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Статті в журналах з теми "GIS Techniques/Remote Sensing"

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Автор: Grafiati

Опубліковано: 7 вересня 2023

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1

S J, Dr Naresh Kumar. "Mapping of Vector Borne Diseases using GIS and Remote Sensing Techniques." JOURNAL OF CLINICAL AND BIOMEDICAL SCIENCES 06, no. 1 (March 15, 2016): 39. http://dx.doi.org/10.58739/jcbs/v06i1.9.

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Vector-borne diseases accounts for more than 17% of all infectious diseases in the world causing more than 1 million deaths annually. Around 2.5 billion people in over 100 countries are at a risk of contracting dengue alone. Ma-laria causes more than 4 lakh deaths every year globally and most of in them children of under 5 years. Around 13,000 cases of malaria are being reported annually in Karnataka state for the past few years. Kolar is declared by NVBDCP as one among the 13 malaria endemic districts in Karnataka state

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2

M. Abdulhameed AL Bayati, Muthanna. "Desertification Monitoring Using Remote Sensing and GIS Techniques." Iraqi Journal of Civil Engineering 11, no. 1 (March 1, 2017): 45–52. http://dx.doi.org/10.37650/ijce.2017.133751.

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3

Mohamed El-Sayed Embaby. "Assessing urban sprawl by remote sensing and GIS techniques." Global Journal of Engineering and Technology Advances 7, no. 3 (June 30, 2021): 144–56. http://dx.doi.org/10.30574/gjeta.2021.7.3.0088.

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In the context of mega sustainable urban development projects, this research was commenced with the impartial of assessing urban sprawl (i.e., land use versus land cover variations) during 2000-2016 by remote sensing and GIS techniques, where GCR “Greater Cairo Region” was taken as a case study. Primarily, literature in the field of remote sensing and GIS technologies were assembled and scrutinized. In addition, data regarding build zones, agricultural areas and bare soil regions so as water were assembled from different resources (i.e., Ministry of Agriculture). Remote sensing and GIS techniques were implemented. Results were obtained and analyzed. Finally, conclusions were deduced and recommendations were suggested. The research flagged-out that the GCR designated a drastic agriculture land loss of 10%. In addition, the research confirmed that built-up areas increased by 10% during 2000-2016. On the other hand, the results indicated that Giza and Qalyubia Governorates recorded the largest agriculture land loss by 8.72 and 7.88%, respectively, which is equivalent to 47 and 77 km2, respectively. The research prioritized the importance of defining the most affected zones within Giza and Qalyubia Governorates by correlating GIS data versus governmental files, where a difference of 50% was designated. The research portrayed the priority of modifying the government assessment approach in order to control urban sprawl.

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4

Gandhi, S. Indhira, and Dr V. Madha Suresh. "Prediction of Urban Sprawl in Hyderabad City using Spatial Model, Remote Sensing and GIS Techniques." International Journal of Scientific Research 1, no. 2 (June 1, 2012): 80–81. http://dx.doi.org/10.15373/22778179/jul2012/25.

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5

Belal, Abdel-Aziz, Hassan R. El-Ramady, Elsayed S. Mohamed, and Ahmed M. Saleh. "Drought risk assessment using remote sensing and GIS techniques." Arabian Journal of Geosciences 7, no. 1 (October 30, 2012): 35–53. http://dx.doi.org/10.1007/s12517-012-0707-2.

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6

Shinde, S. P., V. N. Barai, R. D. Bansod, A. A. Atre, B. K. Gavit, and S. A. Kadam. "A review on Water Resource Planning and Management with Special Reference to Groundwater using Remote Sensing and GIS Techniques." International Journal of Economic Plants 10, May, 2 (May 15, 2023): 083–91. http://dx.doi.org/10.23910/2/2022.0516b.

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Water is one of the most important natural resources and a physiological necessity to humankind. Freshwater is one of the necessities for the sustenance of life. The use and development of water resources in a sustainable manner is essential in the modern age due to the regular increase in water crises. Remote sensing and GIS techniques are powerful tools for analyzing and manipulating water resource development and management data. GIS technology provides suitable alternatives for the efficient management of large and complex databases. The most significant advantage of using Remote Sensing data for hydrological modeling and monitoring is its ability to generate information in the spatial and temporal domain. Remote sensing and GIS techniques are found efficient to minimize the time, labor, and money and make quick decisions for Sustainable water resources management. Remotely sensed data are most valuable when combined with numerical modeling, geographic information systems, and ground-based information. In short, both these techniques play a significant role in hydrology for water resources development and management. The remote sensing data helps in fairly accurate hydro geomorphological analysis and identification and delineation of land features. The review paper highlights Remote Sensing and GIS techniques and presents a brief review on the application of these two emerging techniques for groundwater resource management and development. Thus, surface investigation of groundwater has proved to be more accessible, time consistent, and cheaper using geomatics technologies.

