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Journal articles on the topic 'Landuse'
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1
Putri, Ratih Fitria, Sunu Wibirama, Sri Rum Giyarsih, Aditya Pradana, and Yanti Kusmiati. "Landuse change monitoring and population density analysis of Penjaringan, Cengkareng, and Cakung Urban Area in Jakarta Province." E3S Web of Conferences 76 (2019): 03004. http://dx.doi.org/10.1051/e3sconf/20197603004.
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Rapid landuse change in an urban area is inevitable. Jakarta as the capital city of Indonesia is experiencing rapid landuse change. Jakarta is the centre of administration, economic activities, and entertainment pull people coming in to Jakarta. The dynamics of demography in Jakarta influences landuse change strongly. This research use three districts in Jakarta to see how landuse change over period of time. They are Penjaringan, Cengkareng, and Cakungsubdistrict. By combining landuse data, demographic features, and spatial data, such as satellite imagery, landuse change can be monitored and explained. The most significant landuse changes are industrial area and settlements. Both landuses are expanding. Meanwhile open spaces are decresing in size. This happens due to high demand of settlements caused by migrants coming in to work in industrial are. The result of this phenomenon is slum area in the city and lack of opened green spaces that can degrade environmental quality.
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Anilkumar, P. P., Koshy Varghese, L. S. Ganesh, and K. S. Krishnaveni. "Quantifying the Interactions of Landuse Allocation and Coastal Zone Systems: A Conceptual Framework." Revista de Gestão Costeira Integrada 23, no. 1 (March 1, 2023): 7–27. http://dx.doi.org/10.5894/rgci-n489.
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This paper presents a conceptual framework for quantifying the impact of landuse on coastal zone systems from a planning perspective. The framework is validated in a coastal zone stretch in Kerala, South India. Coastal critical landuses are identified through an expert questionnaire survey, and their relationship with the Coastal Zone Health Indicator (CHI) is established using the Analytic Hierarchy Process (AHP). The framework, which integrates the CHI models and the CHI Landuse Interaction Matrix (CLIM), is used to compute the changes in CHI values based on different landuse options. The proposed framework was validated using real-life landuse allocation cases in Kozhikode, Kerala, India, and the results showed that the framework could better assess and quantify landuse impacts. The framework is adaptable to different coastal contexts, and its capabilities can be enhanced by incorporating more specific algorithms. The methodology is a potential tool for decision-makers to promote better coastal sustainability by adopting appropriate governance policies and landuse planning decisions.
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Sekhar, M. Chandra, and P. Anand Raj. "Landuse – water quality modelling: a case study." Water Science and Technology 31, no. 8 (April 1, 1995): 383–86. http://dx.doi.org/10.2166/wst.1995.0335.
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There can be no doubt that landuse profoundly affects the quality of water in streams, rivers, lakes and shallow aquifers. However, the task of finding specific cause - effect relationships between different landuses and Water Quality (WQ) is one of the most important ecological challenges of out times. At the present time, few tested procedures are available to study the landuse and Non-Point Source (NPS) pollution impacts on WQ. One methodology which offers considerable promise is the use of statistical analysis of landuse and WQ data from selected regions. Facilitating the systematic application of statistical procedures, in the present investigation, regression equations have been developed between landuse and WQ parameters. The results of the study indicated that landuse can account for up to 45% of the observed variation in mean nitrates, 39% of the observed variation in mean phosphates, 58% of the observed variation in mean fluoride concentration, 46% of the observed variation in mean COD concentrations and 72% of the observed variation in mean potassium concentrations.
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Pratama, B. B., D. Pratiwi, and M. A. Qirom. "Monitoring and identifying forest burnt area using NBR Landsat and Landuse in Central Kalimantan." IOP Conference Series: Earth and Environmental Science 1241, no. 1 (September 1, 2023): 012107. http://dx.doi.org/10.1088/1755-1315/1241/1/012107.
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Abstract Forest fires are one of the phenomena that occur in peatlands in Indonesia. This incident is due to changes in landuse in peatland and occurs repeatedly over a certain period of time. This study aims to monitor and identify burnt areas and landuse changes in the Kahayan River and Sebangau Peat Hydrological Unit (PHU) Central Kalimantan. The analysis was carried out on the Landsat imagery data series and landcover data from Ministry of Environment and Forestry Indonesia from 2014-2019. Analysis conducted with identifying burnt area using the Normalized Burn Ratio (NBR) and intersected with landcover data in that area. The results of the analysis show that forest fires affect landuse changes. Landuses that were significantly affected by forest fires notably shrub swamps, plantations, and dry land farming. Landuse decrease in shrubs swamps by 18% (± 2000 ha) and increase in plantation land by 840% (± 4000 ha) and dry land farming by 6357% (± 9400 ha) prior to forest fires.
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Liu, Zhi Qin, Nan Jun Lang, and Ke Qin Wang. "Research on Soil Infiltration Law of Different Landues Types in Jinsha River Dry-Hot Valley." Advanced Materials Research 726-731 (August 2013): 3867–71. http://dx.doi.org/10.4028/www.scientific.net/amr.726-731.3867.
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This article takes four different slope lands as the experimental points in Jinsha River dry-hot volley. The double-rings method is adopted to illustrate the soil moisture infiltration characteristics in four different landuse types. The results show that different landues types have obvious differences in soil infiltration capability among four different patterns of landuse. Arbor forest behaved the best infiltration capability and wasteland the worst; the average infiltration and the steadily infiltration attains 1.67mm/min and 0.5mm/min respectively during the first 120min of soil water infiltration process in arbor forest; the rate of whatever the average infiltration or the steadily infiltration express the same regulation: the arbor forest is a little higher than the shrub land, the grassland, than the waste land; the moisture infiltration rate in different landuse types can all be thoroughly defined through the Horton equation; Water infiltration is affected by the soil bulk density. With the bulk density increasing, the steady infiltration rate decreases. And the two are at an exponential function.
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Xu, Mingxiang, Yunge Zhao, Guobin Liu, and Robert M. Argent. "Soil quality indices and their application in the hilly loess plateau region of China." Soil Research 44, no. 3 (2006): 245. http://dx.doi.org/10.1071/sr05083.
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Soil quality in the hilly Loess Plateau region of China is seriously degraded due to hillside cultivation and severe soil erosion. No established methods are available for evaluating the regional soil quality nor has integrated soil quality assessment been conducted in the region. Our objectives were to (i) develop soil quality models and assessment methods, (ii) verify the representativeness of selected soil quality indicators, and (iii) evaluate landuse effects on regional soil quality. The research was conducted on 707 km2 of typical hilly Loess Plateau in Shaanxi province, China. Soil samples (total 208) were taken from 5 catchments under 10 different landuse types. Two integrated evaluation methods (weighted summation and weighted product) and 2 indicator sets (a whole and a minimum set) were tested, each producing a soil quality index. Quantitative evaluation of soil quality in different landuse types was also performed. The results showed that the weighted product method provided better differentiation of soil quality between landuses. The minimum indicator set of 8 soil quality indicators, selected by factor analysis from a complete set of 29 soil attributes, reflected all or most of the information of the whole set in assessing regional soil quality. Soil quality index (SQI) values under different landuse types ranged from 0.842 for natural woodland to 0.150 for orchard. Index values for orchard, cropland, revegetated grassland, and planted grassland were significantly less than those for 6 other landuse types, whereas planted shrubland, planted woodland, and natural grassland indices were significantly less than those for greenhouse, natural shrubland, and natural woodland. No significant difference in SQI was found between orchard, cropland, revegetated grassland, and planted grassland, or between planted shrubland and planted woodland. Overall, it was found that soil quality was generally poor across the region, except for natural woodland, shrubland and greenhouse areas.
