Academic literature on the topic 'GIS Techniques/Remote Sensing'

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Journal articles on the topic "GIS Techniques/Remote Sensing"

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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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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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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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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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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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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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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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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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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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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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Dissertations / Theses on the topic "GIS Techniques/Remote Sensing"

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Mason, Philippa Jane. "Landslide hazard assessment using remote sensing and GIS techniques." Thesis, Imperial College London, 1999. http://hdl.handle.net/10044/1/8899.

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Smith, Steven Murray. "Assessing variability in the production of pasture using GIS and remote sensing techniques." Thesis, University of British Columbia, 1988. http://hdl.handle.net/2429/29293.

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Information relating to the spatial characteristics of biophysical resources has been difficult to incorporate into land management. In this study statistical analysis was used to demonstrate that forage yield and quality were influenced by the water balance and soil physical properties. Traditional empirical modelling techniques were of limited utility as predictors of yield and quality. However, multivariate statistical techniques provide predictor variables for individual forage cuts but not for a complete growing season. GIS provided several distinct advantages over traditional statistical techniques. First, it provided techniques to interpolate point data (such as forage yield and quality variables), and provide spatial distributions for a wide number of biophysical properties. Secondly, overlaying forage variables such as yield with a digital elevation model in a categoric manner provided output displaying the spatial relationships between the variables. Relationships derived from overlays using elevation and water retention properties provided good spatial predictions for several forage variables. Thirdly, digitized colour-IR aerial photographs were incorporated into the GIS where the pixel information was combined as map overlays via a regression equation. The resulting output provided very accurate spatial predictions for forage yield and quality parameters. Finally, economic data was generated in a spatial context and the resulting display was used to assess the effects of irrigation and management on forage yield and quality. The results suggest that the GIS techniques combined with remote sensing and economic data offer exciting possibilities to model and present spatial data.
Land and Food Systems, Faculty of
Graduate
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Yang, Lisa S. M. Massachusetts Institute of Technology. "Application of high resolution remote sensing and GIS techniques for evaluating urban infrastructure." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/120199.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2018.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 71-76).
City planners use information about a city's vegetation, urban morphology, and land-use to make decisions. The availability of high-resolution imagery is now expanding the type of information that can be used for planning as well as for understanding urbanization dynamics. This research uses very high resolution orthoimagery with three bands to obtain information about specific urban structures, such as roads and pavement, buildings, and solar panels, as well as non-impervious surface areas of vegetation and water. The maximum likelihood classifier (MLC) was used for the analysis of the images, and geographical information system (GIS) techniques were used to extract features. Two case studies were done for the cities of Phoenix, Arizona for the years 2004, 2006, 2008, and 2012 and for Seattle, Washington for 2002, 2005, and 2009. Results indicate that the area of buildings and the number buildings with solar panels have increased while the area of vegetation has increased for both Phoenix.and Seattle. The area of water has decreased for Seattle while the increase in water for Phoenix could suggest that more people are installing pools. The length of roads increases slightly for Seattle but decreases for Phoenix, a potential result of parking lots being converted into parking garages. The quantitative trends in the infrastructure were then compared to power law relationships between population and urban growing and scaling indicators.
by Lisa Yang.
S.M.
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Thompson, James. "Identifying Subsurface Tile Drainage Systems Utilizing Remote Sensing Techniques." University of Toledo / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1290141705.

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Valdez-Zamudio, Diego. "Using GIS and Remote Sensing Techniques to Estimate Land Cover Changes in a Desert Watershed." Arizona-Nevada Academy of Science, 1995. http://hdl.handle.net/10150/296481.

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From the Proceedings of the 1995 Meetings of the Arizona Section - American Water Resources Association and the Hydrology Section - Arizona-Nevada Academy of Science - April 22, 1995, Northern Arizona University, Flagstaff, Arizona
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Nurul, Aini Binti Kamaruddin. "Application of Remote Sensing and Geographic Information System Techniques to Monitoring of Protected Mangrove Forest Change in Sabah, Malaysia." 京都大学 (Kyoto University), 2016. http://hdl.handle.net/2433/215365.

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Ryan, Andrea L. "Assessment of spatial variability of silage corn quality and biomass using remote sensing and GIS techniques." Thesis, University of British Columbia, 1991. http://hdl.handle.net/2429/30294.

