Hyperspectral Remote Sensing Of Vegetation Second Edition Four Volume Set

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

Prasad S. Thenkabail,John G. Lyon,Alfredo Huete
Hyperspectral Remote Sensing of Vegetation Second Edition Four Volume Set Book PDF

Author : Prasad S. Thenkabail,John G. Lyon,Alfredo Huete
Publisher : CRC Press
Page : 1637 pages
File Size : 44,5 Mb
Release : 2022-07-30
Category : Technology & Engineering
ISBN : 9781351659116

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Hyperspectral Remote Sensing of Vegetation, Second Edition, Four Volume Set by Prasad S. Thenkabail,John G. Lyon,Alfredo Huete Pdf

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.

Hyperspectral Remote Sensing of Vegetation

Prasad S. Thenkabail,John G. Lyon,Alfredo Huete
Hyperspectral Remote Sensing of Vegetation Book PDF

Author : Prasad S. Thenkabail,John G. Lyon,Alfredo Huete
Publisher : CRC Press
Page : 782 pages
File Size : 45,8 Mb
Release : 2016-04-19
Category : Science
ISBN : 9781439845387

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Hyperspectral Remote Sensing of Vegetation by Prasad S. Thenkabail,John G. Lyon,Alfredo Huete Pdf

Hyperspectral narrow-band (or imaging spectroscopy) spectral data are fast emerging as practical solutions in modeling and mapping vegetation. Recent research has demonstrated the advances in and merit of hyperspectral data in a range of applications including quantifying agricultural crops, modeling forest canopy biochemical properties, detecting crop stress and disease, mapping leaf chlorophyll content as it influences crop production, identifying plants affected by contaminants such as arsenic, demonstrating sensitivity to plant nitrogen content, classifying vegetation species and type, characterizing wetlands, and mapping invasive species. The need for significant improvements in quantifying, modeling, and mapping plant chemical, physical, and water properties is more critical than ever before to reduce uncertainties in our understanding of the Earth and to better sustain it. There is also a need for a synthesis of the vast knowledge spread throughout the literature from more than 40 years of research. Hyperspectral Remote Sensing of Vegetation integrates this knowledge, guiding readers to harness the capabilities of the most recent advances in applying hyperspectral remote sensing technology to the study of terrestrial vegetation. Taking a practical approach to a complex subject, the book demonstrates the experience, utility, methods and models used in studying vegetation using hyperspectral data. Written by leading experts, including pioneers in the field, each chapter presents specific applications, reviews existing state-of-the-art knowledge, highlights the advances made, and provides guidance for the appropriate use of hyperspectral data in the study of vegetation as well as its numerous applications, such as crop yield modeling, crop and vegetation biophysical and biochemical property characterization, and crop moisture assessment. This comprehensive book brings together the best global expertise on hyperspectral remote sensing of agriculture, crop water use, plant species detection, vegetation classification, biophysical and biochemical modeling, crop productivity and water productivity mapping, and modeling. It provides the pertinent facts, synthesizing findings so that readers can get the correct picture on issues such as the best wavebands for their practical applications, methods of analysis using whole spectra, hyperspectral vegetation indices targeted to study specific biophysical and biochemical quantities, and methods for detecting parameters such as crop moisture variability, chlorophyll content, and stress levels. A collective "knowledge bank," it guides professionals to adopt the best practices for their own work.

Hyperspectral Indices and Image Classifications for Agriculture and Vegetation

Prasad S. Thenkabail,John G. Lyon,Alfredo Huete
Hyperspectral Indices and Image Classifications for Agriculture and Vegetation Book PDF

Author : Prasad S. Thenkabail,John G. Lyon,Alfredo Huete
Publisher : CRC Press
Page : 333 pages
File Size : 41,7 Mb
Release : 2018-12-07
Category : Science
ISBN : 9781351659253

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Hyperspectral Indices and Image Classifications for Agriculture and Vegetation by Prasad S. Thenkabail,John G. Lyon,Alfredo Huete Pdf