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Chidi, C. L. "Geomorphic determinanats of landuse intensity." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-8 (November 28, 2014): 703–7. http://dx.doi.org/10.5194/isprsarchives-xl-8-703-2014.
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Increasing population growth and lacking of further spatial expansion of various landuse have compelled to look intensity dimension of landuse. Grid cell based data extraction can give unique character of each locality of small land unit area which is very suitable technique for data extraction in the hill areas like Nepal. Landform plays an important role determining landuse intensity. Freely available 30m resolution Aster GDEM image has been used to extract geomorphic variables. Landuse data has been taken from aerial photo 1996. Quantitative weight has been given to landuse categories on the basis input, output and ecological importance for human life. One hectare square grid cells have been generated to extract geomorphic and landuse intensity information. The result shows that the average intensity of landuse is highly related to summarized categories of each geomorphic variable. Graphical presentation and quantitative analysis have been used to identify the effect of geomorphic variables on land use intensity. Simple and multiple correlation and regression analysis shows that there is higher control of altitude, slope gradient and slope aspect on landuse intensity. The average landuse intensity is highly determined by geomorphic variable then in local level. Multiple correlation coefficients is found to be 0.42 and the adjusted R² representing coefficient of determination is 0.178 which is significant at more than 99 % of confidence level. So, it can be concluded that geomorphic factors have contributed 17.8 % of the total variation determining landuse intensity in the study area.
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Kumar, V. "Landuse Patterns, Air Quality and Bird Diversity in Urban Landscapes of Delhi." Zoodiversity 56, no. 1 (March 25, 2022): 39–50. http://dx.doi.org/10.15407/zoo2022.01.039.
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In the present paper we attempted to explain the relationships among the landuse pattern, levels of air pollutants and bird diversity based on data from 5 sampling sites in Delhi. Five landuse categories- percent built up area, tree cover, park area and barren area were recognized in the study area. The objective of this study is to find out the effects of landuse changes on air pollution and bird diversity and whether birds can serve as indicator of landuse changes and air pollutants. The levels of six air pollutants (PM10, PM2.5, NOX, SO2, Ozone and Benzene) from the monitoring stations were used. The bird diversity was assessed using conventional measures. All the sites showed remarkable differences with respect to each of the five landuse categories, air pollution levels, and bird diversity. The results suggest that landuse changes influence air pollution and bird diversity and some bird species can be used as indicator of landuse change and air pollution.
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Pertiwi, Titis Chris Monika, and Aditya Saputra. "Landuse Change Prediction on Super-Priority Tourism Destination in Labuan Bajo, Indonesia." E3S Web of Conferences 500 (2024): 03043. http://dx.doi.org/10.1051/e3sconf/202450003043.
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Labuan Bajo recognized as one of the five super-priority tourism destinations established by the Indonesian President in 2019, has experienced a gradual increase in both tourist visits and infrastructure development over time. This development causes landuse changes around the tourism area to support tourism activities. The objectives of this research involve analyze of landuse change within Labuan Bajo Urban Area in 2011, 2017, 2023, and predict the landuse in 2029, analyze the factors influencing landuse change, and analyze the suitability of the predicted landuse in 2029 against the City Spatial Plan. This study employs spatiotemporal analysis using Ca-Markov and binary logistic regression model. The outcomes show that the change analysis reveals built-up areas expanded by 161 ha from 2011 to 2017, expanded by 246 ha from 2017 to 2023, and projected to increase to 267 ha in 2029. This reveals a substantial rise landuse change from 2017 to 2023. According to the model, the most influential driving variables on landuse change are the distance to tourist attractions, followed by collector roads, restaurants, arterial roads, transportation infrastructure, and hotels. The landuse suitability against the City Spatial Plan is suitable for 14.791 ha (98,5%), sufficient for 131 ha (1%), and unsuitable for 66 ha (0,5%). The substantial increase requires continuous monitoring to identify the direction of change. This research provides valuable perspectives on how elements of tourism development contribute to the dynamics of landuse transformation in the tourism area.
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Putri, Ratih Fitria, Aji Wijaya Abadi, and Naufal Fattah Tastian. "Impacts of Population Density for Landuse Assessment in Cengkareng, West Jakarta." Journal of Geoscience, Engineering, Environment, and Technology 5, no. 2 (June 24, 2020): 56–67. http://dx.doi.org/10.25299/jgeet.2020.5.2.3705.
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Economic development in Jakarta has been influencing physical and social characteristics of urban area significantly. For recent years, burgeoning population growth occurs as a result of urban development and contributes to the landuse dynamics in a certain area. Cengkareng, is one of the most developed urban areas in Jakarta and has been experiencing such population and landuse dynamics. Its strategic location has turned this area becomen densely-populated. Increasing population density increase land demand, shapes the settlement pattern, and changes the landuse of the area. A study conducted in Cengkareng District has been done to describe how the population density impacts the landuse features for landuse assessment. The method implemented in this study combines quantitative and qualitative to process statistics and satellite imagery to produce data of population density, landuse change, and settlement pattern of the studied area. The study resulted that Cengkareng has experienced such significant landuse change which is dominantly converted into settlement and offices due to rising of population density. Nucleated settlement pattern has taken more area regarding to increased land need over land supply. It becomes serious problem for Cengkareng such aa slum settlements, flood problems, and land subsidence.
Keywords: Landuse change; Population density; Settlement pattern
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Bormann, H. "Effects of grid size and aggregation on regional scale landuse scenario calculations using SVAT schemes." Advances in Geosciences 9 (September 26, 2006): 45–52. http://dx.doi.org/10.5194/adgeo-9-45-2006.
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Abstract. This paper analyses the effect of spatial input data resolution on the simulated effects of regional scale landuse scenarios using the TOPLATS model. A data set of 25 m resolution of the central German Dill catchment (693 km2) and three different landuse scenarios are used for the investigation. Landuse scenarios in this study are field size scenarios, and depending on a specific target field size (0.5 ha, 1.5 ha and 5.0 ha) landuse is determined by optimising economic outcome of agricultural used areas and forest. After an aggregation of digital elevation model, soil map, current landuse and landuse scenarios to 50 m, 75 m, 100 m, 150 m, 200 m, 300 m, 500 m, 1 km and 2 km, water balances and water flow components for a 20 years time period are calculated for the entire Dill catchment as well as for 3 subcatchments without any recalibration. Additionally water balances based on the three landuse scenarios as well as changes between current conditions and scenarios are calculated. The study reveals that both model performance measures (for current landuse) as well as water balances (for current landuse and landuse scenarios) almost remain constant for most of the aggregation steps for all investigated catchments. Small deviations are detected at the resolution of 50 m to 500 m, while significant differences occur at the resolution of 1 km and 2 km which can be explained by changes in the statistics of the input data. Calculating the scenario effects based on increasing grid sizes yields similar results. However, the change effects react more sensitive to data aggregation than simple water balance calculations. Increasing deviations between simulations based on small grid sizes and simulations using grid sizes of 300 m and more are observed. Summarizing, this study indicates that an aggregation of input data for the calculation of regional water balances using TOPLATS type models does not lead to significant errors up to a resolution of 500 m. Focusing on scenario effects the model is more sensitive to input data aggregation as aggregation effects of current data and scenarios partly sum up. The maximum reasonable grid size for scenario calculations decreases to 200–300 m.
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Harish, H. S., and A. S. Rayamane. "Agricultural landuse intensity efficiency: A case study of Mandya district." Geo Eye 8, no. 2 (December 15, 2019): 57–61. http://dx.doi.org/10.53989/bu.ge.v8i2.9.
