Remote sensing application : regional perspectives in agriculture and forestry / Tofael Ahamed, editor.
Ahamed, Tofael, editor.
2022
S494.5.R4
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Title Remote sensing application : regional perspectives in agriculture and forestry / Tofael Ahamed, editor.
ISBN 9789811902130 (electronic bk.)
9811902135 (electronic bk.)
9811902127
9789811902123
DOI https://doi.org/10.1007/978-981-19-0213-0
Published Singapore : Springer, 2022.
Language English
Description 1 online resource : illustrations (black and white, and color)
Item Number 10.1007/978-981-19-0213-0 doi
Call Number S494.5.R4
Dewey Decimal Classification 630.20285
Summary This book focuses solely on the issues of agriculture and forest productivity analysis with advanced modeling approaches to bring solutions to food-insecure regions of South and Southeast Asia. Advanced modeling tools and their use in regional planning provide an outstanding opportunity to contribute toward food production and environments. In this book, leading-edge research methodologies related to remote sensing and geospatial variability of soil, water, and regional agricultural production indicators and their applications are introduced togethera unique feature of the book is the domain of regional policy perspectives and allied fields. In regional policy planning, agriculture and forestry have a key role in food security and environmental conservation that depends on the geo-spatial variability of these factors. Over the years, nature and climate have determined the variability of soil type, soil quality, geographical deviation for habitat, water quality, water sources, urban influences, population growth, carbon stock levels, and water resources with rain-fed or irrigated land use practices. In addition, human nutritional values and dietary habits have brought cultural adaptation of either mono- or multi-cropping patterns in the region. To encompass all these above mentioned factors and classify regional variability for policy planning, satellite remote sensing and geographical information systems have the immense potential to increase agricultural and forest productivity to ensure the resilience of its sustainability. Therefore, the 13 chapters presented in this book introduce modeling techniques using the signatures of vegetation and water indices, land use and land change dynamics, climatic, and socioeconomic criteria through spatial, temporal, and statistical analysis. As well, remote sensing and in-depth GIS analysis are integrated with machine and deep learning algorithms to address natural uncertainties such as flash floods, droughts, and cyclones in agricultural production management.
Access Note Access limited to authorized users.
Source of Description Description based on print version record.
Added Author Ahamed, Tofael, editor.
Series New frontiers in regional science: Asian perspectives ; v. 59.
Available in Other Form REMOTE SENSING APPLICATION.
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Chapter 1. A Review of Remote Sensing Applications in Agriculture and Forestry to Establish Big Data Analytics
Chapter 2. Calorie-based Seasonal Multicrop Land Suitability Analysis Using GIS and Remote Sensing for Regional Food Nutrition Security in Bangladesh
Chapter 3. Agricultural Land Suitability Assessment Using Satellite Remote Sensing-Derived Soil-Vegetation Indices
Chapter 4. Land Suitability Assessment for Cassava Production in Indonesia Using GIS, Remote Sensing and Multi-criteria Analysis
Chapter 5. Drought Estimation from Vegetation Phenology Analysis of Maize in Indonesia Using Deep Learning Algorithm
Chapter 6. Land Suitability Analysis for Grapes (Vist Vinefra L.) Production Using Satellite Remote Sensing, GIS and Analytical Hierarchy Process
Chapter 7. GIS-based MCA Modeling to Locate Suitable Industrial Sites in Suburb Areas of Bangladesh for Sustainability of Agricultural Lands,
Chapter 8. Change Detection and Land Suitability Analysis for Extension of Potential Forest Areas in Indonesia Using Satellite Remote Sensing and GIS
Chapter 9. Estimating productivity and carbon stock using phonological indices from satellite remote sensing in Indonesia
Chapter 10. GEE-based Spatiotemporal Evolution of Deforestation Monitoring in Malaysia and its Drivers
Chapter 11. Climate-Resilient Agriculture Assessment, Targeting and Prioritization for the Adaptation and Mitigation Initiative in Agriculture (AMIA) in the Cordillera Administrative Region, Philippines
Chapter 12. A Review on Innovation of Remote Sensing Technology based on Unmanned Aerial Vehicle for Sugarcane Production in Tropical Region
Chapter 13. Big Data Scheme from Remote Sensing Applications: Concluding Notes for Agriculture and Forestry Applications.

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