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 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. This volume presents and discusses topics such as the non-invasive quantification of foliar pigments, leaf nitrogen concentration of cereal crop, the estimation of nitrogen content in crops and pastures, and forest leaf chlorophyll content, among others. The concluding chapter provides readers with useful guidance on the highlights and essence of Volume II through the editors’ perspective. Key Features of Volume II: Provides the fundamentals of hyperspectral narrowband vegetation indices and hyperspectral derivative vegetation indices and their applications in agriculture and vegetation studies. Discusses the latest advances in hyperspectral image classification methods and their applications. Explains the massively big hyperspectral sensing data processing on cloud computing architectures. Highlights the state-of-the-art methods in the field of hyperspectral narrowband vegetation indices for monitoring agriculture, vegetation, and their properties such as plant water content, nitrogen, chlorophyll, and others at leaf, canopy, field, and landscape scales. Includes best global expertise on hyperspectral remote sensing of agriculture, crop water use, plant species detection, crop productivity and water productivity mapping, and modeling.

Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation

Prasad S. Thenkabail,John G. Lyon,Alfredo Huete
Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation Book PDF

Author : Prasad S. Thenkabail,John G. Lyon,Alfredo Huete
Publisher : CRC Press
Page : 546 pages
File Size : 47,7 Mb
Release : 2018-12-07
Category : Science
ISBN : 9780429775154

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Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation by Prasad S. Thenkabail,John G. Lyon,Alfredo Huete Pdf

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 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. It emphasizes the importance of hyperspectral remote sensing tools for studying vegetation processes and functions as well as the appropriate use of hyperspectral data for vegetation management practices. The concluding chapter provides readers with useful guidance on the highlights and essence of Volume IV through the editors’ perspective. Key Features of Volume IV: Guides readers to harness the capabilities of the most recent advances in applying hyperspectral remote sensing technology to the study of terrestrial vegetation. Includes specific applications on agriculture, crop management practices, study of crop stress and diseases, crop characteristics based on inputs (e.g., nitrogen, irrigation), study of vegetation impacted by heavy metals, gross and net primary productivity studies, light use efficiency studies, crop water use and actual evapotranspiration studies, phenology monitoring, land use and land cover studies, global change studies, plant species detection, wetland and forest characterization and mapping, crop productivity and crop water productivity mapping, and modeling. Encompasses hyperspectral or imaging spectroscopy data in narrow wavebands used across visible, red-edge, near-infrared, far-infrared, shortwave infrared, and thermal portions of the spectrum. Explains the implementation of hyperspectral remote sensing data processing mechanisms in a standard, fast, and efficient manner for their applications. Discusses cloud computing to overcome hyperspectral remote sensing massive big data challenges. Provides hyperspectral analysis of rocky surfaces on the earth and other planetary systems.

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

Prasad S. Thenkabail,John G. Lyon,Alfredo Huete
Fundamentals Sensor Systems Spectral Libraries and Data Mining for Vegetation Book PDF

Author : Prasad S. Thenkabail,John G. Lyon,Alfredo Huete
Publisher : CRC Press
Page : 612 pages
File Size : 53,8 Mb
Release : 2018-12-07
Category : Technology & Engineering
ISBN : 9781351673280

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Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation by Prasad S. Thenkabail,John G. Lyon,Alfredo Huete Pdf

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.

Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation

Prasad S. Thenkabail,John G. Lyon,Alfredo Huete
Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation Book PDF

Author : Prasad S. Thenkabail,John G. Lyon,Alfredo Huete
Publisher : CRC Press
Page : 385 pages
File Size : 45,7 Mb
Release : 2018-12-07
Category : Science
ISBN : 9780429775161

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Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation by Prasad S. Thenkabail,John G. Lyon,Alfredo Huete Pdf

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 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. It emphasizes the importance of hyperspectral remote sensing tools for studying vegetation processes and functions as well as the appropriate use of hyperspectral data for vegetation management practices. The concluding chapter provides readers with useful guidance on the highlights and essence of Volume IV through the editors’ perspective. Key Features of Volume IV: Guides readers to harness the capabilities of the most recent advances in applying hyperspectral remote sensing technology to the study of terrestrial vegetation. Includes specific applications on agriculture, crop management practices, study of crop stress and diseases, crop characteristics based on inputs (e.g., nitrogen, irrigation), study of vegetation impacted by heavy metals, gross and net primary productivity studies, light use efficiency studies, crop water use and actual evapotranspiration studies, phenology monitoring, land use and land cover studies, global change studies, plant species detection, wetland and forest characterization and mapping, crop productivity and crop water productivity mapping, and modeling. Encompasses hyperspectral or imaging spectroscopy data in narrow wavebands used across visible, red-edge, near-infrared, far-infrared, shortwave infrared, and thermal portions of the spectrum. Explains the implementation of hyperspectral remote sensing data processing mechanisms in a standard, fast, and efficient manner for their applications. Discusses cloud computing to overcome hyperspectral remote sensing massive big data challenges. Provides hyperspectral analysis of rocky surfaces on the earth and other planetary systems.