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Agricultural landuse efficiency is a complex and dynamic concept. Any change in socioeconomic and agro technology input application brings corresponding change in the efficient utilization of the natural quality and availability of arable land. It represents the degree of optimal use and performance of cultivated as well as cultivable land. The present study is based on secondary source of published data for the years 1991 and 2017 obtained from the statistical magazine of Mandya district. The main aim of the selected study are, to know the landuse intensity efficiency in Mandya district & to analyze the regional disparities of landuse intensity efficiency. Here an attempt is made in the present study to know and find the agricultural landuse by adopting Kendal’s Ranking Co-efficient method by taking six variables and the results has been interpreted and presented in the form of Choropleth map. Keywords: Landuse efficiency; Kendal’s Ranking; Net sown area
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Utaya, Sugeng. "Pengaruh Perubahan Penggunaan Lahan terhadap Sifat Biofisik Tanah dan Kapasitas Infiltrasi di Kota Malang." Forum Geografi 22, no. 2 (December 20, 2008): 99. http://dx.doi.org/10.23917/forgeo.v22i2.4986.
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Land use management causes the changes of the function of the land in the city. The change of the function of uncultivated land to be cultivated land has a potential to change soil biophysical characteristic, and at the same time, it decreases the absorption of soil water. This research aims: (1) to study the influence of the landuse change towards soil biophysical characteristics, (2) to study the correlation between soil biophysical characteristics and infiltration capacity, and (3) to study the influence of the landuse change towards the infiltration capacity. The landuse change is studied by comparing the ongoing mapping documents. Soil biophysical characteristics consist of root biomass, number of worms, soil organic matter (SOM), and porosity. The root biomass is obtained by root density, the number of worms is identified with monolith and hand sorting method, the SOM is identified with fraction analysis, and the porosity is identified with cylinder and pignometer method. The water absorption is measured with the plot experiment. The influence of the landuse towards soil biophysical traits is analyzed T-test and the influence of landuse change towards infiltration capacity is analyzed correlatively. This research gains the results that: (1) the landuse change causes the change of soil biophysical traits, too, and the soil biophysical traits change causes, furthermore, the declining of the land capability in absorbing water, and (2) the amount of the infiltration capacity is caused by soil biophysical traits, mostly by root biomass, number of worms, and the SOM, and (3) the landuse change causes the declining of infiltration capacity.
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Worosuprodjo, Suratman. "Analisis Spasial Ekologikal Sumberdaya Lahan di Provinsi Daerah Istimewa Yogyakarta." Forum Geografi 21, no. 2 (August 15, 2016): 95. http://dx.doi.org/10.23917/forgeo.v21i2.2354.
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Land resources is an important geographical aspect related to landuse allocation for human living. The aim of this research is to study the spatial ecological analysis for land resources in related to landuse type in the Province ofYogyakarta Special Region, the approach used in the research is landscape analysis based on geomorphological mapping, topographic map at scale 1:100000. Land resources potential in the study area can be classified based on landscape such as volcanic landscape, fluvial landscape, marine and eolion landscape, karst landscape (Gunung Sewu), structural - denudational landscape (Balur Agung). Landuse can be alocated based on the landscape condition, and limitation. Land limitation such as slope steepness, soils, natural hazard, water resources in each landscape can be used as detrminant factors in the landuse plan.
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Agustini, Sri, Suparman Suparman, and Hia Cinta Tridamayanti. "Landuse Planning for Food Crop Areas Development Using Land Resource Evaluation Approach and GIS Application (a Case Study of Pulang Pisau District, Central Kalimantan Province)." Jurnal Lahan Suboptimal : Journal of Suboptimal Lands 9, no. 1 (April 1, 2020): 64–72. http://dx.doi.org/10.33230/jlso.9.1.2020.471.
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Agustini S, Suparman S, Tridamayanti HC. 2020. Landuse planning for food crop areas development using land resource evaluation approach and gis application (a case study of Pulang Pisau District, Central Kalimantan Province). Jurnal Lahan Suboptimal: Journal of Suboptimal Lands 9(1): 64-72.In order to promote sustainable landuse, the need of landuse planning is urgently required and it can be designed based on the result of spatial land resource data management. Land resource evaluation is main component for landuse planning which this procedure was applied to determine land allocation for arable lands for rice farming development. The use of geographic information system (GIS) technology was also employed not only for spatial data management, but they could also be applied to support decision making within establishing landuse planning. The objective of this study was to allocate the arable lands for extensification and intensification regions as main part of landuse planning for food crops areas development. In the case of Pulang Pisau District, land allocation for extensification and intensification regions were mainly found in southern part and mostly located at watershed areas with each total areas respectively of 380,261 hectares (36.81%) and 29,941 hectares (2.90% of total areas of Pulang Pisau District). In order to support these potential areas, specific programs could then be formulated to increase the yield and productivity for these regions.
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Rahardian, Andiri, and Imam Buchori. "Dampak Perubahan Penggunaan Lahan Terhadap Limpasan Permukaan dan Laju Aliran Puncak Sub DAS Gajahwong Hulu Kabupaten Sleman." JURNAL PEMBANGUNAN WILAYAH & KOTA 11, no. 4 (December 29, 2016): 127. http://dx.doi.org/10.14710/pwk.v12i2.12890.
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Upstream Gajahwong Sub-Watershed included in Yogyakarta Urban Agglomeration Region and regional development of tourism that utilizes the beauty of the slopes of Mount Merapi also the support accessibility (Solo-Magelang-Semarang road; this condition is assumed to be the cause of landuse changes, followed by vegetation land shrinkage. The shrinkage’s result is water catchment areas reduction that disrupts the Sub-Watershed hydrology function. One of indication is the increasing flood discharge that can be seen from the changes in surface runoff and peak flow rate. This research aims to assess the impact of landuse change on surface runoff and peak flow rate in Gajahwong Sub-Watershed using a quantitative method that consists of spatial and mathematic analysis with SCS and Rational Method. The results showed that the landuse changes impact on increasing surface runoff and peak flow rate. The surface runoff in year 2002 amounted to 3.073 mm with a peak flow rate of 98.02 m³/sec then increased to 3.901 mm with a peak flow rate of 101.65 m³/sec in year 2011. The landuse changes that occur tend to built landuse which was followed by vegetation shrinkage and impact on the increase in surface runoff and peak flow rate. Predictions in year 2031 also showed an increase in surface runoff and peak flow rate, if there is a tendency of landuse changes linearly as landuse changes in year 2002 – 2011. Alternative analytical efforts to handle surface runoff and peak flow rate showed that by combining the development of Green Open Space with water conservation technology (Biopori and Infiltration Wells) can reduce surface runoff and peak flow rate.
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Sun, Bo, Yang Zhang, Qiming Zhou, and Xinchang Zhang. "Effectiveness of Semi-Supervised Learning and Multi-Source Data in Detailed Urban Landuse Mapping with a Few Labeled Samples." Remote Sensing 14, no. 3 (January 29, 2022): 648. http://dx.doi.org/10.3390/rs14030648.
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Detailed urban landuse information plays a fundamental role in smart city management. A sufficient sample size has been identified as a very crucial pre-request in machine learning algorithms for urban landuse classification. However, it is often difficult to recognize and label landuse categories from remote sensing images alone. Alternatively, field investigation is time-consuming with a high demand in human resources and monetary cost. Therefore, previous studies on urban landuse classification have often relied on a small size of labeled samples with very uneven spatial distribution. This study aims to explore the effectiveness of a semi-supervised classification framework with multi-source data for detailed urban landuse classification with a few labeled samples. A disagreement-based semi-supervised learning approach, the Co-Forest, was employed and compared with traditional supervised methods (e.g., random forest and XGBoost). Multi-source geospatial data were utilized including optical and nighttime light remote sensing and geospatial big data, which present the physical and socio-economic features of landuse categories. Taking urban landuse classification in Shenzhen City as a case, results show that the classification accuracy of the semi-supervised method are generally on par with that of traditional supervised methods, and less labeled samples are needed to achieve a comparable result under different training set ratios. Given a small sample size, the accuracy tends to be stable with training samples no less than 5% in total. Our results also indicate that the classification accuracy by using multi-source data is significantly higher than that with any single data source being applied. Among these data, map POI and high-resolution optical remote sensing data make larger contributions on the classification, followed by mobile data and nighttime light remote sensing data.