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7

Karia, Jessica, and G. Kiran. "Forest management plan inputs using RS-GIS Techniques." Indian Journal of Forestry 29, no. 3 (September 1, 2006): 239–44. http://dx.doi.org/10.54207/bsmps1000-2006-40n5st.

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The scientific management plan for the forests of Sajwa round of Vadodara District was prepared using Remote Sensing and Geographical Information System (GIS) technique. This study was undertaken to evaluate the present management plan and suggest changes for better management of the forests. Suggestions were made based on IRS 1C, 1999 satellite data and the field data collected from forests. According to the analysis, the status of the forests was found degraded. Therefore, most of the forest patches from the round may be included in the afforestation working circle for better management. Also, the effectiveness of Remote Sensing data compared with conventional method in the forest cover monitoring was assessed and presented.

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8

Donia, N. S., and H. Farag. "MONITORING OF EGYPTIAN COASTAL LAKES USING REMOTE SENSING TECHNIQUES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W13 (June 4, 2019): 693–99. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w13-693-2019.

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<p><strong>Abstract.</strong> The Northern Lakes play a significant role in Egyptian economy for fish production in Egypt. Until 1991, these Lakes have always contributed more than 40% of the country's total fish production, but at present this has decreased to less than 12.22% as they serve as reservoirs for drainage waters, which contaminated with anthropogenic materials. Since Remote sensing and GIS are suitable and valuable techniques to identify the rate of land reclamation of the coastal lakes over the last three decades. This was undertaken using different kinds of imagery to employ historical remotely sensed data to reveal the long-term changes in the physical characteristics of the lagoon. This paper explains how remote sensing coupled with GIS can be used for lake monitoring applied on some Egyptian coastal lakes as example.</p>

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9

Yang, Shu Rong, and Yi Lung Yeh. "Geologic Hazard Assessment of Slopeland Villages Using Remote Sensing Techniques." Applied Mechanics and Materials 764-765 (May 2015): 1095–99. http://dx.doi.org/10.4028/www.scientific.net/amm.764-765.1095.

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This study focuses on 53 villages located in the slopelands of Pingtung County. Remote sensing image interpretation techniques are used to identify geologic hazard areas. GIS map overlay analysis of environmental geologic maps, landslide susceptibility maps and potential debris flow torrent maps provided by local and regional governments are used to further interpret and correctly identify the extent of the geologic hazard zone. This study successfully combines both GIS and GPS techniques, and according to data analysis results, constructs a slopeland village geologic hazard assessment method.

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10

Krishnaveni, K. S., and P. P. Anilkumar. "MANAGING URBAN SPRAWL USING REMOTE SENSING AND GIS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W11 (February 14, 2020): 59–66. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w11-59-2020.

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Abstract. Indian cities, like several other developing cities around the world, are urbanizing at an alarming rate. This unprecedented and uncontrolled urbanization may result in urban sprawl, which is characterized by low-density impervious surfaces, often clumsy, extends along the fringes of metropolitan areas with unbelievable pace, disperse, auto-dependent with environmentally and socially impacting characteristics. The ill-effects of urban sprawl in developing countries scenario is a bit complicated compared to that of developed countries because of uncontrolled population growth and haphazard urbanization. This paper attempts to investigate the capabilities of remote sensing and GIS techniques in understanding the urban sprawl phenomenon in a better way compared to time- consuming conventional methods. An overview of the enormous potential of remote sensing and GIS techniques in mapping and monitoring the Spatio-temporal patterns urban sprawl is dealt with here. The spatial pattern and dynamics of the urban sprawl of Kozhikode Metropolitan Area (KMA, Kerala, India) during the period from 1991 to 2018 using the integrated approach of remote sensing and GIS are attempted here. Index derived Built-up Index (IDBI) which is a thematic index-based index (combination of Normalized Difference Built-up Index (NDBI), Modified Normalized Difference Water Index (MNDWI) and Soil Adjusted Vegetation Index (SAVI)) is used for the rapid and automated extraction of built-up features from the time series satellite imageries. The extracted built-up areas of each year are then used for Shannon’s entropy calculations, which is a method for the quantification of urban sprawl. The results of IDBI and Shannon’s entropy analysis highlight the fact that there occurs an alarming increase in the built-up areal extent from 1991 to 2018. The urban planning authorities can make use of these techniques of built-up area extraction and urban sprawl analysis for effective city planning and sprawl control.

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11

Amin, Arshad, and Shahab Fazal. "Quantification of Land Transformation Using Remote Sensing and GIS Techniques." American Journal of Geographic Information System 1, no. 2 (August 31, 2012): 17–28. http://dx.doi.org/10.5923/j.ajgis.20120102.01.

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12

Farjana Birajdar, Mustaq Shaikh,. "Analysis of Watershed Characteristics Using Remote Sensing and GIS Techniques." International Journal of Innovative Research in Science, Engineering and Technology 04, no. 04 (April 15, 2015): 1971–76. http://dx.doi.org/10.15680/ijirset.2015.0404023.

