Remote Sensing Handbook

This comprehensive six-volume handbook establishes a new standard for spanning and integrating discussion of remote sensing principles, data, methods, development, and applications in a scientific and social context. Advances in remote sensing with the arrival of machine learning, cloud computing, AI, and big data from multiple new generations of sensors are taken into consideration in the new edition, along with many new applications of remotely sensed data. 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.

Features: 
- Provides the most up-to-date comprehensive coverage of remote sensing science.
- Discusses and analyses data from new sensors and new satellites.
- Includes numerous case studies on advances and applications at a global 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 set 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 these handbooks and their extensive knowledge of new and emerging trends.