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The Matsqui area of the Lower Fraser Valley exhibits extreme soil heterogeneity, as the alluvial soils in the area have been deposited by the Fraser River as a series of coarse-textured ridges and finer-textured depressional areas. This variability poses some obvious problems with respect to agricultural management. The main aim of this study was to evaluate soil spatial variability in four fields, and to relate this soil variability to corn production and quality. Site conditions, topography, and soil chemical and physical variables were related to corn biomass and nutrient concentrations using conventional correlation/regression analyses, and more spatially representative techniques such as those provided by remote sensing and geographic information systems. Variations in such biophysical variables as soil moisture, elevation, and bulk density had consistent impacts on corn productivity, although these effects varied from field to field, being influenced by inherent soil properties and individual field management. Good relationships were found between pixel brightness values extracted from digitized colour infra-red photos and corn quality variables. In three out of four fields, near infra-red pixel values gave good estimates of total corn crude protein content. Significant relationships were also found between pixel brightness values and corn phosphorus and calcium contents in certain fields. The spatial variability of corn quality and biomass could be quantified using image analysis classification techniques. The resulting classified images indicate to the farm operator where high vs low quality corn is being produced, and thereby provide a tool for selectively managing and harvesting the fields. The relationships and quantification of corn productivity and quality in the fields can further be improved through incorporation of the image data with the biophysical data base using GIS techniques. A multiple regression equation showing a significant relationship between elevation and pixel brightness values, and total corn phosphorus concentration was incorporated within the GIS to produce a quantitative corn quality map for the field exhibiting this relationship. The GIS overlay capability facilitates the classification of several corn variables, and allows the results to be displayed in a spatial manner. For example, corn biomass and quality maps were overlain using GIS techniques, to produce a combination map which then reflected both the quality and quantity of corn found in the field. Through integration of remote sensing and GIS techniques, soil and crop variability can be displayed in a spatial manner. The output from such procedures can aid farm operators in making selective field management and harvesting decisions.
Land and Food Systems, Faculty of
Graduate
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Warren, Anthony James. "Integrating remote sensing and GIS techniques with ecological models to map biological diversity in boreal forest." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0017/MQ49691.pdf.

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Khalaf, Adla Jamil. "Spatial and temporal distribution of groundwater recharge in the West Bank using remote sensing and GIS techniques." Thesis, Durham University, 2010. http://etheses.dur.ac.uk/442/.

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Estimating groundwater recharge to aquifer systems is a very important element in assessing the water resources of the West Bank. Of particular interest is the sustainable yield of the aquifers. Previous studies have developed analytical recharge models that are based on the long-term annual rainfall data. These models have been shown to be inadequate and changes over shorter periods, e.g. monthly estimates, must be known in order to study the temporal distribution of recharge. The approach used in this research integrates data derived from satellite images (e.g. land cover, evapotranspiration, rainfall, and digital elevation model) with hydrogeological data in a Geographic Information System (GIS) model to identify and map the surface recharge areas. The Surface Energy Balance Algorithm for Land (SEBAL) is applied to time series of remote sensing MODerate Resolution Imaging Spectroradiometer (MODIS) level 3 data of reflectance and surface temperature measurements to estimate monthly evapotranspiration; precipitation is derived from the monthly data sets of the Tropical Rainfall Measuring Mission (TRMM); runoff is given assumed values of 0.75 mm month-1 and 0.4 mm month-1 for the months of January and February, respectively. Recharge is quantified from November until March by applying the water balance method where evapotranspiration estimates and runoff are subtracted from precipitation. Results show good agreement between data reported in the literature and remote sensing-based analysis. Empirical models that are based on long term rainfall measurements suggest recharge values between 800 and 836 MCM yr-1 while the remote sensing based model results estimate recharge to be 700 MCM yr-1. The Western, North-Eastern, and Eastern Aquifer Basins receive 30%, 23%, and 47% of the total calculated recharge while percentages available in the literature provide 49%, 22%, and 29%, respectively. Discrepancies are mainly due to lack of field data, the overestimation of actual evapotranspiration, and underestimation of TRMM precipitation values. The recharge map indicates that the most effective groundwater recharge zones are located in the north and west of the area that is characterised by thick and well developed soil deposits, heavy vegetation, and a sub-humid climate with the potential of significant recharge occurring during the wet season. Some areas in the east include concentration of drainage and stream flows which increase the ability of to recharge the groundwater system. The least effective areas are in the south and south-west region that is more arid with much less recharge, mainly due to its isolated thin soil deposits. A sensitivity analysis was carried out to demonstrate the impact of land cover change on groundwater and natural recharge. The assessment involved the use of land covers of 1994 and 2004 with the same fixed parameters of evapotranspiration, precipitation, drainage, slope, soil, and geology. Results show a decrease in high and intermediate high recharge areas from 40.25 km2 and 2462.25 km2 in year 1994 to 15.5 km2 and 1994 km2 in 2004, respectively. This illustrates the extent of land cover/land use change influence on recharge and calls for integrated plans and strategies to preserve recharge at least at its current rates.
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McLay, Nicholas Ross. "Ice Velocity and Mass Balance Study of the Skelton Glacier, Antarctica, Using Remote Sensing and GIS Techniques." Thesis, University of Canterbury. Gateway Antarctica, 2013. http://hdl.handle.net/10092/7883.