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13

Zavala, Patricio, and Emilio Chuvieco. "Analysis of seismic vulnerability using remote sensing and GIS techniques." International Journal of Emergency Management 1, no. 4 (2003): 319. http://dx.doi.org/10.1504/ijem.2003.004355.

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14

Huber, Thomas P. "Integrated Remote Sensing and GIS Techniques for Elk Habitat Management." Journal of Environmental Systems 22, no. 4 (January 1, 1992): 325–39. http://dx.doi.org/10.2190/ayqn-f963-ljnk-9grj.

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15

Langat, Philip Kibet, Lalit Kumar, and Richard Koech. "Monitoring river channel dynamics using remote sensing and GIS techniques." Geomorphology 325 (January 2019): 92–102. http://dx.doi.org/10.1016/j.geomorph.2018.10.007.

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16

Ab. Talib, Jasmi, and Azlikamil Napiah. "Landslide hazard zonation mapping using remote sensing and GIS techniques." Bulletin of the Geological Society of Malaysia 44 (July 1, 2000): 101–7. http://dx.doi.org/10.7186/bgsm44200013.

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17

Oo, Myint Myat, Cho Cho Thin Kyi, and Win Win Zin. "Historical Morphodynamics Assessment in Bridge Areas using Remote Sensing and GIS Techniques." Civil Engineering Journal 5, no. 11 (November 1, 2019): 2515–24. http://dx.doi.org/10.28991/cej-2019-03091429.

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Currently the Ministry of Construction is responsible for planning and construction of bridges across the country but remote sensing and satellite data are not widely used in the Ministry’s routine process. Although the inspection and monitoring are carried out by the conventional methods, the remote sensing and GIS techniques are available as an alternative way with time and cost saving. From this study, the channel migration in the locations of Ayeyarwady bridges will be analyzed and mapped by identifying temporal changes of channels. Google Earth Engine is used as the primary application in this study and surface water extraction from historical Landsat satellite imagery is done by GEE. River centerline processing and erosion-deposition area identifications are carried out by GIS technique. Study period of each bridge is between 1987 and 2017. Bo Myat Tun Bridge and Ayeyarwady Bridge (Pakokku) are toped in the list with highest migration and erosion-deposition rate according to the study. The goal of this study is to assist the bridge inspections and channel monitoring works by means of remote sensing and GIS techniques which are currently undertaking by Ministry of Construction with conventional techniques.

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18

M. Al-Ismaili, Abdulrahim. "GIS and remote sensing techniques in Controlled Environment Agriculture: A review." Journal of Agricultural and Marine Sciences [JAMS] 26, no. 2 (April 28, 2021): 10–23. http://dx.doi.org/10.53541/jams.vol26iss2pp10-23.

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Geographic Information System (GIS) and Remote Sensing (RS) are useful tools in environmental monitoring, evaluation and analysis for various sectors including agriculture. This paper reviews the applications of GIS, RS and the integration of both techniques in the agricultural field, in general, and Controlled Environment Agriculture (CEA), in particular. More emphasis is given to their applications in arid areas and Oman is taken as a case study. GIS techniques have been used in the mapping of soil and water quality, spatial assessment for water quantity stress, land suitability, pest and disease distribution of crops as well as delineating and generating database management systems (DBMS) for protected cultivations. In Oman, GIS was only employed to analyse the spatio-temporal dynamics of land use changes as affected by external factors and greenhouses as an example in northern part. RS was also utilised to map the changes in land cover and their uses, detect and map soil salinity, and monitor agricultural droughts. In CEA, RS was utilised for mapping, detection and classification of greenhouses through aerial images and satellites. In Oman, negligible study was documented on the use of RS techniques in the CEA field. The integration of both techniques has proven its capability in mapping, evaluating and managing natural resources and greenhouse distribution and generating database management system in agriculture and CEA fields. Sophisticated geostatistical analysis models based on Multi-criteria analysis using Fuzzy-logic and Analytic Hierarchy Process could be a good platform for trade-off analysis for land suitability analysis and optimal location of CEA in challenging agriculture like Oman.

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19

Nastasi, Benedetto, and Meysam Majidi Nezhad. "GIS and Remote Sensing for Renewable Energy Assessment and Maps." Energies 15, no. 1 (December 21, 2021): 14. http://dx.doi.org/10.3390/en15010014.

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20

Xing, B., J. Li, H. Zhu, P. Wei, and Y. Zhao. "CONSTRUCTION OF GREEN TIDE MONITORING SYSTEM AND RESEARCH ON ITS KEY TECHNIQUES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3 (April 30, 2018): 1963–70. http://dx.doi.org/10.5194/isprs-archives-xlii-3-1963-2018.