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Essery, C. L., and D. N. Wilcock. "An appraisal of SPOT imagery to investigate landuse in the River Main drainage basin, N. Ireland." Irish Geography 19, no. 1 (December 20, 2016): 15–22. http://dx.doi.org/10.55650/igj.1986.705.
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The study described here was designed to test the use of SPOT imagery for the mapping and assessment of landuse. Unlike England & Wales, no landuse maps are available in N. Ireland and as such all testing is achieved by Field ground truth.Numerous techniques, ranging from the use of single band (3) through ratios and vegetation indices to maximum-likelihood, were used to enable a successful classification. The major problem was the similarity of bare soil (arable landuse) and heather. The solution to this problem involved the use of a 3/2 ratio to give landuse classes augmented by an “edited” box classification which gives an estimate of the bare soil/arable component. This problem may not be significant in future studies, provided the fly-over occurs during the period of growth for arable crops.Testing of the classification developed from SPOT data was undertaken using field ground truth and agricultural statistics for the year 1984. Landuse derived from the classification was shown to agree with ground truth on 97% of all cases, while the areal estimates of landuse types produced an r2 value of 0.9607 when plotted against estimates derived from official 1984 Agricultural Statistics.Production of this classification would have been virtually impossible with other available imagery for several reasons, the prime reason being the relatively small field size in Northern Ireland. Standard Landsat-3 imagery was found to be of little use in comparison with that from SPOT imagery.
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Fashae, Olutoyin, and Adeyemi Oludapo Olusola. "Landuse Types within Channel Corridor and River Channel Morphology of River Ona, Ibadan, Nigeria." Indonesian Journal of Geography 49, no. 2 (December 27, 2017): 111. http://dx.doi.org/10.22146/ijg.12738.
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The importance of river a corridor warrants a well thought out and balanced management approach because it helps in improving or maintaining water quality, protecting wetlands, etc. Hence, this study seeks to identify major landuse types within the River Ona Corridor; examine the impact of these landuse types within the River Ona corridor on its channel morphology and understand the risk being posed by these landuse types. The study is designed by selecting two reaches of six times the average width from each of the four major landuse types that exist along the river corridor. This study revealed that along the downstream section of Eleyele Dam of River Ona, natural forest stabilizes river channel banks, thereby presenting a narrow and shallow width and depth respectively but the widest of all is found at the agricultural zones.
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Alhassan, A., W. A. Agyare, and C. Y. Asante. "Impact of Landuse Changes on Soil Erosion and Sedimentation in the Tono Reservoir Watershed Using GeoWEPP Model." International Journal of Irrigation and Agricultural Development (IJIRAD) 1, no. 1 (January 24, 2018): 106–19. http://dx.doi.org/10.47762/2017.964x.27.
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Sediment delivery from the Tono Reservoir watershed in the Upper East Region of Ghana is of major concern, necessitating the need to estimate the rate of siltation of the reservoir. This study determined the current volume of silt in the reservoir, mapped landcover changes using Landsat images and employed Water Erosion Prediction Project (WEPP) model, to simulate hydrology and sediment dynamics for three landuse/landcover scenarios. The Geo-spatial interface for WEPP (GeoWEPP) was used to characterize upland overland flow elements based on their landuse/landcover, soil, and slope profiles. Using characteristics obtained from GeoWEPP as inputs for the WEPP model runoff fluxes, soil loss rates, and sediment delivery ratio (SDR) for three environmental scenarios: landuse/landcover with agricultural lands under fallow tilled management (Scenario 1), landuse/landcover with agricultural lands under corn, soybean no till management (Scenario 2), landuse/landcover with non-agricultural lands under shrub-perennial (Scenario 3) were estimated. Over the simulated 29-year period; runoff depth, soil loss rate and SDR were estimated to be 118.4 mm, 22.8 t/ha, and 0.68 for Scenario 1; 94.6 mm, 2.8 t/ha, and 0.31 for Scenario 2; and 57.7 mm, 0.6 t/ha, and 0.92 for Scenario 3. Shrubland had decreased by 8 %, bareland area had increased by 9.1 %, and the reservoir area had also decreased by 3.7 %. The study indicates landuse/landcover change impacts significantly on land degradation and hydrology of the Tono reservoir and subsequently accounts for the reduction in reservoir capacity by about 1.74 % on annual basis observed through the bathymetric survey.
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Bezruchko, L. "Development of recreational digression on the Shack National natural park territory." Visnyk of the Lviv University. Series Geography, no. 36 (May 15, 2009): 23–30. http://dx.doi.org/10.30970/vgg.2009.36.2947.
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Methodical aspect of exploration of negative recreational landuse influence on the environment were worked up in the article. Was examined recreational degression on the Shack National Natural Park territory and it’s phases on the areas with different functional zones were extracted. Key words: recreational landuse, recreational degression, functional zones.
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Sadeghi, Sajad, Bahram Saghafian, and Mohsen Najarchi. "Assessment of impacts of change in land use and climatic variables on runoff in Tajan River Basin." Water Supply 20, no. 7 (July 29, 2020): 2779–93. http://dx.doi.org/10.2166/ws.2020.169.
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Abstract The main objective of the present study was to investigate runoff response to climate variables as well as landuse change over the past 30 years in Tajan River Basin, using the SWAT model. After the model calibration, four different scenarios were simulated and compared. Comparison of simulated runoff results determined from different scenarios indicated that climatic variables reduced the amount of runoff while the landuse change increased this amount in most months of the year. Simulated runoff under three landuse scenarios in all months demonstrated that the runoff achieved from scenario 1 was smaller than scenarios 2 and 4. In scenario 4, the runoff amount increased by 3–21% and 0.8–13% in Kordkheil station compared to those of scenario 1 and scenario 2, respectively. Furthermore, the increase in runoff for scenario 4 is 3–19% and 2–12% in Rig Cheshmeh station relative to those of scenario 1 and scenario 2, respectively. Nonetheless, the maximum change in runoff was only 6% under climatic variables. Hence, landuse had more significant impacts on the runoff compared to climatic variables.
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Le, Tuan Ngoc, and Bang Van Nguyen. "Assessing impacts of climate change to landuse sector in Vinh Long province." Science and Technology Development Journal - Natural Sciences 1, no. 6 (December 8, 2018): 225–36. http://dx.doi.org/10.32508/stdjns.v1i6.633.
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This work aimed at assessing impacts of climate change (CC) on landuse sector in Vinh Long province to 2020. Flood, saltwater intrusion (SI), drought, landslide, storm, temperature, rainfall were taken into consideration and assessed by data collection, matrix, expert, SWOT, and GIS methods, etc. Results showed that flood and SI were the main factors impacting landuse sector in VinhLong province, especially agricultural land. In all 8 considered districts, in the context of CC, landuse sectors in VungLiem, TraOn, and MangThit districts were of the consideration. Besides, this research indicated strengths, weaknesses, opportunities, and threats of land use sector in the relationship to CC in the local which are important basis for planning suitable adaption measures.