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The Skelton Glacier is one of the many smaller outlet glaciers located in the Transantarctic Mountains, where it drains ice into the Ross Ice Shelf. These outlet glaciers are important when determining the past, present, and future state of the mass balance of the East Antarctic Ice Sheet. This research uses satellite imagery acquired over a period of 15 years to obtain a high resolution velocity field for the Skelton Glacier which is then used to calculate the mass flux and mass balance at ten flux gates along the glacier using the input-output method. The high resolution velocity field is combined with ice thickness data and accumulation data from other sources to obtain the total mass balance. The high resolution velocity field of the Skelton Glacier was created using European Remote-Sensing Satellite 1 and 2 (ERS-1/2) Synthetic Aperture Radar (SAR) data acquired in 1996 with the processing technique of SAR interferometry (InSAR). Because of the lack of differential InSAR pairs, new auxiliary data from the ICESat and TanDEM-X mission were included into the analysis. A velocity field was created at a spatial resolution of 50m which was validated with in situ GPS measurements from 2011/12, and compared to lower resolution velocity fields of the Skelton Glacier. The ice velocity field is at improved accuracy for this area compared to previous studies and is thought to be representative for the mean ice velocity. The analysis of ice flux at several flux gates allowed an improved error estimation of the applied technique to estimate the overall mass balance. Mass flux estimates along the glacier were calculated using the new velocity field and additional thickness data, which was then compared to two accumulation datasets to give mass balance estimates along the glacier at selected flux gates. The mass flux through the grounding line was found to be 1.2165 Gt a⁻¹, which needs to be balanced in a state of mass balance equilibrium by a mean annual snow accumulation of about 185 mm a⁻¹ water equivalent over the total catchment area determined with 6569 km². The mass balance at the grounding line is slightly negative, but the second flux gate is thought to be more representative of the mass balance, which is estimated to be 0.0441 Gt a⁻¹. Error analysis of the mass balance estimates found uncertainties in this data to be approximately 0.110 Gt a⁻¹. It is concluded from the analysis that further improvements in the overall mass balance estimate can be primarily obtained by a better knowledge of ice thickness and snow accumulation.
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Books on the topic "GIS Techniques/Remote Sensing"

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van Dijk, A., and M. G. Bos, eds. GIS and Remote Sensing Techniques in Land- and Water-management. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-009-0005-9.

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author, Mason Philippa J., ed. Image processing and GIS for remote sensing: Techniques and applications. Chichester, UK: John Wiley & Sons, 2016.

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1943-, Dijk A. van, and Bos Marinus Gijsberthus 1943-, eds. GIS and remote sensing techniques in land- and water-management. Dordrecht: Kluwer Academic, 2001.

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Key concepts and techniques in GIS. Los Angeles: Sage Publications, 2007.

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United States. National Aeronautics and Space Administration., ed. Applying remote sensing and GIS techniques in solving rural county information needs. [Washington, DC: National Aeronautics and Space Administration, 1992.

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United States. National Aeronautics and Space Administration., ed. Applying remote sensing and GIS techniques in solving rural county information needs. [Washington, DC: National Aeronautics and Space Administration, 1992.

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Sharakas, Othman. Land degradation risk assessment in the Palestinian Central Mountains utilizing remote sensing and GIS techniques. Bergen: BRIC, 2007.

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Abkar, Ali Akbar. Likelihood-based segmentation and classification of remotely sensed images: A Bayesian optimization approach for combining RS and GIS. Enschede, The Netherlands: International Institute for Aerospace Survey and Earth Sciences, 1999.