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As a kind of marine natural disaster, Green Tide has been appearing every year along the Qingdao Coast, bringing great loss to this region, since the large-scale bloom in 2008. Therefore, it is of great value to obtain the real time dynamic information about green tide distribution. In this study, methods of optical remote sensing and microwave remote sensing are employed in Green Tide Monitoring Research. A specific remote sensing data processing flow and a green tide information extraction algorithm are designed, according to the optical and microwave data of different characteristics. In the aspect of green tide spatial distribution information extraction, an automatic extraction algorithm of green tide distribution boundaries is designed based on the principle of mathematical morphology dilation/erosion. And key issues in information extraction, including the division of green tide regions, the obtaining of basic distributions, the limitation of distribution boundary, and the elimination of islands, have been solved. The automatic generation of green tide distribution boundaries from the results of remote sensing information extraction is realized. Finally, a green tide monitoring system is built based on IDL/GIS secondary development in the integrated environment of RS and GIS, achieving the integration of RS monitoring and information extraction.

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21

Sondarva, K. N., P. S. Jayswal, and J. Dhodia. "Morphometric analysis of shel dedumal watershed using remote sensing remote sensing and GIS." INTERNATIONAL JOURNAL OF AGRICULTURAL SCIENCES 19, no. 1 (January 15, 2023): 193–99. http://dx.doi.org/10.15740/has/ijas/19.1/193-199.

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Morphometric analysis is the measurements and mathematical analysis of the land surface configuration, shape and dimension of the landforms. The efficiency of the drainage network is very important for understanding the processes of landform formation, soil physical properties and erosion characteristics. The present study is focused on the evaluation of morphometric parameters for conversation of soil and water on delineated in the basin. Furthermore, morphometric analysis of watershed using geospatial data and GIS techniques and slope analysis were also utilized to propose the suitable soil and water conservation measures in the basin. The results obtained in the analysis revealed that the Shel Dedumal basin tributaries is an 5th order drainage basin which describe that the texture is homogeneous or homogeneity still exist and lack of structural control in soil strata. The relief ratio (R h ), the elevation difference (R h or H) and circularity ratio (R c ) was found to be 10.73, 222.0 and 0.42, respectively which represents the basin having moderate relief and gentle to moderately high slope. Some areas of the basin are characterized by variation in Lithology and topography. The mean values of bifurcation ratio (R b) observed as 4.52 and circularity ratio (R c ) observed as 0.42 of the entire basins shows a moderate but not strong structural control or structural disturbances. An extreme high value of ruggedness number (R n ) observed as 11.83 which indicate the structural complexity of the terrain. The Moderate drainage density (D d ) and circularity ratio (R c ) was observed as 2.63 and 0.42, respectively which indicates the basin is highly permeable subsoil and vegetative cover. The form factor (F f ), the elongation ratio (R e ) and circularity ratio (R c ) was observed as 0.39, 0.71 and 0.42 respectively which is indicating elongated basin with lower / flatter peak flows of longer duration than the average and also the elongation ratio (R e ) values indicating moderate to slightly steep ground slope in basin which is indicating possibility for soil erosion and other soil and water conservation works.

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22

Jung, Hyung-Sup, and Saro Lee. "Remote Sensing and Geoscience Information Systems Applied to Groundwater Research." Remote Sensing 13, no. 11 (May 26, 2021): 2086. http://dx.doi.org/10.3390/rs13112086.

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23

Avtar, Sahu, Aggarwal, Chakraborty, Kharrazi, Yunus, Dou, and Kurniawan. "Exploring Renewable Energy Resources Using Remote Sensing and GIS—A Review." Resources 8, no. 3 (August 19, 2019): 149. http://dx.doi.org/10.3390/resources8030149.

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Renewable energy has received noteworthy attention during the last few decades. This is partly due to the fact that fossil fuels are depleting and the need for energy is soaring because of the growing population of the world. This paper attempts to provide an idea of what is being done by researchers in remote sensing and geographical information system (GIS) field for exploring the renewable energy resources in order to get to a more sustainable future. Several studies related to renewable energy resources viz. geothermal energy, wind energy, hydropower, biomass, and solar energy, have been considered in this paper. The focus of this review paper is on exploring how remote sensing and GIS-based techniques have been beneficial in exploring optimal locations for renewable energy resources. Several case studies from different parts of the world which use such techniques in exploring renewable energy resource sites of different kinds have also been included in this paper. Though each of the remote sensing and GIS techniques used for exploration of renewable energy resources seems to efficiently sell itself in being the most effective among others, it is important to keep in mind that in actuality, a combination of different techniques is more efficient for the task. Throughout the paper, many issues relating to the use of remote sensing and GIS for renewable energy are examined from both current and future perspectives and potential solutions are suggested. The authors believe that the conclusions and recommendations drawn from the case studies and the literature reviewed in the present study will be valuable to renewable energy scientists and policymakers.

