Remote Sensing Handbook, Volume III: Agriculture, Food Security, Rangelands, Vegetation, Phenology, and Soils

Volume III of the Remote Sensing Handbook, Second Edition, is focused on agriculture, food security, vegetation, phenology, rangelands, soils, and global biomass modeling, mapping, and monitoring using multi-sensor remote sensing. It discusses the application of remote sensing in agriculture systems analysis, phenology, cropland mapping and modelling, terrestrial vegetation studies, physically based models, food and water security, precision farming, crop residues, global view of rangelands, and soils. This thoroughly revised and updated volume draws on the expertise of a diverse array of leading international authorities in remote sensing and provides an essential resource for researchers at all levels interested in using remote sensing. It integrates discussions of remote sensing principles, data, methods, development, applications, and scientific and social context.

Features

• Provides the most up-to-date comprehensive coverage of remote sensing science in agriculture, vegetation, and soil studies.
• Discusses and analyzes data from old and new generation of satellites and sensors spread across 60 years.
• Provides comprehensive assessment of modelling, mapping, and monitoring agricultural crops, vegetation, and soils from wide array of sensors, methods, and techniques.
• Includes numerous case studies on advances and applications at local, regional, andglobal scale.
• Introduces advanced methods in remote sensing such as machine learning, cloud computing, and AI.
• Highlights scientific achievements over the last decade and provides guidance for future developments.

This volume is an excellent resource for the entire remote sensing and GIS community. Academics, researchers, undergraduate and graduate students, as well as practitioners, decision-makers, and policymakers, will benefit from the expertise of the professionals featured in this book, and their extensive knowledge of new and emerging trends.