Imaging Spectrometry -- a Tool for Environmental Observations


Book Description

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).




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


Book Description

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.




Sustainable Land Use in Deserts


Book Description

Changing desert areas for land use implies a lot of ecological problems. These and related ones are dealt with in this book covering various interdisciplinary and international aspects. Large areas in arid and semi-arid regions are already polluted in various ways. One of the biggest problems is the anthropogenic salinization by inadequate means of agriculture and irrigation. Additionally, most arid areas in the world are dramatically overgrazed. Methods and practices of a sustainable land use in deserts are urgently needed in many arid regions. This book gives a broad survey on some of the affected regions of the world as well as some case studies from elsewhere (Aral Sea, Negev desert, Namib desert etc.). Thus, basic and applied sciences are brought together. Water management in deserts, grazing systems or reclamation of desertified areas are among the topics of this book, as well as social and economic aspects.




Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation


Book Description

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. This book also presents and discusses hyperspectral narrowband data acquired in numerous unique spectral bands in the entire length of the spectrum from various ground-based, airborne, and spaceborne platforms. The concluding chapter provides readers with useful guidance on the highlights and essence of Volume I through the editors’ perspective. Key Features of Volume I: Provides the fundamentals of hyperspectral remote sensing used in agricultural crops and vegetation studies. Discusses the latest advances in hyperspectral remote sensing of ecosystems and croplands. Develops online hyperspectral libraries, proximal sensing and phenotyping for understanding, modeling, mapping, and monitoring crop and vegetation traits. Implements reflectance spectroscopy of soils and vegetation. Enumerates hyperspectral data mining and data processing methods, approaches, and machine learning algorithms. Explores methods and approaches for data mining and overcoming data redundancy; Highlights the advanced methods for hyperspectral data processing steps by developing or implementing appropriate algorithms and coding the same for processing on a cloud computing platform like the Google Earth Engine. Integrates hyperspectral with other data, such as the LiDAR data, in the study of vegetation. Includes best global expertise on hyperspectral remote sensing of agriculture, crop water use, plant species detection, crop productivity and water productivity mapping, and modeling.




Hyperspectral Imaging Remote Sensing


Book Description

A practical and self-contained guide to the principles, techniques, models and tools of imaging spectroscopy. Bringing together material from essential physics and digital signal processing, it covers key topics such as sensor design and calibration, atmospheric inversion and model techniques, and processing and exploitation algorithms. Readers will learn how to apply the main algorithms to practical problems, how to choose the best algorithm for a particular application, and how to process and interpret hyperspectral imaging data. A wealth of additional materials accompany the book online, including example projects and data for students, and problem solutions and viewgraphs for instructors. This is an essential text for senior undergraduate and graduate students looking to learn the fundamentals of imaging spectroscopy, and an invaluable reference for scientists and engineers working in the field.




Remote Sensing '96: Integrated Applications for Risk Assessment and Disaster Prevention for the Mediterranean


Book Description

This collection of symposium papers covers such topics as: environmental change; desertification; rainfall; erosion and geomorphological hazards; and land degradation and marine pollution. Other presentations dealt with practical applications of remote sensing and geographic information systems.




Remote Sensing


Book Description

Remote sensing is a technology that engages electromagnetic sensors to measure and monitor changes in the earth's surface and atmosphere. Normally this is accomplished through the use of a satellite or aircraft. Remote Sensing, in its third edition, seamlessly connects the art and science of earth remote sensing with the latest interpretative tools and techniques of computer-aided image processing. Newly expanded and updated, this edition delivers more of the applied scientific theory and practical results that helped the previous editions earn wide acclaim and become classroom and industry standards. Dr. Schowengerdt presents an advanced unified framework and rationale that uniquely empowers the reader with the latest critical thinking skills and prerequisite knowledge needed to successfully design, develop and incorporate maintainable remote sensing solutions for real-world application. Advanced remote sensing image processing techniques such as hyperspectral image analysis, fusion of multisensor images and digital elevation model extraction from stereo imagery are discussed theoretically in terms of spectral, spatial, and geometric models. An expanded exercise section is also included at the end of each chapter allowing for the greatest level of mastery ever. - Features a new lively discussion of the NASA EOS satellites, Terra and Aqua, and the commercial satellites IKONOS and Quickbird - New larger format provides additional access to 32 PAGE - FULL COLOR plate insert and improved readability - Additional data processing algorithms help connect and enhance the collective understanding of engineering design and remotely sensed data




Euro Abstracts


Book Description




Land Surface Remote Sensing in Agriculture and Forest


Book Description

The environmental and economic importance of monitoring forests and agricultural resources has allowed remote sensing to be increasingly in the development of products and services responding to user needs.This volume presents the main applications in remote sensing for agriculture and forestry, including the primary soil properties, the estimation of the vegetation's biophysical variables, methods for mapping land cover, the contribution of remote sensing for crop and water monitoring, and the estimation of the forest cover properties (cover dynamic, height, biomass).This book, part of a set of six volumes, has been produced by scientists who are internationally renowned in their fields. It is addressed to students (engineers, Masters, PhD), engineers and scientists, specialists in remote sensing applied to agriculture and forestry.Through this pedagogical work, the authors contribute to breaking down the barriers that hinder the use of radar imaging techniques. - Provides clear and concise descriptions of modern remote sensing methods - Explores the most current remote sensing techniques with physical aspects of the measurement (theory) and their applications - Provides chapters on physical principles, measurement, and data processing for each technique described - Describes optical remote sensing technology, including a description of acquisition systems and measurement corrections to be made




Principles of Remote Sensing


Book Description