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24

Sun, Siqiu, and Tianbo Xiong. "Application of Remote Sensing Technology in Sustainable Urban Planning and Development." Applied and Computational Engineering 3, no. 1 (May 25, 2023): 283–88. http://dx.doi.org/10.54254/2755-2721/3/20230475.

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Urban planning is super vital for cities. Good planning for the city would provide more convenience and benefits to citizens through economic effects, beautiful scenery and so on. This study analyses the application of remote sensing technologies in urban landscaping planning, transportation, and environmental protection. The combination of remote sensing and GIS technologies makes urban landscaping planning more accessible in urban landscaping planning. Usually, remote sensing provides satellite images, while the GIS processes the image and compares the target region for analysis. The combination method could predict urban green spaces. In urban transportation planning, remote sensing technology could combine with Artificial intelligence smart video technology to protect peoples safety in transportation, such as observing traffic violations by capturing videos or images and protecting traffic safety. In environmental protection, remote sensing could monitor the area change of wetlands and solve the natural disasters around the city. Different approaches have their benefits and disadvantages, and thus making urban plans by combining various techniques is essential.

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Lee, Sunmin, Sung-Hwan Park, Moung-Jin Lee, and Taejung Song. "Priority Analysis of Remote Sensing and Geospatial Information Techniques to Water-Related Disaster Damage Reduction for Inter-Korean Cooperation." Journal of Sensors 2020 (July 17, 2020): 1–10. http://dx.doi.org/10.1155/2020/8878888.

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The social and economic harm to North Korea caused by water-related disasters is increasing with the increase in the disasters worldwide. Despite the improvement of inter-Korean relations in recent years, the issue of water-related disasters, which can directly affect the lives of people, has not been discussed. With consideration of inter-Korean relations, a government-wide technical plan should be established to reduce the damage caused by water-related disasters. Therefore, the purpose of this study was to identify remote sensing and GIS techniques that could be useful in reducing the damage caused by water-related disasters while considering inter-Korean relations and the disasters that occur in North Korea. To this end, based on the definitions of disasters in South and North Korea, water-related disasters that occurred during a 17-year period from 2001 to 2017 in North Korea were first summarized and reclassified into six types: typhoons, downpours, floods, landslides, heavy snowfalls, and droughts. In addition, remote sensing- and GIS-based techniques in South Korea that could be applied to water-related disasters in North Korea were investigated and reclassified according to applicability to the six disaster types. The results showed that remote sensing and other monitoring techniques using spatial information, GIS-based database construction, and integrated water-related disaster management have high priorities. Especially, the use of radar images, such as C band images, has proven essential. Moreover, case studies were analyzed within remote sensing- and GIS-based techniques that could be applicable to the water-related disasters that occur frequently in North Korea. Water disaster satellites with high-resolution C band synthetic aperture radar are scheduled to be launched by South Korea. These results provide basic data to support techniques and establish countermeasures to reduce the damage from water-related disasters in North Korea in the medium to long term.

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Lubis, Muhammad Zainuddin, Oktavianto Gustin, Wenang Anurogo, Husnul Kausarian, Kasih Anggraini, and Aditya Hanafi. "PENERAPAN TEKNOLOGI PENGIDERAAN JAUH DI BIDANG PESISIR DAN LAUTAN." OSEANA 42, no. 3 (October 30, 2017): 56–64. http://dx.doi.org/10.14203/oseana.2017.vol.42no.3.85.

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APPLICATIONS OF REMOTE SENSING TECHNOLOGY IN COASTAL AND OCEAN Many remote sensing applications are devoted to the coastal and ocean sector. Representative case studies are presented in the special issue “Advances in Remote Sensing of coastal and ocean”. Remote sensing techniques represent a powerful tool for landslide investigation: applications are traditionally sea surface temperature, marine habitat into three main classes, although this subdivision has some limitations and borders are sometimes fuzzy in coastal and ocean. Remote sensing combined with geographic information system (GIS) can be used as a technology tool to obtain information about the object quickly and accurately, including objects in coastal and ocean areas. Remote sensing data on coastal and marine areas specifically for the region in Indonesia have been widely practiced. The use of remote sensing data and GIS in coastal and marine areas can be used to determine sea surface temperature, determination of fish catchment area, and coastline morphological changes by adding other influential parameters. It can also be used to monitor a regional change by using multi-temporal recording data such as disaster monitoring, monitoring of land cover changes in coastal areas etc. Remote sensing data essentially can be used as an alternative technology in obtaining information at a cheaper cost when compared with the conventional way.

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27

Meshref, H. A., T. K. Ghabour, Fatma Ghali, M. M. Wahba, and Sahar Shahin. "SOIL MAPPING WITH THE AID OF REMOTE SENSING TECHNIQUES AND GIS." Journal of Soil Sciences and Agricultural Engineering 33, no. 8 (August 1, 2008): 6191–201. http://dx.doi.org/10.21608/jssae.2008.200218.