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Holko, L., and Z. Kostka. "Impact of landuse on runoff in mountain catchments of different scales." Soil and Water Research 3, No. 3 (October 31, 2008): 113–20. http://dx.doi.org/10.17221/16/2008-swr.
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The paper presents two approaches to the analysis of the impacts of landuse changes on hydrological regime in mountain catchments of northern Slovakia. An intersite comparison of measured data along the Jalovecký creek was used to test whether different landuse can be identified by means of water balance data and characteristics of runoff events. Although the comparison provided extended knowledge of the catchment, the only characteristic which might indicate possible impact of different landuse is the ratio of peakflow to flow at the beginning of the event. Simulations by means of spatially distributed hydrological model showed that different (extreme) scenarios resulted in relatively subtle impacts compared to uncertainties connected with hydrological modelling.
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Krevs, Marko. "Urban landuse change in Ljubljana." Dela, no. 22 (December 31, 2004): 55. http://dx.doi.org/10.4312/dela.22.5.55-65.
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Bukhtoyarov, N. I., E. V. Nedikova, and P. V. Polyakov. "EKOLOGO-EKONOMICHESKAYA ASSESSMENT ADAPTIVE LANDUSE." Region:systems,economics,management 39, no. 4 (2017): 132–37. http://dx.doi.org/10.22394/1997-4469-2017-39-4-132-137.
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Ingwani, Emaculate. "Struggles of Women to Access and Hold Landuse and Other Land Property Rights under the Customary Tenure System in Peri-Urban Communal Areas of Zimbabwe." Land 10, no. 6 (June 18, 2021): 649. http://dx.doi.org/10.3390/land10060649.
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The struggles of women to access and hold landuse and other land property rights under the customary tenure system in peri-urban communal areas is increasingly becoming a cause for concern. These debates are revealed using a case study of a peri-urban communal area called Domboshava in Zimbabwe. Women living in this peri-urban communal area struggle to access and hold landuse and other land property rights registered under their names. The aim of this paper is to present an analysis of the struggles faced by women to access and hold landuse and other land property rights in Domboshava. This paper is a product of a literature review on land property rights, land tenure systems, and peri-urbanity more generally. Field data was intermittently collected in the peri-urban communal area of Domboshava over a period of four years from 2011 to 2014, as well as through post-research social visits stretching to 2019. Thirty-two women were conveniently selected and interviewed. I applied Anthony Giddens’ structure-agency theory as a framework of analysis. The struggles to access and hold landuse and other land property rights by women are rooted in land transactions, social systems including the customary land tenure, patriarchy, as well as the peri-urban context of Domboshava. Responsible authorities on land administration in communal areas need to acknowledge the existence of new and invented ways of accessing and holding landuse and land property rights under the customary land tenure system, as well as to find ways to mobilize more opportunities for women on the peri-urban land market.
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Ampofo, Steve, Mercy Ama Boadi Manu, Boateng Ampadu, and Melvin-Guy Adonadaga. "Impact of Landuse and Landcover Changes on Hydrological Components of the Oti Sub-Basin of Ghana." Ghana Journal of Science, Technology and Development 8, no. 2 (December 11, 2022): 60–70. http://dx.doi.org/10.47881/375.967x.
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Landuse and landcover have over the decades been undergoing changes as a result of natural and human activities. These changes for a given area can be attributed to fluctuations in the infiltration ability of the land, leading to changes in the hydrological cycle of a given catchment area. This research assessed some of the impacts that landuse and landcover changes coupled with climate variations have on the hydrological components of the Oti sub-basin of Ghana using the Soil Water Assessment Tool (SWAT) with ArcGIS® interface for the development of models from which conclusions were drawn. The research incorporated into the SWAT system two landuse and landcover data: 1984 and 2013 which were modeled and evaluated alongside soil, slope and climate dataset. The results from running the model indicated a very significant change in landuse and landcover and a loss of forest cover which has negative effect on the hydrological components of the basin. Also, the rainfall trend analysis gave negative significant values of -2.28 and -2.78 for the two stations located at Zabzugu and Bimbila within the basin. Together, these changes have led to an increase in evapotranspiration (ET) and decrease in surface water, lateral flow and groundwater recharge. This is an indication that climate change impact on the basin is a function of the landuse and landcover changes. There is an urgent need for all stakeholders to help protect the basin from anthropogenic activities such as farming too close to the basin in order to prevent future water availability issues in the basin.
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SUPRIYA, KALYANI, R. K. AGGARWAL, and S. K. BHARDWAJ. "Impact of Landuses on Air and Water Quality- A Review." Current World Environment 13, Special issue 1 (November 25, 2018): 11–21. http://dx.doi.org/10.12944/cwe.13.special-issue1.03.
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Landuse alteration is one of the primary causes of global environmental change. Changes in the landuse usually occurred regionally and globally over last few decades and will carry on in the future as well. These activities are highly influenced by anthropogenic activities and have more serious consequences on the quality of water and air. In the present study relationship between land use impact on water and air quality have been reviewed.
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Rahman, Munshi K., Thomas W. Schmidlin, Mandy J. Munro-Stasiuk, and Andrew Curtis. "Geospatial Analysis of Land Loss, Land Cover Change, and Landuse Patterns of Kutubdia Island, Bangladesh." International Journal of Applied Geospatial Research 8, no. 2 (April 2017): 45–60. http://dx.doi.org/10.4018/ijagr.2017040104.
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This study utilizes geospatial tools of remote sensing, geographical information systems (GIS), and global positioning system (GPS) to examine the land loss, land cover (LC) change, landuse of Kutubdia Island, Bangladesh. Multi-spectral Scanner (MSS), Thematic Mapper (TM), and Landsat8 OLI imageries were used for land cover change. For assessing the landuse patterns of 2012, spatial video data were collected by using contour GPS camera. Using remote sensing analysis three different land cover classes (water, trees and forest, and agriculture) were identified and land cover changes were detected from 1972 to 2013. The results show from 1972 to 2013, an estimated 9 km2 of land has been lost and significant changes have taken place from 1972 to 2013. Only an estimated .35 km2 area of accretion has taken place during the study period. Using GIS eight different landuse patterns were identified based on spatial video data.
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Ahmad, Farooq. "Detection of change in vegetation cover using multi-spectral and multi-temporal information for district Sargodha, Pakistan." Sociedade & Natureza 24, no. 3 (December 2012): 557–71. http://dx.doi.org/10.1590/s1982-45132012000300014.
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Detection of change is the measure of the distinct data framework and thematic change information that can direct to more tangible insights into underlying process involving land cover and landuse changes. Monitoring the locations and distributions of land cover changes is important for establishing links between policy decisions, regulatory actions and subsequent landuse activities. Change detection is the process that helps in determining the changes associated with landuse and land cover properties with reference to geo-registered multi-temporal remote sensing information. It assists in identifying change between two or more dates that is uncharacterized of normal variation. After image to image registrations, the normalized difference vegetation index (NDVI), the transformed normalized difference vegetation index (TNDVI), the enhanced vegetation index (EVI) and the soil-adjusted vegetation index (SAVI) values were derived from Landsat ETM+ dataset and an image differencing algorithm was applied to detect changes. This paper presents an application of the use of multi-temporal Landsat ETM+ images and multi-spectral MODIS (Terra) EVI/NDVI time-series vegetation phenology metrics for the District Sargodha. The results can be utilized as a temporal land use change model for Punjab province of Pakistan to quantify the extent and nature of change and assist in future prediction studies. This will support environmental planning to develop sustainable landuse practices.
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Onyedikachim Ihuoma Njoku and Joel Izuchukwu Igbokwe. "Evaluation of the socio-economic impact of landcover / landuse changes in Owerri Municipal, Imo State, Nigeria using remote sensing and geographic information systems." World Journal of Advanced Research and Reviews 12, no. 3 (December 30, 2021): 175–80. http://dx.doi.org/10.30574/wjarr.2021.12.3.0665.
