First Published in 1991. Routledge is an imprint of Taylor & Francis, an informa company.

Comprehensive Remote Sensing, Nine Volume Set covers all aspects of the topic, with each volume edited by well-known scientists and contributed to by frontier researchers. It is a comprehensive resource that will benefit both students and researchers who want to further their understanding in this discipline. The field of remote sensing has quadrupled in size in the past two decades, and increasingly draws in individuals working in a diverse set of disciplines ranging from geographers, oceanographers, and meteorologists, to physicists and computer scientists. Researchers from a variety of backgrounds are now accessing remote sensing data, creating an urgent need for a one-stop reference work that can comprehensively document the development of remote sensing, from the basic principles, modeling and practical algorithms, to various applications. Fully comprehensive coverage of this rapidly growing discipline, giving readers a detailed overview of all aspects of Remote Sensing principles and applications Contains ‘Layered content’, with each article beginning with the basics and then moving on to more complex concepts Ideal for advanced undergraduates and academic researchers Includes case studies that illustrate the practical application of remote sensing principles, further enhancing understanding

Remote Sensing of Forest Environments: Concepts and Case Studies is an edited volume intended to provide readers with a state-of-the-art synopsis of the current methods and applied applications employed in remote sensing the world's forests. The contributing authors have sought to illustrate and deepen our understanding of remote sensing of forests, providing new insights and indicating opportunities that are created when forests and forest practices are considered in concert with the evolving paradigm of remote sensing science. Following background and methods sections, this book introduces a series of case studies that exemplify the ways in which remotely sensed data are operationally used, as an element of the decision-making process, and in the scientific study of forests. Remote Sensing of Forest Environments: Concepts and Case Studies is designed to meet the needs of a professional audience composed of both practitioners and researchers. This book is also suitable as a secondary text for graduate-level students in Forestry, Environmental Science, Geography, Engineering, and Computer Science.

Photon-Vegetation Interactions deals with the interaction of electromagnetic radiation with vegetation canopies. The approach to the various aspects is mainly theoretical and consequently the subject is being treated as a special branch of mathematical physics. A major emphasis is on the development of theoretical methods for determining the reflection function of vegetation canopies in optical remote sensing. Furthermore, the coupling of the radiative transfer theory with leaf photosynthesis to evaluate the productivity of vegetation canopies is treated as well as the theory of photon transport in phototropic and other biological media.

The technique of imaging spectrometry has now passed its infancy and entered into a new phase of application oriented research. Advanced sensor systems (such as Nasa/JPL's AVIRIS) have become available for international research programmes (MAC Europe 1991), new imaging spectrometers are under development in several European countries or have already passed their acceptance tests, and first high spectral resolution imaging systems are already operated by private industry. On European level, the EARSEC programme of the Joint Research Centre has provided considerable financial investments for the development of an imaging spectrometer which covers the reflective and important parts of the emissive spectrum (DAIS-7915), and the European Space Agency has initiated an important airborne remote sensing campaign (EMAC 1994/95) in which imaging spectrometry will constitute one of the most important components. The increasing sensor capabilities also reflect the fact that imaging spectrometry has advanced in many application fields of earth remote sensing. Progress has been made in the development of data pre-proeessing methods, spectral signature modeling and semi-empirical approaches for retrieving surface parameters. It therefore appeared important to further disseminate information about new approaches in the application-oriented analysis of imaging spectrometry data. This volume presents the lectures of the second EUROCOURSE on imaging spectrometry which was held in November 1992 at the Joint Research Centre (a first course on "Fundamentals and Prospective Applications" of imaging spectrometry had been organised in October 1989, the lectures being published as EUROCOURSES in Remote Sensing, vol. 2).

Written by leading global experts, including pioneers in the field, 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. Volume I, Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation introduces the fundamentals of hyperspectral or imaging spectroscopy data, including hyperspectral data processes, sensor systems, spectral libraries, and data mining and analysis, covering both the strengths and limitations of these topics. Volume II, Hyperspectral Indices and Image Classifications for Agriculture and Vegetation evaluates the performance of hyperspectral narrowband or imaging spectroscopy data with specific emphasis on the uses and applications of hyperspectral narrowband vegetation indices in characterizing, modeling, mapping, and monitoring agricultural crops and vegetation. Volume III, Biophysical and Biochemical Characterization and Plant Species Studies demonstrates the methods that are developed and used to study terrestrial vegetation using hyperspectral data. This volume includes extensive discussions on hyperspectral data processing and how to implement 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 discusses the use of hyperspectral or imaging spectroscopy data in numerous specific and advanced applications, such as forest management, precision farming, managing invasive species, and local to global land cover change detection.