Biophysical and Biochemical Characterization and Plant Species Studies

Prasad S. Thenkabail,John G. Lyon,Alfredo Huete
Biophysical and Biochemical Characterization and Plant Species Studies Book PDF

Author : Prasad S. Thenkabail,John G. Lyon,Alfredo Huete
Publisher : CRC Press
Page : 348 pages
File Size : 47,6 Mb
Release : 2018-12-07
Category : Science
ISBN : 9780429775222

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Biophysical and Biochemical Characterization and Plant Species Studies by Prasad S. Thenkabail,John G. Lyon,Alfredo Huete Pdf

Written by leading global experts, including pioneers in the field, the four-volume set on Hyperspectral Remote Sensing of Vegetation, Second Edition, reviews existing stateof- 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. Hyperspectral remote sensing or imaging spectroscopy data has been increasingly used in studying and assessing the biophysical and biochemical properties of agricultural crops and natural 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. The concluding chapter provides readers with useful guidance on the highlights and essence of Volume III through the editors’ perspective. Key Features of Volume III: Covers recent abilities to better quantify, model, and map plant biophysical, biochemical water, and structural properties. Demonstrates characteristic hyperspectral properties through plant diagnostics or throughput phenotyping of plant biophysical, biochemical, water, and structural properties. Establishes plant traits through hyperspectral imaging spectroscopy data as well as its integration with other data, such as LiDAR, using data from various platforms (ground-based, UAVs, and earth-observing satellites). Studies photosynthetic efficiency and plant health and stress through hyperspectral narrowband vegetation indices. Uses hyperspectral data to discriminate plant species and\or their types as well as their characteristics, such as growth stages. Compares studies of plant species of agriculture, forests, and other land use\land cover as established by hyperspectral narrowband data versus multispectral broadband data. Discusses complete solutions from methods to applications, inventory, and modeling considering various platform (e.g., earth-observing satellites, UAVs, handheld spectroradiometers) from where the data is gathered. Dwells on specific applications to detect and map invasive species by using hyperspectral data.

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

Prasad S. Thenkabail,John G. Lyon,Alfredo Huete
Fundamentals Sensor Systems Spectral Libraries and Data Mining for Vegetation Book PDF

Author : Prasad S. Thenkabail,John G. Lyon,Alfredo Huete
Publisher : CRC Press
Page : 449 pages
File Size : 49,6 Mb
Release : 2018-12-07
Category : Technology & Engineering
ISBN : 9781351673297

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Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation by Prasad S. Thenkabail,John G. Lyon,Alfredo Huete Pdf

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.

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

Prasad S. Thenkabail,John G. Lyon,Alfredo Huete
Fundamentals Sensor Systems Spectral Libraries and Data Mining for Vegetation Book PDF

Author : Prasad S. Thenkabail,John G. Lyon,Alfredo Huete
Publisher : Unknown
Page : 0 pages
File Size : 54,7 Mb
Release : 2023-01-09
Category : SCIENCE
ISBN : 1032475889

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Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation by Prasad S. Thenkabail,John G. Lyon,Alfredo Huete Pdf

This book discusses both the strengths and the limitations of the topics covered: (a) hyperspectral processes, (b) sensors, and (c) data analysis. Each chapter reviews existing "state-of-art" knowledge, highlights the advances made, and provides guidance for appropriate use of hyperspectral data in study of vegetation and its numerous applicatio

Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation

Prasad S. Thenkabail,John G. Lyon,Alfredo Huete
Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation Book PDF

Author : Prasad S. Thenkabail,John G. Lyon,Alfredo Huete
Publisher : CRC Press
Page : 0 pages
File Size : 50,5 Mb
Release : 2023-01-09
Category : Electronic
ISBN : 1032475870

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Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation by Prasad S. Thenkabail,John G. Lyon,Alfredo Huete Pdf