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The study aimed at evaluating the socio-economic impact of landcover / landuse changes in Owerri Municipal, Imo State, Nigeria using remote sensing and GIS with a view to improving the quality of life and social development through its objectives; to identify the changes of the landcover and landuse pattern of the study area for a period of 30 years i.e. 1987 to 2002 to 2017, to evaluate the socio-economic and environmental impact of these changes and to predict future impact of landcover / landuse changes in the study area. The methodology adopted in this study involved sourcing of satellite data from United States Geological Survey (USGS) for the period of years under study, social survey in Owerri Municipal Area for socio-economic impact monitoring. ArcGIS 10.5 and QGIS 2.9 software were used for data processing, analysis and presentation. The study observed a significant increase in built-up area from 1987 (34%) to 2017 (65%), on the contrary, there was a noticeable decrease in the class of bare land (26% to 12%) and vegetation. (37% to 15%) followed by water body which kept fluctuating as result of rainfall. Rapid population growth triggered by rural urban migration coupled with hasty socio-economic development were the main drivers of these changes. Results showed that remote sensing and GIS approach are recommended for further studies as the tools are efficient for landcover/landuse mapping.
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Shrestha, Shobha. "Spatial Structure of Urban Landuse in Kathmandu Valley." Journal on Geoinformatics, Nepal 14 (March 13, 2017): 41–45. http://dx.doi.org/10.3126/njg.v14i0.16975.
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Spatial structure of urban land use has been interest of study since early 20th century. The current study examines dynamics of spatial structure of urban agricultural landuse and how agricultural landuse is placed within the existing structure. The study explores the direction and dimension of landuse change and characteristics of spatial fragmentation in Kathmandu Valley. Technological tools like GIS and Remote Sensing, and Spatial metrics/indices has been used for spatial analysis. The study shows that within ten years time span of 2003 to 2012, urban land use has gone drastic change in Kathmandu valley. Remarkable change in terms of pace and direction is evident in agriculture and built-up classes which signifies the rapid urbanization trend in the valley. The finding shows that spatial structure of the urban landuse of the valley is impending towards more heterogeneous and diverse landscape. Similarly, spatial fragmentation analysis highlights characteristic development of new isolated urban patches inside relatively larger agriculture patches fragmenting them into number of smaller patches. The study concludes that the importance of GIS/RS tools and technology in identifying and analyzing structure and dynamics of land use within prevailing complex urban system of Kathmandu valley is reasonable. The composition and configuration of spatial structure computed through spatial metrics are thus helpful for understanding how landscape develops and changes over time.Nepalese Journal on Geoinformatics, Vol. 14, 2015, Page: 41-45
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Salam, MA, F. Tazneen, and ASMN Chowdhury. "Geomorphological Study of Jaflong Area near Dauki Fault Using Remote Sensing and Geographic Information System." Journal of Environmental Science and Natural Resources 12, no. 1-2 (February 11, 2021): 151–55. http://dx.doi.org/10.3329/jesnr.v12i1-2.52011.
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Geomorphology is closely related to geology, soil science, hydrology and environmental science and is being increasingly applied in planning, mining and hydrological sectors, and within environmental consultancy and tourism. The study area lies in the north-eastern part of the country and tectonically this area belongs to Surma Basin situated into Bengal Fore deep zone of Bengal Basin also known as Sylhet Trough. Under this study an attempt was made to establish the relationship between geomorphic unit and existing landuse based on remote sensing data. In the study area nine landuse categories were identified through remote sensing and GIS techniques. Two different physiographic units which are North-Eastern Terrace Land and Surma-Kushiyara Flood Plain are belongs to the study are. Moreover two surface geological units include Young Gravelly Sand and Marsh Clay and Peat are also there. From analysis no relationship has been found between landuse classes with its physiography and surface geology.
Environ. Sci. & Natural Resources, 12(1&2): 151-155, 2019
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Moojong, Park, Jun Hwandon, and Shin Minchul. "Estimation of sediments in urban drainage areas and relation analysis between sediments and inundation risk using GIS." Water Science and Technology 58, no. 4 (September 1, 2008): 811–17. http://dx.doi.org/10.2166/wst.2008.283.
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Sediments entering the sewer in urban areas reduce the conveyance in sewer pipes, which increases inundation risk. To estimate sediment yields, individual landuse areas in each sub-basin should be obtained. However, because of the complex nature of an urban area, this is almost impossible to obtain manually. Thus, a methodology to obtain individual landuse areas for each sub-basin has been suggested for estimating sediment yields. Using GIS, an urban area is divided into sub-basins with respect to the sewer layout, with the area of individual landuse estimated for each sub-basin. The sediment yield per unit area for each sub-basin is then calculated. The suggested method was applied to the GunJa basin in Seoul. For a relation analysis between sediments and inundation risk, sub-basins were ordered by the sediment yields per unit area and compared with historical inundation areas. From this analysis, sub-basins with higher order were found to match the historical inundation areas.
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Ping, Fan, and Qiang Liu. "Response of Streamflow to Climate Changes within a Mountainous Catchment." MATEC Web of Conferences 203 (2018): 07006. http://dx.doi.org/10.1051/matecconf/201820307006.
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Climate changes combined with alteration in landuse, alter the hydrological processes and has increased flood risk in urban area. A better understanding of how the climate alter streamflow in the catchment of city surrounding area would help to reduce urban flood risk. In the present study, we assessed the response of streamflow to climate changes in a mountainous catchment of city surrounding area, Dashi River catchment, China. The Distributed Hydrology-Soil-Vegetation Model (DHSVM) was used to simulate the streamflow in different scenarios of climate and landuse changes. Results showed that: (i) DHSVM showed suitable performance in terms of calibration and validation periods; and (ii) Streamflow increased/decreased with increasing/decreasing precipitation, while decreased with increasing air temperature. And the increases or decreases in precipitation can directly lead to the significant corresponding directional changes in the streamflow, especially in summer season. The results would help to understand streamflow response to changes in climate and landuse, and help to reduce the flood risk in the urban regions.
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Kumar, Virendra, and Vijay Kumar Singh Rathore. "URBAN SPATIAL GROWTH AND LANDUSE CHANGE DETECTION ANALYSIS OF ALIGARH CITY, UTTAR PRADESH, INDIA USING HIGH RESOLUTION REMOTE SENSING DATA, GEOGRAPHICAL INFORMATION SYSTEM (GIS) AND GLOBAL POSITIONING SYSTEM (GPS) TECHNIQUES." International Journal of Engineering Technologies and Management Research 3, no. 9 (April 22, 2020): 1–11. http://dx.doi.org/10.29121/ijetmr.v3.i9.2016.582.
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Use of High Resolution temporal satellite imageries and Geographical Information System(GIS) provide us present and past status of extensions and Landuse change in oukskirts ofurban centres. The present paper is an attempt to analyze the temporal urban growth andlanduse change of Aligarh city using Survey of India Topographical Map surveyed in 1971and IKONOS satellite data of various time periods from 2004, 2009 and 2014. The resultshows that in 1971 the urban built-up land of the city based on SOI Topographical Map was2224.6555 hectare, based on interpretation of IKONOS satellite imagery of 2004, 2009 and2014 , the urban built-up area of the city is 4724.7614 hectare in 2004, 5872.6774 hectare in2009 and 7059.8875 hectare in 2014 respectively. This has increased to 2500.1059 hectare in aperiod of 33 years from 1971 to 2004 and in the period from 2004-2009 and 2009-2014 it hasincreased by 1148 hectare and 1187.211 hectare respectively. Agricultural land,Orchard/Plantations and water bodies to built-up (urban) has been calculated in GIS and ithas been observed that there is a tremendous increase in the built-up urban area. The loss ofprime arable land, orchard/plantation and water bodies has been converted in to built-upurban land. The digital database created for urban growth and landuse change of Aligarhcity, Uttar Pradesh, India using multi-date data in Arc-GIS software would be very useful forurban development authorities, planners, decision makers for better landuse planning andmanagement for proposed landuse programmes.