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28

Mohamed Ali, maii, Essam Fawa, and Mostafa Mohamed. "IMPACT OF FLOODING ON AIRPORTS USING REMOTE SENSING AND GIS TECHNIQUES." Journal of Al-Azhar University Engineering Sector 16, no. 60 (July 1, 2021): 606–25. http://dx.doi.org/10.21608/auej.2021.187942.

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29

Agyemang, T. K., K. Schmieder, T. Heege, J. Heblinski, H. Sajadyan, L. Vardanyan, and R. Böcker. "Reviewing Lake Sevan's surface area using remote sensing & GIS techniques." SIL Proceedings, 1922-2010 30, no. 8 (January 2009): 1264–66. http://dx.doi.org/10.1080/03680770.2009.11923926.

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30

Elnaggar, A. A., Kh H. El-Hamdi, A. B. A. Belal, and M. M. El-Kafrawy. "SOIL CLASSIFICATION OF BAHARIYA OASIS USING REMOTE SENSING AND GIS TECHNIQUES." Journal of Soil Sciences and Agricultural Engineering 4, no. 9 (September 1, 2013): 921–47. http://dx.doi.org/10.21608/jssae.2013.52488.

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31

R. Azeez, Dalshad. "remote sensing ,GIS techniques ,survey ,studying land, cover, changes ,Kirkuk governorate." Kirkuk University Journal-Scientific Studies 5, no. 1 (June 28, 2010): 92–100. http://dx.doi.org/10.32894/kujss.2010.41132.

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32

Zhuang, Dafang, Yangrong Ling, and Awaya Yoshio. "Integrated vegetation classification and mapping using remote sensing and GIS techniques." Chinese Geographical Science 9, no. 1 (March 1999): 49–56. http://dx.doi.org/10.1007/s11769-999-0020-5.

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33

Saud Mohammed, Ahmed. "Study of Soil Chemical Characteristic by Remote Sensing and GIS Techniques." Anbar Journal of Engineering Sciences 4, no. 1 (May 1, 2011): 87–106. http://dx.doi.org/10.37649/aengs.2011.14262.

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34

Talpur, Zenobia, Arjumand Z. Zaidi, Suhail Ahmed, Tarekegn Dejen Mengistu, Si-Jung Choi, and Il-Moon Chung. "Estimation of Crop Water Productivity Using GIS and Remote Sensing Techniques." Sustainability 15, no. 14 (July 17, 2023): 11154. http://dx.doi.org/10.3390/su151411154.

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The global demand for food is growing with the population and urbanization, which puts pressure on water resources, which need assessing and quantifying water requirements. Adopting efficient irrigation methods to optimize water use is essential in this situation. In this study, crop water productivity (CWP) of major crops in the Rohri canal command area was estimated by the ratio of yield and actual evapotranspiration (ETa). Analyzing the CWP of major crops, water scarcity challenges can be tackled by selecting the most feasible irrigation methods. However, ETa was calculated and aggregated for all four stages of the crop growth period: initial, crop development, flowering stage, and maturity seasons. The crop yield data were obtained from the districts’ agricultural statistics. For this purpose, evapotranspiration products of Landsat 5 and 8 were downloaded from Earth Engine Evapotranspiration Flux (EEFlux). Landsat images were processed in a GIS environment to calculate ETa. The approach suggests developing a CWP database for major crops like wheat, cotton, and rice to improve irrigation water management. The objectives of this study are to estimate and analyze the difference in the CWP and evapotranspiration of major crops for the Rabi and Kharif seasons with high and moderate flows during 1998–2019. It comprises nine districts of Sindh that come under the Rohri Canal command area. To analyze the difference in CWP between the Rabi and Kharif seasons for all study crops of the seasons of Rabi (2014–2015 and 2016–2017) and Kharif (1998 and 2017). The growing periods for wheat, cotton, and rice in the Rohri Canal command area are 160, 195, and 180 days, respectively. The estimated ETa of the Rohri canal command area and CWP were in good agreement with the literature-reported values. Hence, enhanced agricultural productivity can be achieved by making considerable investments to improve agricultural research and extension systems.

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M.Mohammed Saied, Fathi, and Adil M. A. Elsinnari. "Using Remote Sensing and GIS Techniques for Quick Estimation of the Population Growth in Khartoum State." FES Journal of Engineering Sciences 3, no. 1 (November 6, 2008): 13. http://dx.doi.org/10.52981/fjes.v3i1.79.

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Satellite imagery acquired by IKONOS imaging system in 2003 and the analog map of the study area at scale 1:25000 (1984) have been used to estimate the population growth taken place in Halfaya Town. Remote sensing, digital image processing and GIS techniques were used to achieve the objectives of this study. Different procedures such as, image restoration, image enhancement, topology, spatial analysis and overlay have been applied to model the urban growth in the study area between the year 1984 and the year 2003 .Based on the developed GIS model of the study area the estimated population growth rate was found to be 233%. The study proved that integrated remote sensing and GIS techniques have great impact on detecting environmental changes and man-made features variations through time.