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Eleveld, Marieke A. Exploring coastal morphodynamics of Ameland (the Netherlands) with remote sensing monitoring techniques and dynamic modelling in GIS. [Enschede, the Netherlands: ITC, 1999.

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International Conference on GeoInformatics (16th 2008 Guangzhou, China). Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of remote sensing images : 28-29 June 2008, Guangzhou, China. Edited by Liu Lin 1965-, Zhongshan da xue (Guangzhou, China), University of Cincinnati, Association of Chinese Professionals in Geographic Information Systems (Abroad), Guangzhou di li yan jiu suo, Guo jia zi ran ke xue ji jin wei yuan hui (China), SPIE (Society), and Joint Conference on GIS and Built environment (2008 : Guangzhou, China). Bellingham, Wash: SPIE, 2008.

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Book chapters on the topic "GIS Techniques/Remote Sensing"

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Liu, Jian Guo, and Philippa J. Mason. "Image Fusion Techniques." In Essential Image Processing and GIS for Remote Sensing, 71–76. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118687963.ch6.

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Solomon, Semere, and Woldai Ghebreab. "Remote Sensing and GIS Techniques for Tectonic Studies." In Encyclopedia of Solid Earth Geophysics, 1–6. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-10475-7_176-1.

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Solomon, Semere, and Woldai Ghebreab. "Remote Sensing and GIS Techniques for Tectonic Studies." In Encyclopedia of Solid Earth Geophysics, 1030–35. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-90-481-8702-7_176.

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Solomon, Semere, and Woldai Ghebreab. "Remote Sensing and GIS Techniques for Tectonic Studies." In Encyclopedia of Solid Earth Geophysics, 1325–30. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-58631-7_176.

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Kar, Bandana, and Edwin Chow. "4. Fusion of Multiscaled Spatial and Temporal Data: Techniques and Issues." In Integrating Scale in Remote Sensing and GIS, 95–124. Routledge, 2 Park Square, Milton Park, Abingdon, Oxon OX14 4RN and by Routledge, 711 Third Avenue, New York, NY 10017: CRC Press, 2016. http://dx.doi.org/10.1201/9781315373720-5.

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Liu, Jian Guo, and Philippa J. Mason. "*Introduction to Interferometric Synthetic Aperture Radar Techniques." In Essential Image Processing and GIS for Remote Sensing, 121–34. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118687963.ch10.

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Kontoes, Charalampos, Ioannis Papoutsis, Themistocles Herekakis, Emmanuela Ieronymidi, and Iphigenia Keramitsoglou. "6. Remote Sensing Techniques for Forest Fire Disaster Management: The FireHub Operational Platform." In Integrating Scale in Remote Sensing and GIS, 157–88. Routledge, 2 Park Square, Milton Park, Abingdon, Oxon OX14 4RN and by Routledge, 711 Third Avenue, New York, NY 10017: CRC Press, 2016. http://dx.doi.org/10.1201/9781315373720-7.

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Prasad, Bikram, and H. L. Tiwari. "Assessment of Reservoir Sedimentation Using Remote Sensing and GIS Techniques." In Geospatial and Soft Computing Techniques, 153–68. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1901-7_14.

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Martino, Luca, Carlo Ulivieri, Munzer Jahjah, and Emanuele Loret. "Remote Sensing and GIS Techniques for Natural Disaster Monitoring." In Space Technologies for the Benefit of Human Society and Earth, 331–82. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-1-4020-9573-3_14.

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Beg, Ayad Ali Faris, and Ahmed Hashem Al-Sulttani. "Spatial Assessment of Drought Conditions Over Iraq Using the Standardized Precipitation Index (SPI) and GIS Techniques." In Environmental Remote Sensing and GIS in Iraq, 447–62. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21344-2_18.

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Conference papers on the topic "GIS Techniques/Remote Sensing"

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Smits, Paul C., Alessandro Annoni, and Silvana G. Dellepiane. "Integration of GIS and remote sensing image analysis techniques." In Remote Sensing, edited by Sebastiano B. Serpico. SPIE, 1999. http://dx.doi.org/10.1117/12.373265.

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Nikolakopoulos, Konstantinos G., P. I. Tsombos, and A. D. Vaiopoulos. "Monitoring a quarry using high resolution data and GIS techniques." In Remote Sensing, edited by Ulrich Michel and Daniel L. Civco. SPIE, 2010. http://dx.doi.org/10.1117/12.864527.

