Remote Sensing Application II

A Climate Change Perspective in Agriculture

Erstverkaufstag: 13.06.2024

272,55 €*

Alle Preise inkl. MwSt.|Versandkostenfrei
ISBN-13:
9789819711871
Veröffentl:
2024
Erscheinungsdatum:
13.06.2024
Seiten:
500
Autor:
Tofael Ahamed
Sprache:
Englisch
Beschreibung:

This book focuses solely on the issues of agricultural productivity analysis with advanced modeling approaches bringing solutions to food-insecure regions of the world, especially in south and southeast Asia and in Africa. Advanced modeling tools and their use in regional planning provide an outstanding opportunity to help face the challenges of climate change. The sudden effect of flash floods, drought, salinity, and sea water rises causing saltwater intrusions and its impact on agricultural production are some of the disastrous results of climate change.
Chapter 1. Application of Remote Sensing in the Climate Change Perspectives.- Chapter 2. Land Suitability Analysis for Potential Vineyards Extension in Afghanistan at Regional Scale Using Remote Sensing Datasets.- Chapter 3. Assessment of Land Use Land Cover Changes for Predicting Vulnerable Agricultural Lands in River Basins of Bangladesh Using Remote Sensing and a Fuzzy Expert System.-Chapter 4. An Assessment of Drought Stress in Tea Estates Using Optical and Thermal Remote Sensing.- Chapter 5. A damage-based crop insurance system for flash flooding: a satellite remote sensing and econometric approach.- Chapter 6. Integrating an Expert System, GIS, and Satellite Remote Sensing to Evaluate Land Suitability for Sustainable Tea Production in Bangladesh.- Chapter 7. Shoreline Change Assessment in the Coastal Region of Bangladesh Using Tasseled Cap Transformation from Satellite Re-mote Sensing Dataset.- Chapter 8. Land Suitability and Insurance Premiums: A GIS-based Multicriteria Analysis Approach for Sustainable Rice Production.- Chapter 9. Transecting cyclones landfall on deltaic shorelines for landform alternation assessment using deep learning models.- Chapter 10. Vegetation Phenology Analysis for Drought Severity Classification in Myanmer Using Google Earth Engine and Satellite Remote Sensing.- Chapter 11. Conclusions: Concluding Remarks.

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