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Debataraja, I. B., D. H. Pradana, and N. L. Winarni. "The impact of landuse and the relationship between NDVI on the bird species richness in Sukmajaya District, Depok." IOP Conference Series: Earth and Environmental Science 846, no. 1 (September 1, 2021): 012004. http://dx.doi.org/10.1088/1755-1315/846/1/012004.
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Abstract A high human population increase will affect the landuse change, and as a result, there will be a conversion of green areas into residential and industrial lands. The natural habitat of wildlife such as avifauna will be highly fragmented and even lost. This research was conducted in Sukmajaya District, which was the most densely populated sub-district in Depok City. Normalized Differences Vegetation Index (NDVI) can show the vegetation map of an area. Sukmajaya sub-district is dominated by residential areas, about 62.1 % of the total area of this sub-district is residential area and leaving only 21.2 % of the vegetated land fragmented by buildings as habitat for wildlife. Therefore, it is necessary to conduct research on how different landuse types affect avifauna species richness which is important as input for stakeholders in avifauna conservation efforts. The research was conducted by using point count method in a total of 37 observation points divided into residential areas, industrial areas, and vegetated lands. The results of this study indicated that the correlation between landuse and avifauna species richness can be explained by the characteristics of the landuse habitat. Using linear regression, all habitat characters, such as NDVI, total individual vegetation, number of vegetation types, canopy cover, human activity disturbance, and temperature can simultaneously predict the value of the Margalef species richness index. The number of vegetation types and canopy cover are the characters that most influence the avifauna species richness in this study.
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Singh, A. M., A. S. Chauhan, and D. Aggarwal. "Geospatial Techniques for Efficient Conservation and Management of Surface Water for Irrigation in Joganbedi Village, Khargone District, Madhya Pradesh, India." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-8 (November 28, 2014): 405–9. http://dx.doi.org/10.5194/isprsarchives-xl-8-405-2014.
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The study aimed at developing improved methods based on remote sensing and GIS techniques to increase cultivated area under irrigation. Landuse / landcover mapping was considered as the key component to prioritize locations for constructing appropriate recharge structures. Joganbedi scheme was proposed for this study. Joganbedi is situated 13 km. from Khargone, district Khargone, Madhya Pradesh, India. Command area of the proposed scheme lies in Beda sub-basin which is a tributary of the Narmada River. This area is of hard rock terrain and is occupied by the Deccan basalt. The main objective of the study was surface water conservation and management via multi-spectral information resulting from remotely sensed data to increase irrigation. High resolution GeoEye1 stereo images were used for generation of DEM, contour, landuse/landcover mapping, lineaments and drainage mapping. DEM was used for canal alignment. and further, contours were used to determine catchment, submergence /FRL, and command areas. Landuse/landcover statistics of submergence area helped to identify different land classes within the study area. These parameters are required for scheme planning. Additionally, rainfall data, maximum drawdown level, and dam height were collected as supporting parameters. The study concludes that landuse/landcover mapping is useful in identification of surface water conservation and management plan for irrigation purpose. It also proves that implementation of Joganbedi scheme will increase the cultivated area under irrigation, facilitate the farmers for multi season cropping and help in improving their economic condition.
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Itoh, Fumiko, and Akiko Murata. "Artificial Neural Network Model Estimating Landuse." Journal of the City Planning Institute of Japan 35 (2000): 1129–34. http://dx.doi.org/10.11361/journalcpij.35.1129.
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HOSHINO, Tatsuo. "Outside Landowner's Landuse and it's Change." JOURNAL OF RURAL PLANNING ASSOCIATION 15, no. 4 (1997): 32–41. http://dx.doi.org/10.2750/arp.15.4_32.
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Strozzi, T., P. B. G. Dammert, U. Wegmuller, J. M. Martinez, J. I. H. Askne, A. Beaudoin, and N. T. Hallikainen. "Landuse mapping with ERS SAR interferometry." IEEE Transactions on Geoscience and Remote Sensing 38, no. 2 (March 2000): 766–75. http://dx.doi.org/10.1109/36.842005.
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Pathak, R. C., and J. M. Kate. "Landuse mapping by air photo technique." Journal of the Indian Society of Remote Sensing 16, no. 2 (June 1988): 47–51. http://dx.doi.org/10.1007/bf03014306.
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Mohammed, Shaimaa Sarwar. "GIS-based Spatial Analysis of the Evolution of Residential Developments; A Case-study of Sulaimani city, Iraq." Kurdistan Journal of Applied Research 8, no. 2 (September 4, 2023): 8–28. http://dx.doi.org/10.24017/science.2023.2.2.
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This research is aimed at visualizing the historical evolution of residential landuse development of Sulaimani city based on GIS spatial analysis with the input of all of the relevant available data in various formats in order to determine the form of the city according to morphological classifications discussed in the literature of urban planning.
Essentially, following the collection of data, processing, review of relevant literature and applied methods, this study draws a timeline for the spatial evolution of the city of Sulaimani in addition to constricting a spatial grid for morphological comparison of different growth stages and analysis on multiple aspects. Moreover, a number of criteria were established to evaluate spatial patterns based on published theories in the field of landuse urban planning. These indicators were formulated in a questionnaire survey and determined the main aspects of the city through visualizing the process of historical evolution up to modern date.
Finally, the study presents transformations and addresses current issues, as well as recommends a number of possible solutions for residential landuse development in the city of Sulaimani.
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Tiwari, Neha, and Namita Joshi. "Carbon Management Index and Soil Organic Carbon pools of Different land use in Uttarakhand, Western Himalaya." Current World Environment 17, no. 3 (December 30, 2022): 585–91. http://dx.doi.org/10.12944/cwe.17.3.7.
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Himalayan soils are young, unstable and prone to erosion due to its terrain, climate responsive conditions and human activities. Thus, a research was conducted to assess the dynamics of total organic carbon, particulate organic carbon, labile and non-labile carbon, lability index and carbon management index among three distinct landuse at various soil depth in north himalayan region. Mixed forest have considerably more total organic carbon (43.0 g/kg), particulate organic carbon (5.45 g/kg) followed by agricultural total organic carbon (29.58 g/kg), particulate organic carbon (3.51 g/kg) and tea garden total organic carbon (21.96 g/kg), particulate organic carbon (2.42 g/kg). There is a greater accumulation of all the indices and carbon pools at the surface layer in all landuse system. Mixed forest have higher lability index (0.77) and carbon management index (67.76) value indicating better soil health and quality. Therefore mixed forest is considered as the best landuse system in mitigating climate change through carbon storage. This study provides key details for conservation framing and reducing land deterioration in mountainous regions.
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ARITA, Hiroyuki. "Evaluation method of landuse arrangement, for ordinary control of rural settlement landuse in the agricultural development region." JOURNAL OF RURAL PLANNING ASSOCIATION 8, no. 3 (1989): 9–19. http://dx.doi.org/10.2750/arp.8.3_9.
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Wulansari, Harvini. "Uji Akurasi Klasifikasi Penggunaan Lahan Dengan Menggunakan Metode Defuzzifikasi Maximum Likelihood Berbasis Citra Alos Avnir-2." BHUMI: Jurnal Agraria dan Pertanahan 3, no. 1 (July 17, 2017): 98. http://dx.doi.org/10.31292/jb.v3i1.233.