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Shafaie, M., H. Ghodosi, and K. H. Mostofi. "RIVER SEDIMENT MONITORING USING REMOTE SENSING AND GIS (CASE STUDY KARAJ WATERSHED)." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1-W5 (December 11, 2015): 675–80. http://dx.doi.org/10.5194/isprsarchives-xl-1-w5-675-2015.

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Whereas the tank volume and dehydrating digits from kinds of tanks are depended on repository sludge, so calculating the sediments is so important in tank planning and hydraulic structures. We are worry a lot about soil erosion in the basin area leading to deposit in rivers and lakes. It holds two reasons: firstly, because the surface soil of drainage would lose its fertility and secondly, the capacity of the tank decreases also it causes the decrease of water quality in downstream. Several studies have shown that we can estimate the rate of suspension sediments through remote sensing techniques. Whereas using remote sensing methods in contrast to the traditional and current techniques is faster and more accurate then they can be used as the effective techniques. The intent of this study has already been to estimate the rate of sediments in Karaj watershed through remote sensing and satellite images then comparing the gained results to the sediments data to use them in gauge-hydraulic station. We mean to recognize the remote sensing methods in calculating sediment and use them to determine the rate of river sediments so that identifying their accuracies. According to the results gained of the shown relations at this article, the amount of annual suspended sedimentary in KARAJ watershed have been 320490 Tones and in hydrologic method is about 350764 Tones .

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Jung, Hyung-Sup, and Saro Lee. "Special Issue on Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing." Applied Sciences 9, no. 12 (June 14, 2019): 2446. http://dx.doi.org/10.3390/app9122446.

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As computer and space technologies have been developed, geoscience information systems (GIS) and remote sensing (RS) technologies, which deal with the geospatial information, have been maturing rapidly [...]

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38

Khan, Sikander Nawaz. "Integration of GIS with Remote Sensing and GPS for Disaster Mitigation." Journal of Disaster Research 10, no. 2 (April 1, 2015): 225–30. http://dx.doi.org/10.20965/jdr.2015.p0225.

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Natural disasters like flood, earthquake, cyclone, volcanic eruption and others are causing immense losses to the property and lives every year. Current status and actual loss information on natural hazards can be determined and also prediction for next probable disasters can be made using different remote sensing and mapping technologies. Global Positioning System (GPS) calculates the exact position of damage. It can also communicate with wireless sensor nodes embedded in potentially dangerous places. GPS provides precise and accurate locations and other related information like speed, track, direction and distance of target objects to emergency responders.Remote Sensing facilitates to map damages without having physical contact with target area. Now with the addition of more remote sensing satellites and other advancements, early warning system is used very efficiently. Remote sensing is being used both at local and global scale. High Resolution Satellite Imagery (HRSI), airborne remote sensing and space-borne remote sensing is playing a vital role in disaster management.Early in Geographic Information System (GIS) was used to collect, arrange, and map the spatial information, but now it has the capability to analyze spatial data. This analytical ability of GIS is the main cause of its adoption by different emergency service providers like the police and ambulance service.The full potential of these so called 3S technologies cannot be used alone. Integration of GPS and other remote sensing techniques with GIS has pointed new horizons in modeling of earth science activities. Many remote sensing cases, including Asian Ocean Tsunami in 2004, Mount Mangart landslides and Pakistan-India earthquake in 2005 are described in this paper.

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39

Mendoza, Manuel, Gerardo Bocco, and Miguel Bravo. "Spatial prediction in hydrology: status and implications in the estimation of hydrological processes for applied research." Progress in Physical Geography: Earth and Environment 26, no. 3 (September 2002): 319–38. http://dx.doi.org/10.1191/0309133302pp335ra.

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Based on a review of research, the linkages between distributed hydrological modelling (DHM) remote sensing (RS) and geographical information system (GIS) techniques, coupled with geomorphological knowledge are discussed. While presenting characteristics of the models, techniques, and supporting analytical tools of geographical hydrology, the emphasis is on the estimation of hydrological variables. The first is limited to the spatialization and integration of low resolution meteorological data with hydrological models in a GIS environment. The second includes research in the calculation of precipitation, evapotranspiration, radiation, etc., from the digital analyses of remote sensing data, to feed either lumped or spatially distributed models. The third links the tools of GIS and RS with hydrological modelling; usually it makes intensive use of the tools of GIS for several scales of spatial modelling. The last group integrates GIS, RS and hydrological modelling supported by the delimitation and characterization of environmental units, generally to detailed and semi-detailed scales.

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40

Goitsemang, Thabile, and Ch Rajendra Subudhi. "GEOMORPHOLOGY MAP OF KALAHANDI DISTRICT, ODISHA USING REMOTE SENSING AND GIS TECHNIQUES." Journal of Bio Innovation 9, no. 6 (December 1, 2020): 1287–95. http://dx.doi.org/10.46344/jbino.2020.v09i06.15.