This volume discusses the use of hyperspectral data in numerous applications such as forest management, precision farming, monitoring invasive species, local to global land cover change detection, crop yield modeling and crop moisture assessment. Also emphasizes the importance of hyperspectral remote sensing tools for studying v

Soil and Crop Sensing for Precision Crop Production

Minzan Li,Chenghai Yang,Qin Zhang
Soil and Crop Sensing for Precision Crop Production Book PDF

Author : Minzan Li,Chenghai Yang,Qin Zhang
Publisher : Springer Nature
Page : 331 pages
File Size : 47,8 Mb
Release : 2022-09-07
Category : Technology & Engineering
ISBN : 9783030704322

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Soil and Crop Sensing for Precision Crop Production by Minzan Li,Chenghai Yang,Qin Zhang Pdf

Soil and crop sensing is a fundamental component and the first important step in precision agriculture. Unless the level of soil and crop variability is known, appropriate management decisions cannot be made and implemented. In the last few decades, various ground-based sensors have been developed to measure spatial variability in soil properties and nutrients, crop growth and yield, and pest conditions. Remote sensing as an important data collection tool has been increasingly used to map soil and crop growth variability as spatial, spectral and temporal resolutions of image data have improved significantly in recent years. While identifying spatial variability of soil and crop growth within fields is an important first step towards precision management, using that variability to formulate variable rate application plans of farming inputs such as fertilizers and pesticides is another essential step in precision agriculture.The purpose of this book is to present the historical, current and future developments of soil and crop sensing technologies with fundamentals and practical examples. The first chapter gives an overview of soil and crop sensing technologies for precision crop production. The next six chapters provide details on theories, methods, practical applications, as well as challenges and future research needs for all aspects of soil and crop sensing. The last two chapters show how soil and crop sensing technologies can be used for plant phenotyping and precision fertilization. The chapters are written by some of the world’s leading experts who have contributed significantly to the developments of precision agriculture technologies, especially in the area of soil and crop sensing. They use their knowledge, experiences, and successful stories to present informative and up-to-date information on relevant topics. Therefore, this book is an invaluable addition to the literature and can be used as a reference by scientists, engineers, practitioners, and college students for the dissemination and advancement of precision agriculture technologies for practical applications.

Geospatial Information Handbook for Water Resources and Watershed Management, Volume II

John G Lyon,Lynn Lyon
Geospatial Information Handbook for Water Resources and Watershed Management Volume II Book PDF

Author : John G Lyon,Lynn Lyon
Publisher : CRC Press
Page : 274 pages
File Size : 44,5 Mb
Release : 2022-12-21
Category : Technology & Engineering
ISBN : 9781000798975

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Geospatial Information Handbook for Water Resources and Watershed Management, Volume II by John G Lyon,Lynn Lyon Pdf

Volume II of Geospatial Information Handbook for Water Resources and Watershed Management discusses Geospatial Technology (GT) approaches using integrated modeling as applied to advanced water resource assessments. Features include multiple date land cover analyses as change in land cover influences water quality, model sensitivity analyses of DEM resolution and influences on modeling water characteristics like Manning’s n, development of seabed cover classification and sensitivity, and forecasting urban growth over time with climate vulnerability impacts on water. A detailed case study presents a range of water quality issues, all effectively demonstrating GT inputs to water quality studies from headwaters to receiving estuarine waters. Also analyzed are the comparison of evapotranspiration simulation performance by APEX model in dryland and irrigated cropping systems and perspectives on the future of transient storage modeling. Captures advanced technologies and applications for implementation with models to address a broad spectrum of water issues Provides real-world applications and case studies using advanced spectral and spatial sensors combined with geospatially facilitated water process models Features a Neuse River Basin case study integrating hydrologic methods and modeling along with remote sensing and GIS technologies for nonpoint source water quality evaluations Global coverage with applications demonstrated by more than 170 experts from around the world This handbook is a wide-ranging and contemporary reference of advanced geospatial techniques used in numerous practical applications at the local and regional scale and is an in-depth resource for professionals and the water research community worldwide.

