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Remote sensing and geographic information systems for policy decision support

Record Type:	Electronic resources : Monograph/item
Title/Author:	Remote sensing and geographic information systems for policy decision supportedited by R. B. Singh, Manish Kumar, Dinesh Kumar Tripathi.
other author:	Singh, R. B.
Published:	Singapore :Springer Nature Singapore :2022.
Description:	xiv, 497 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Geographic information systems.
Online resource:	https://doi.org/10.1007/978-981-16-7731-1
ISBN:	9789811677311$q(electronic bk.)

Remote sensing and geographic information systems for policy decision support
Remote sensing and geographic information systems for policy decision support[electronic resource] /edited by R. B. Singh, Manish Kumar, Dinesh Kumar Tripathi. - Singapore :Springer Nature Singapore :2022. - xiv, 497 p. :ill. (some col.), digital ;24 cm. - Advances in geographical and environmental sciences,2198-3550. - Advances in geographical and environmental sciences..

Estimated error analysis in downscaled land surface temperature -- Frequency Ratio approach for landslide susceptibility mapping of Phonda Ghat of Maharashtra -- Evaluation of the Hydrological Process Prevalent in Ghaggar River Basin using Interferometrically Derived Sentinel-1 DEM -- Site Suitability Analysis for Establishing Water Conservation Structures Using Geoinformatics of Eastern part of Satara District of Maharashtra, India -- Monsoon impacted magnetic and geomorphological changes along the Redi beach, Sindhudurg district, West Coast of Maharashtra, India -- Vulnerability assessment of avalanches in upper Satluj Basin, District Kinnaur, Himachal Pradesh, India: a geographic information system (GIS) based approach -- Assessment of Soil Risk by RUSLE Model Using Remote Sensing and GIS in Pench River Basin, Madhya Pradesh, India -- Socio economic livelihood vulnerability to Mountain Hazards: A case of Uttarakhand Himalaya, India -- Land Surface Temperature Retrieval of Landsat-8 Data using Split Window Algorithm over Delhi City, India -- Investigation of land use and land cover changes and its relationship with Land surface temperature and Ground water temperature over Bangalore city -- Land Use Land Cover Change Detection and Its Effect on Land Surface Temperature: A Case Study of Malana Watershed Kullu, Himachal Pradesh, India -- Spatio-Temporal Changes in Metropolitan Cities of India: A Comparative Study of Delhi and Mumbai -- GIS based assessment of Particulate Pollutants (PM10 and PM2.5) its Relation with Vegetation Green and its impacts on apple orchards in Kullu Valley, Himachal Pradesh, India -- The Magnitude of Transformation in Land use Land Cover of Kalyan-Dombivli, Smart City -- Assessment of Tiger Tourism in India: A Case Study of Ranthambore Tiger Reserve, Rajasthan, India -- Inventory and Phenological assessment of Apple Orchards using various Remote Sensing techniques for Shopian district of Jammu and Kashmir State, India -- Geospatial Technology in Sustainable Forest Management of Molakalmuru taluk, Chitradurga district, Karnataka, India -- Application of GIS Technology in Detection of Crime Hotspots & Vulnerable Areas of Jalandhar Commissionerate -- Quantifying Land Use/Land Cover Change and Landscape Fragmentation over the Intanki National Park, Nagaland (India) using Geo-informatics -- Impact of Sprawl on Development Pattern of Bengaluru City -- Using Remote Sensing Technique to Investigate Land Use/ Land Cover Changes in Varanasi District (U.p., India -- Geo-Spatial Database for Village Resources: A Case Study of Selected Villages from the Central Himalaya -- Effect of Urban Expansion on Groundwater Crisis: A Comparative Assessment of Nainital, Mussoorie and Shimla Hill Cities -- Land Use/Land Cover Changes in Coastal Districts of Karnataka -- Spatial Modeling for Municipal Solid Waste Management Using Remote Sensing and Geographic Information System.

The management of data to understand complex and interwoven processes of sustainable development has been a great challenge for researchers, planners, and decision makers. Remote sensing and GIS-based policy decision support systems not only help them to solve spatially related environmental and socio-economic issues; they also provide a powerful tool for integrating spatial and non-spatial datasets with analytical and spatial models and knowledge domains. Recent advances in the modern spatial tools of remote sensing and GIS combined with advanced computation techniques have enhanced the efficiency and capabilities of policy development. This book expands the scientific knowledge base in various physical and socio-economic issues among scholars, planners, and decision makers for policy development and research regarding sustainable development. It also demonstrates the importance of modern spatial decision support tools of remote sensing and GIS to better understand sustainable development processes and policy development. Furthermore, the book discusses case studies providing new insights as to how remote sensing and GIS-based decision support systems contribute to understanding physical and socio-economic processes and developing pragmatic policy for sustainable development. This book covers land surface temperature, hydrological processes, terrain mapping, flood and landslide hazards, land use and land cover dynamics, crime hotspots, urban health issues, tourism, agriculture, forest management, flood mitigation, urban sprawl, and village information systems, among others. Readers will find this book to be an invaluable resource for understanding and solving diverse physical and human issues for policy development related to sustainable planning and management.

ISBN: 9789811677311$q(electronic bk.)

Standard No.: 10.1007/978-981-16-7731-1doiSubjects--Topical Terms:

193348
Geographic information systems.

LC Class. No.: G70.212 / .R45 2022

Dewey Class. No.: 910.285

Remote sensing and geographic information systems for policy decision support
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520 $a The management of data to understand complex and interwoven processes of sustainable development has been a great challenge for researchers, planners, and decision makers. Remote sensing and GIS-based policy decision support systems not only help them to solve spatially related environmental and socio-economic issues; they also provide a powerful tool for integrating spatial and non-spatial datasets with analytical and spatial models and knowledge domains. Recent advances in the modern spatial tools of remote sensing and GIS combined with advanced computation techniques have enhanced the efficiency and capabilities of policy development. This book expands the scientific knowledge base in various physical and socio-economic issues among scholars, planners, and decision makers for policy development and research regarding sustainable development. It also demonstrates the importance of modern spatial decision support tools of remote sensing and GIS to better understand sustainable development processes and policy development. Furthermore, the book discusses case studies providing new insights as to how remote sensing and GIS-based decision support systems contribute to understanding physical and socio-economic processes and developing pragmatic policy for sustainable development. This book covers land surface temperature, hydrological processes, terrain mapping, flood and landslide hazards, land use and land cover dynamics, crime hotspots, urban health issues, tourism, agriculture, forest management, flood mitigation, urban sprawl, and village information systems, among others. Readers will find this book to be an invaluable resource for understanding and solving diverse physical and human issues for policy development related to sustainable planning and management.
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