Fr. 210.00

Re-Envisioning Advances in Remote Sensing - Urbanization, Disasters and Planning

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This book discusses advances in remote sensing pertaining to urbanization, disasters, and planning, through available geospatial data supported by various case studies. It covers urbanization and its impact, geospatial technology for disasters and urban management, and natural disasters, models, and planning applications including GPS devices.

Table des matières










Introduction: Re-envisioning Advances in Remote Sensing. Section I. Urbanization and its Impact. 1. Remote Sensing Applications in Urbanization and its impact on Environment: A Case Study of Noida City. 2. Dynamics of Urban Land Use and its Impact on Land Surface Temperature (LST) in Aligarh City, Uttar Pradesh. 3. Use of a Smartphone to Map Noise Pollution: A Case Study of Ludhiana City. 4. An Assessment of Urban Green Spaces under the Smart Cities Mission: The Case of Qaiserbagh ABD Area of Lucknow City. 5. Impact on Land Surface Temperature and Urban Heat Island Due to Land Use Land Cover Change in Dhaka Metropolitan Area Using Remote Sensing and GIS Techniques. Section II. Geospatial Technology for Disaster Management. 6. Spatio-Environmental Distribution of Drought Disaster Events: A Space-Based Approach using Terra-MODIS Vegetation Index. 7. Sustainable Management of Waterlogged and Salt Affected Areas through Geo-Spatial Technology -A Case Study of Central Haryana. 8. Flood Risk Assessment and Analysis of Kashmir Valley Floor through Remote Sensing. 9. Remote Sensing Applications in Landslide Susceptibility Index Mapping of Rangamati District, Bangladesh. 10. Remote Sensing Applications in Landslide Assessments: Case of Kotropi in Himachal Himalayas. 11. Geospatial techniques to quantify urban change: A case of Harare, Zimbabwe. Section III. Remote Sensing Applications in Models and Planning. 12. Remote Sensing & GIS based Site Identification for Solid Waste Management for Urban Planning of Amritsar Municipal Corporation, Punjab, India. 13. Use of Remote Sensing Techniques in Land Degradation Mapping. 14. Feasibility Analysis of a Railway Route using Remote Sensing/Geoinformatics and Analytical Hierarchy Process (AHP) Techniques. 15. Comparing Performance of Inverse Distance Weighting and Modified Shepard Interpolation Models with Different Sampling Arrangements: A Case Study. 16. Application of Remote Sensing in the Groundwater Potential Analysis of Developing Countries. 17. Village Identification on the basis of Intensity of Problems in Physical Resources in the Kandi Region of Punjab for Micro Level Planning. Conclusion: Outlook to Future Research Agenda.

A propos de l'auteur

Ripudaman Singh, presently teaching as Professor of Geography at Amity University, Noida (Since September 2021). After completing his doctoral research from Panjab University, Chandigarh through UGC-JRF/SRF fellowships, he has been faculty to various institutions including Post Graduate Government College, Sector-11, Chandigarh (2005-2010); Central University of Punjab, Bathinda (2010-2011); and Lyallpur Khalsa College, Jalandhar (2011-2012), and Lovely Professional University, Phagwara (2012 to 2021). He has also served Government College, Hoshiarpur (2004) on honorary basis and Panjab University, Chandigarh as Guest Faculty (2005-2006). He has been a recipient of ‘Young Geographers Award’ from National Association of Geographers, India (NAGI) in 2005. He has special interest in Development Geography, Remote Sensing & GIS, Geography of India, Political Geography, Regional Development & Planning and Disaster Management. He has published more than sixty research papers in reputed international and national journals and four books to his credit. His other two books are under publication.

Résumé

This book discusses advances in remote sensing pertaining to urbanization, disasters, and planning, through available geospatial data supported by various case studies. It covers urbanization and its impact, geospatial technology for disasters and urban management, and natural disasters, models, and planning applications including GPS devices.

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