Hyperspectral Remote Sensing of Agriculture and Vegetation

Simone Pascucci,Stefano Pignatti,Raffaele Casa,Roshanak Darvishzadeh,Wenjiang Huang
Hyperspectral Remote Sensing of Agriculture and Vegetation Book PDF

Author : Simone Pascucci,Stefano Pignatti,Raffaele Casa,Roshanak Darvishzadeh,Wenjiang Huang
Publisher : MDPI
Page : 266 pages
File Size : 54,6 Mb
Release : 2021-01-20
Category : Science
ISBN : 9783039439072

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Hyperspectral Remote Sensing of Agriculture and Vegetation by Simone Pascucci,Stefano Pignatti,Raffaele Casa,Roshanak Darvishzadeh,Wenjiang Huang Pdf

This book shows recent and innovative applications of the use of hyperspectral technology for optimal quantification of crop, vegetation, and soil biophysical variables at various spatial scales, which can be an important aspect in agricultural management practices and monitoring. The articles collected inside the book are intended to help researchers and farmers involved in precision agriculture techniques and practices, as well as in plant nutrient prediction, to a higher comprehension of strengths and limitations of the application of hyperspectral imaging to agriculture and vegetation. Hyperspectral remote sensing for studying agriculture and natural vegetation is a challenging research topic that will remain of great interest for different sciences communities in decades.

The Handbook of Natural Resources, Second Edition, Six Volume Set

Yeqiao Wang
The Handbook of Natural Resources Second Edition Six Volume Set Book PDF

Author : Yeqiao Wang
Publisher : CRC Press
Page : 2337 pages
File Size : 48,6 Mb
Release : 2022-05-30
Category : Nature
ISBN : 9780429821240

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The Handbook of Natural Resources, Second Edition, Six Volume Set by Yeqiao Wang Pdf

Authored by world-class scientists and scholars, the Handbook of Natural Resources, Second Edition, is an excellent reference for understanding the consequences of changing natural resources to the degradation of ecological integrity and the sustainability of life. Based on the content of the bestselling and CHOICE awarded Encyclopedia of Natural Resources, this new edition demonstrates the major challenges that the society is facing for the sustainability of all wellbeing on planet Earth. The experience, evidence, methods, and models used in studying natural resources are presented in six stand-alone volumes, arranged along the main systems: land, water, and air. It reviews state-of-the-art knowledge, highlights advances made in different areas, and provides guidance for the appropriate use of remote sensing data in the study of natural resources on a global scale. The six volumes in this set cover: Terrestrial Ecosystems and Biodiversity; Landscape and Land Capacity; Wetlands and Habitats; Fresh Water and Watersheds; Coastal and Marine Environments; and finally Atmosphere and Climate. Written in an easy-to-reference manner, the Handbook of Natural Resources, Second Edition, as a complete set, is essential for anyone looking for a deeper understanding of the science and management of natural resources. Public and private libraries, educational and research institutions, scientists, scholars, and resource managers will benefit enormously from this set. Individual volumes and chapters can also be used in a wide variety of both graduate and undergraduate courses in environmental science and natural science courses at different levels and disciplines, such as biology, geography, Earth system science, ecology, etc.

Hyperspectral Remote Sensing

Prem Chandra Pandey,Prashant K. Srivastava,Heiko Balzter,Bimal Bhattacharya,George P. Petropoulos
Hyperspectral Remote Sensing Book PDF

Author : Prem Chandra Pandey,Prashant K. Srivastava,Heiko Balzter,Bimal Bhattacharya,George P. Petropoulos
Publisher : Elsevier
Page : 508 pages
File Size : 47,9 Mb
Release : 2020-08-05
Category : Science
ISBN : 9780081028957

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Hyperspectral Remote Sensing by Prem Chandra Pandey,Prashant K. Srivastava,Heiko Balzter,Bimal Bhattacharya,George P. Petropoulos Pdf

Hyperspectral Remote Sensing: Theory and Applications offers the latest information on the techniques, advances and wide-ranging applications of hyperspectral remote sensing, such as forestry, agriculture, water resources, soil and geology, among others. The book also presents hyperspectral data integration with other sources, such as LiDAR, Multi-spectral data, and other remote sensing techniques. Researchers who use this resource will be able to understand and implement the technology and data in their respective fields. As such, it is a valuable reference for researchers and data analysts in remote sensing and Earth Observation fields and those in ecology, agriculture, hydrology and geology. Includes the theory of hyperspectral remote sensing, along with techniques and applications across a variety of disciplines Presents the processing, methods and techniques utilized for hyperspectral remote sensing and in-situ data collection Provides an overview of the state-of-the-art, including algorithms, techniques and case studies