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Themistocleous, Kyriacos, and Andreas Anayiotos. "Investigating the past using remote sensing techniques." In Earth Resources and Environmental Remote Sensing/GIS Applications XII, edited by Karsten Schulz, Konstantinos G. Nikolakopoulos, and Ulrich Michel. SPIE, 2021. http://dx.doi.org/10.1117/12.2600227.

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Lu, Lizhen, Renyi Liu, and Nan Liu. "GIS semantics-based approach of remote sensing image retrieval." In MIPPR 2005 Image Analysis Techniques, edited by Deren Li and Hongchao Ma. SPIE, 2005. http://dx.doi.org/10.1117/12.655219.

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Conese, Claudio, M. Benvenuti, Paola Grande, and Maurizio Romani. "Remote sensing and GIS techniques for land degradation monitoring and assessment in Niger." In Remote Sensing, edited by Edwin T. Engman. SPIE, 1998. http://dx.doi.org/10.1117/12.332743.

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Kakavas, M. P., K. G. Nikolakopoulos, and E. Zagana. "Karst features detection and mapping using airphotos, DSMs and GIS techniques." In SPIE Remote Sensing, edited by Ulrich Michel, Karsten Schulz, Manfred Ehlers, Konstantinos G. Nikolakopoulos, and Daniel Civco. SPIE, 2015. http://dx.doi.org/10.1117/12.2194529.

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"Remote Sensing & GIS Techniques for Gold Exploration." In International Conference on Advances in Science, Engineering, Technology and Natural Resources. International Institute of Chemical, Biological & Environmental Engineering, 2015. http://dx.doi.org/10.15242/iicbe.c0815061.

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Zhang, Dong, and Wanchang Zhang. "Distributed hydrological modeling study with the dynamic water yielding mechanism and RS/GIS techniques." In Remote Sensing, edited by Manfred Owe, Guido D'Urso, Christopher M. U. Neale, and Ben T. Gouweleeuw. SPIE, 2006. http://dx.doi.org/10.1117/12.690016.

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Nikolakopoulos, Konstantinos, Dimitrios Vaiopoulos, and George Skianis. "Monitoring of the environmental changes at Lefkas Island using remote sensing data and GIS techniques." In Remote Sensing, edited by Manfred Ehlers and Ulrich Michel. SPIE, 2005. http://dx.doi.org/10.1117/12.626804.

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Tsombos, Panagiotis I., Konstantinos G. Nikolakopoulos, Adonis Photiades, and Konstantinos Psonis. "Updating the 1:50.000 geological maps of Rhodes Island using remote sensing data and GIS techniques." In Remote Sensing, edited by Manfred Ehlers and Ulrich Michel. SPIE, 2007. http://dx.doi.org/10.1117/12.737948.

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Reports on the topic "GIS Techniques/Remote Sensing"

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McInerney, Michael K., and John M. Carlyle. : Demonstration of Acoustic Sensing Techniques for Fuel-Distribution System Condition Monitoring : Final Report on Project F07-AR07. Engineer Research and Developmenter Center (U.S.), January 2021. http://dx.doi.org/10.21079/11681/39560.

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Leaks in fuel storage tanks and distribution piping systems have been identified as a mission-critical problem by the Department of Defense and the U.S. Army. Fuel system leaks are often hard to locate and virtually inaccessible for efficient repair because the piping is often installed under a concrete pad or tarmac. Leak repair could cost up to $2,000, and the cost of cleanup and re-mediation for fuel spills can exceed $50,000. In this project an acoustic remote sensing system was installed to monitor an Army heliport refueling system to determine whether it could detect and accurately locate fuel leaks using computer software technolo-gies to distinguish acoustic leakage signatures from normal fuel system operational noise. Demonstration and validation efforts were disadvantaged by the fact that no fuel leaks occurred in the monitored system for the duration of the project. However, the monitoring system did identify several unusual acoustic events within the fueling system and interpret them as indications of intermittent malfunctions of a check valve and a fuel pump. The 30-year ROI is about 6.42. Further work is required before the technology can be fully implemented: its ability to detect fluid leaks must be proven, and the system specifications must be certified through an EPA third party.
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Manore, M. J. Remote Sensing and GIS-Together at Last. Natural Resources Canada/CMSS/Information Management, 1990. http://dx.doi.org/10.4095/217659.

