Hyperspectral Remote Sensing of Vegetation, Second Edition, Four Volume Set

The four-volume set on Hyperspectral Remote Sensing of Vegetation, Second Edition, reviews existing state-of-the-art knowledge, highlights advances made in different areas, and provides guidance for the appropriate use of hyperspectral data in the study and management of agricultural crops and natural vegetation.

Format: Mixed media product
Length: 1632 pages
Publication date: 28 February 2023
Publisher: Taylor & Francis Ltd

Hyperspectral Remote Sensing of Vegetation, Second Edition, is a comprehensive four-volume set written by leading global experts, including pioneers in the field. This esteemed publication offers a thorough review of existing state-of-the-art knowledge, highlights significant advancements made in various areas, and provides valuable guidance for the appropriate utilization of hyperspectral data in the study and management of agricultural crops and natural vegetation.

Volume I, Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation, serves as an introductory guide to the realm of hyperspectral or imaging spectroscopy data. It delves into the core concepts, including hyperspectral data processes, sensor systems, spectral libraries, and data mining and analysis. This volume explores both the strengths and limitations of these topics, providing a solid foundation for the subsequent volumes.

Volume II, Hyperspectral Indices and Image Classifications for Agriculture and Vegetation, takes a deeper dive into the evaluation of hyperspectral narrowband or imaging spectroscopy data. With a specific emphasis on the applications and uses of hyperspectral narrowband vegetation indices in characterizing, modeling, mapping, and monitoring agricultural crops and vegetation, this volume offers valuable insights into the potential of hyperspectral data in the agricultural sector.

Volume III, Biophysical and Biochemical Characterization and Plant Species Studies, showcases the methods developed and employed to study terrestrial vegetation using hyperspectral data. This comprehensive volume includes extensive discussions on hyperspectral data processing and the implementation of data processing mechanisms for specific biophysical and biochemical applications, such as crop yield modeling, crop biophysical and biochemical property characterization, and crop moisture assessments.

Volume IV, Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation, delves into the diverse and advanced applications of hyperspectral or imaging spectroscopy data. It explores a wide range of specific scenarios and cutting-edge techniques, highlighting the potential of hyperspectral data in advancing our understanding and management of agricultural crops and natural vegetation.

In conclusion, Hyperspectral Remote Sensing of Vegetation, Second Edition, is a indispensable resource for researchers, practitioners, and students in the fields of remote sensing, agriculture, and environmental science. With its comprehensive coverage, expert insights, and practical applications, this set empowers individuals to leverage the power of hyperspectral data in addressing pressing challenges and advancing sustainable land management practices.

Dimension: 254 x 178 (mm)
ISBN-13: 9781032475899
Edition number: 2 ed