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41

Gupta, Rupesh Kumar. "MONITORING URBAN GROWTH PATTERN OF DELHI USING REMOTE SENSING AND GIS TECHNIQUES." Journal of Global Resources 7, no. 1 (January 11, 2021): 26–35. http://dx.doi.org/10.46587/jgr.2021.v07i01.003.

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42

Amin, Arshad, and Shahab Fazal. "Land Transformation Analysis Using Remote Sensing and GIS Techniques (A Case Study)." Journal of Geographic Information System 04, no. 03 (2012): 229–36. http://dx.doi.org/10.4236/jgis.2012.43027.

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43

Lee, Sunmin, Yunjung Hyun, Saro Lee, and Moung-Jin Lee. "Groundwater Potential Mapping Using Remote Sensing and GIS-Based Machine Learning Techniques." Remote Sensing 12, no. 7 (April 8, 2020): 1200. http://dx.doi.org/10.3390/rs12071200.

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Adequate groundwater development for the rural population is essential because groundwater is an important source of drinking water and agricultural water. In this study, ensemble models of decision tree-based machine learning algorithms were used with geographic information system (GIS) to map and test groundwater yield potential in Yangpyeong-gun, South Korea. Groundwater control factors derived from remote sensing data were used for mapping, including nine topographic factors, two hydrological factors, forest type, soil material, land use, and two geological factors. A total of 53 well locations with both specific capacity (SPC) data and transmissivity (T) data were selected and randomly divided into two classes for model training (70%) and testing (30%). First, the frequency ratio (FR) was calculated for SPC and T, and then the boosted classification tree (BCT) method of the machine learning model was applied. In addition, an ensemble model, FR-BCT, was applied to generate and compare groundwater potential maps. Model performance was evaluated using the receiver operating characteristic (ROC) method. To test the model, the area under the ROC curve was calculated; the curve for the predicted dataset of SPC showed values of 80.48% and 87.75% for the BCT and FR-BCT models, respectively. The accuracy rates from T were 72.27% and 81.49% for the BCT and FR-BCT models, respectively. Both the BCT and FR-BCT models measured the contributions of individual groundwater control factors, which showed that soil was the most influential factor. The machine learning techniques used in this study showed effective modeling of groundwater potential in areas where data are relatively scarce. The results of this study may be used for sustainable development of groundwater resources by identifying areas of high groundwater potential.

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44

Goitsemang, Thabile, and Ch Rajendra Subudhi. "GEOMORPHOLOGY MAP OF KALAHANDI DISTRICT, ODISHA USING REMOTE SENSING AND GIS TECHNIQUES." Journal of Bio Innovation 9, no. 6 (December 1, 2020): 1287–95. http://dx.doi.org/10.46344/jbino.2020.v09i06.15.

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45

Fatema, S., and A. Chakrabarty. "Urban Sprawl Monitoring with the help of Remote Sensing and GIS Techniques." International Journal of Computer Sciences and Engineering 6, no. 10 (October 31, 2018): 216–21. http://dx.doi.org/10.26438/ijcse/v6i10.216221.

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46

Kattimani, JagadeeshaM, AnandaB Murthy, RanjanM S, SrujanD Kumar, and VaibhaviK R. "IDENTIFICATION OF GROUND WATER POTENTIAL ZONE USING REMOTE SENSING AND GIS TECHNIQUES." International Journal of Advanced Research 6, no. 5 (May 31, 2018): 948–53. http://dx.doi.org/10.21474/ijar01/7116.

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47

Saravanan, S., N. Chandrasekar, M. Rajamanickam, C. Hentry, and V. Joevivek. "Management of Coastal Erosion Using Remote Sensing and GIS Techniques (SE India)." International Journal of Ocean and Climate Systems 5, no. 4 (December 2014): 211–21. http://dx.doi.org/10.1260/1759-3131.5.4.211.

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48

Eldho, T. I. "INTEGRATED WATERSHED MODELING AND CHARACTERIZATION USING FEM, GIS & REMOTE SENSING TECHNIQUES." ISH Journal of Hydraulic Engineering 15, sup1 (January 2009): 227–43. http://dx.doi.org/10.1080/09715010.2009.10514977.

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49

Resmi, S. R., P. L. Patel, and P. V. Timbadiya. "Morphological study of Upper Tapi river using remote sensing and GIS techniques." ISH Journal of Hydraulic Engineering 25, no. 3 (January 12, 2018): 260–68. http://dx.doi.org/10.1080/09715010.2017.1409089.

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Dhar, S., A. K. Rai, and P. Nayak. "Estimation of seismic hazard in Odisha by remote sensing and GIS techniques." Natural Hazards 86, no. 2 (December 19, 2016): 695–709. http://dx.doi.org/10.1007/s11069-016-2712-3.

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