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Ryerson, R. A., and J. Cihlar. Remote Sensing Techniques Monitor Global Change. Natural Resources Canada/CMSS/Information Management, 1990. http://dx.doi.org/10.4095/217656.

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Lampman, Janet L. Bibliography of Remote Sensing Techniques Used in Wetland Research. Fort Belvoir, VA: Defense Technical Information Center, January 1993. http://dx.doi.org/10.21236/ada269109.

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Robert Paul Breckenridge. Improving Rangeland Monitoring and Assessment: Integrating Remote Sensing, GIS, and Unmanned Aerial Vehicle Systems. Office of Scientific and Technical Information (OSTI), May 2007. http://dx.doi.org/10.2172/978362.

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Glen, Crystal Chanea, Andres L. Sanchez, Gabriel Anthony Lucero, Randal L. Schmitt, Mark S. Johnson, Matthew S. Tezak, and Brandon Lee Servantes. Aerosol characterization study using multi-spectrum remote sensing measurement techniques. Office of Scientific and Technical Information (OSTI), September 2013. http://dx.doi.org/10.2172/1096516.

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Cuesta, Rosa, Ignacio Fiz Fernández, and Eva Subías Pascual. Hydraulic and urban management during Roman times based on GIS and remote sensing analysis (Clunia, Spain). Edicions i Publicacions de la UdL, 2019. http://dx.doi.org/10.21001/rap.2019.29.4.

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Goralski, Elizabeth. Western Juniper (Juniperus occidentalis) Ecology with an Exercise in Remote Sensing Techniques. Portland State University Library, January 2000. http://dx.doi.org/10.15760/geogmaster.11.

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Холошин, Ігор Віталійович, Ірина Миколаївна Варфоломєєва, Олена Вікторівна Ганчук, Ольга Володимирівна Бондаренко, and Андрій Валерійович Пікільняк. Pedagogical techniques of Earth remote sensing data application into modern school practice. CEUR-WS.org, 2018. http://dx.doi.org/10.31812/123456789/3257.

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Abstract. The article dwells upon the Earth remote sensing data as one of the basic directions of Geo-Information Science, a unique source of information on processes and phenomena occurring in almost all spheres of the Earth geographic shell (atmosphere, hydrosphere, lithosphere, etc.). The authors argue that the use of aerospace images by means of the information and communication technologies involvement in the learning process allows not only to increase the information context value of learning, but also contributes to the formation of students’ cognitive interest in such disciplines as geography, biology, history, physics, computer science, etc. It has been grounded that remote sensing data form students’ spatial, temporal and qualitative concepts, sensory support for the perception, knowledge and explanation of the specifics of objects and phenomena of geographical reality, which, in its turn, provides an increase in the level of educational achievements. The techniques of aerospace images application into the modern school practice have been analyzed and illustrated in the examples: from using them as visual aids, to realization of practical and research orientation of training on the basis of remote sensing data. Particular attention is paid to the practical component of the Earth remote sensing implementation into the modern school practice with the help of information and communication technologies.
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Kholoshyn, Ihor V., Iryna M. Varfolomyeyeva, Olena V. Hanchuk, Olga V. Bondarenko, and Andrey V. Pikilnyak. Pedagogical techniques of Earth remote sensing data application into modern school practice. [б. в.], September 2019. http://dx.doi.org/10.31812/123456789/3262.

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The article dwells upon the Earth remote sensing data as one of the basic directions of Geo-Information Science, a unique source of information on processes and phenomena occurring in almost all spheres of the Earth geographic shell (atmosphere, hydrosphere, lithosphere, etc.). The authors argue that the use of aerospace images by means of the information and communication technologies involvement in the learning process allows not only to increase the information context value of learning, but also contributes to the formation of students’ cognitive interest in such disciplines as geography, biology, history, physics, computer science, etc. It has been grounded that remote sensing data form students’ spatial, temporal and qualitative concepts, sensory support for the perception, knowledge and explanation of the specifics of objects and phenomena of geographical reality, which, in its turn, provides an increase in the level of educational achievements. The techniques of aerospace images application into the modern school practice have been analyzed and illustrated in the examples: from using them as visual aids, to realization of practical and research orientation of training on the basis of remote sensing data. Particular attention is paid to the practical component of the Earth remote sensing implementation into the modern school practice with the help of information and communication technologies.
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