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Abstract :Information of landuse plays an important role in spatial planning and monitoring development in order to optimize the landuse data and to minimize land conflict. Remote sensing technology can be used to derive landcover information for landuse. The aim of this research was to study the accuracy level and how efficient the fuzzy logic is, with defuzzification method using maximum likelihood and its landuse map from classification result, using spectral data from ALOS AVNIR-2. The method used in this research was fuzzy logic approach with defuzzification method using maximum likelihood. Sample plots in area were used for modelling and accuracy assessment using stratified random sampling method. In overall, the research process worked well, although from the standpoint of accuracy and thoroughness resulted in overall kappa index was less good or less feasible, however, the results were still acceptable. The 14 landuse classes (57% overall accuracy and kappa index was 0,53). Time execution using maximum likelihood algorithm for about 10 seconds.Intisari : Informasi data penggunaan lahan sangat berperan penting diantaranya untuk melakukan perencanaan maupun pengawasan perkembangan suatu wilayah, sehingga penggunaan lahannya dapat dimanfaatkan secara optimal dan tetap menjaga kelestariannya, serta meminimalkan terjadinya konflik terhadap lahan. Teknologi penginderaan jauh merupakan salah satu cara yang dapat dimanfaatkan untuk menurunkan data penutup lahan sebelum akhirnya diterjemahkan menjadi informasi penggunaan lahan. Tujuan dari penelitian ini yaitu untuk mengetahui seberapa akurat dan efisien metode pendekatan berbasis logika samar ( fuzzy logic ) dengan defuzzifikasi menggunakan algoritma maximum likelihood serta peta hasil klasifikasi penggunaan lahannya, yang melibatkan input data spektral dari Citra ALOS AVNIR-2. Metode yang digunakan dalam penelitian ini yaitu metode pendekatan berbasis logika samar (fuzzy logic) dengan defuzzifikasi menggunakan algoritma maximum likelihood . Penentuan sampel untuk training area dan uji akurasi menggunakan metode plot area sedangkan pengambilan sampel menggunakan metode stratified random sampling. Secara keseluruhan proses penelitian berhasil dengan baik, walaupun dari sudut pandang ketelitian menghasilkan overall accuracy dan indeks kappa yang kurang baik atau kurang layak, namun demikian hasilnya masih dapat diterima.Untuk 14 kelas penggunaan lahan ( overall accuracy 57%, nilai indeks kappa 0,53). Hasil pencatatan waktu untuk proses eksekusi menggunakan algoritma maximum likelihood sekitar 10 detik. Kata kunci Kata kunci Kata kunci Kata kunci Kata kunci: klasifikasi penggunaan lahan, Citra ALOS AVNIR-2, logika samar, maximum likelihood .
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Ullah, Md Sofi, Tarulata Shapla, Md Amran Hossain, and Md Hasibul Hasan. "Delineating Agricultural Landuse Change using Geospatial Techniques and Markov Model in the Tarakanda Upazila of Mymensingh, Bangladesh and Future Prediction." Dhaka University Journal of Earth and Environmental Sciences 8, no. 1 (December 14, 2020): 19–31. http://dx.doi.org/10.3329/dujees.v8i1.50756.
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The study aims at detecting agricultural landuse change and its prediction by using the Markov model in Tarakanda Upazila of Mymensingh District during 1989-2018 which is one of the most fish farming dominated areas of Bangladesh. Therefore, agricultural landuse is converted to the fish farming sector as well as other sectors. In such a situation the study intends at identifying agricultural landuse shifting to various sectors from 1989 to 2018 and predicting it for the year of 2026 as a future vector of the Markov model. The study was conducted using multispectral data from Landsat imageries. The imageries for the years of 1989, 2000, 2010 and 2018 were collected from Landsat 4-5TM and Landsat 8 OLI-TRIS. Maximum likelihood classification and supervised classification were applied to detect landcovers of the study area. The study showed that in 1989, there was 58.55% of agricultural land, but it stood at 46.65% in 2018. About 11.9% of agricultural land has also decreased during 1989-2018. Therefore, yearly about 0.4% of agricultural land has decreased from 1989 to 2018. The predicted data shows that about 2.96% of agricultural land will be decreased from 2018-2026, hence, about 0.37% of agricultural land will be decreased in the near future in the study area. As a fish farming dominated area, the water body of the Tarakanda Upazila has increased by about 0.18% per year, similarly, other sectors have decreased at 0.21 percent per year. Therefore the landuse change dynamics should be considered seriously for future planning.
The Dhaka University Journal of Earth and Environmental Sciences, Vol. 8(1), 2019, P 19-31
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Olanrewaju, Samson, and Musibau Jelili. "LANDUSE CHARACTERISTICS OF AUTOMOBILE WORKSHOPS IN LAGOS METROPOLIS, NIGERIA." Journal of African Development Studies 10, no. 1 (June 30, 2023): 5–13. http://dx.doi.org/10.56302/jads.v10i1.8355.
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This paper evaluates the landuse characteristics of automobile workshops in Lagos Metropolis with a view to proffering recommendations that will aid the control of automobile workshops in the study area and similar urban centres in the country. To achieve this, a total survey of the formal workshops in the metropolis was done, while 389 informal workshops located on both sides of purposively selected roads in the metropolis were sampled. Further, a 300-meter radius was delineated around each sampled automobile workshop for landuse characterization. Percentages, Analysis of variance, and query function of the Geographic Information System were used to investigate the landuse characteristics of the automobile workshops. The study discovered that automobile workshops in Lagos metropolis are located in dense residential areas, though formal automobile workshops tend to locate in denser neigbhourhoods than informal ones. These workshops are situated on an average area of 6636 square meters with about 70% of the land area developed. However, workshops do not comply with spatial planning standards, especially road setbacks. It is therefore recommended that mass awareness and effective development control be put in place by officials of Lagos State Ministry of Physical Planning and Urban Development.
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Kuldeep and P. K. Garg. "THE ROLE OF SATELLITE DERIVED DATA FOR FLOOD INUNDATION MAPPING USING GIS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-3/W3 (August 19, 2015): 235–39. http://dx.doi.org/10.5194/isprsarchives-xl-3-w3-235-2015.
Full textAbstract:
River flooding in planar region is the most significant type of natural disaster that modern society is exposed to, affecting several thousand people each year. Recent flood events, population growth concerns have augmented the call for global methods which utilise both spatial and temporal dynamics. Object oriented classification approaches based on the segmentation are being adopted for extraction of variety of thematic information from high resolution satellite images. Generation of landuse/cover map which is one of the important inputs to the model for flood inundation mapping and for accurate assessment of damage due to floods requires advanced methods of image classification. The Cartosat-1 (PAN) satellite data has been fused with the LISS-III (MX) to obtain the color image containing both high spatial and spectral information. The fused image is further classified to obtain the landuse/cover map using object based classification approach. The classification results are assessed by calculating overall accuracy and kappa index with the help of error matrix. The overall accuracy of classification has been obtained 86.00% with kappa index 0.7815. The objective of this study is to develop a GIS aided model for flood inundation mapping of the surrounding of the part of the Yamuna River which flows through the two districts i.e. Yamuna Nagar and Saharanpur in states of Haryana and Uttar Pradesh respectively. The model considers the five parameters viz. topography (slope, elevation) information, landuse/cover, time series data of surface water elevation, river geometry and location of the rain gauge station. Field survey has been conducted to validate the positional accuracy of the DEM and landuse/cover classes using DGPS. A final flood inundation map has been prepared by combining all weighted layers with in GIS environment. The flood inundation maps can further be used for quick identification of areas of potential flood hazard to minimize the flood losses.