John G. Lyon – författare

The development of robust accuracy assessment methods for the validation of spatial data represents a difficult challenge for the geospatial science community. Obstacles to robust assessments include continuous data characteristics and positional errors, demanding ongoing development by GIS and remote sensing experts.Based upon a special symposium sponsored by the U.S. Environmental Protection Agency (EPA), Remote Sensing and GIS Accuracy Assessment evaluates the important scientific elements related to the performance of accuracy assessments for remotely sensed data, GIS data analysis, and integration products. Scientists from federal, state, and local governments, academia, and nongovernmental organizations present twenty technical chapters that examine sampling issues, reference data collection, edge and boundary effects, error matrix and fuzzy assessments, error budget analysis, and change detection accuracy assessment.The book includes the keynote presentation by Russell G. Congalton that provides a historical accuracy assessment overview, articulatescurrent technical shortcomings, and identified numerous issues that were debated throughout the symposium. All chapters underwent a peer review and were determined to be valuable to the remote sensing and GIS community. The editors arranged the chapters as a series of complementary scientific topics to provide you with a detailed treatise on spatial data accuracy assessment issues.

The use of GIS, and its application for solving environmental problems is growing rapidly. This powerful set of tools can be used to great effect in hydrological modeling, environment and habitat assessments, ecosystem studies, monitoring of wetlands and forested watersheds, urban studies, agricultural impact assessment and much more. GIS for Watershed and Water Resource Management explains the fundamentals, demonstrates new approaches, techniques and methods, and provides examples of real applications. It presents the basic concepts, and shows how to acquire the critical information needed to plan and implement GIS studies, and develop practical solutions for environmental management and problem solving.

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.

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.

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.

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.

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.

Volume I of Geospatial Information Handbook for Water Resources and Watershed Management discusses fundamental characteristics, measurements, and analyses of water features and watersheds including lakes and reservoirs, rivers and streams, and coasts and estuaries. It presents contemporary knowledge on Geospatial Technology (GT)–supported functional analyses of water runoff, storage and balance, flooding and floodplains, water quality, soils and moisture, climate vulnerabilities, and ecosystem services.

Captures advanced Geospatial Technologies (GTs) addressing a wide range of water issues

Provides real-world applications and case studies using advanced spectral and spatial sensors combined with geospatially facilitated water process models

Details applications of ArcInfo/ArcGIS, Google Earth Engine, and other systems using advanced remote sensors, including hyperspectral ER2 AVIRIS, Sentinel-1 and -2, MODIS, Landsat 7 ETM+, Landsat 8 OLI and TIPS, SAR radar, and thermal imaging

Global in coverage with applications contributed by more than 170 authors with lifelong expertise in water sciences and engineering

This handbook is a wide-ranging and contemporary reference of advanced geospatial techniques used in numerous practical applications at the local and regional scales and is an in-depth resource for professionals and the water research community worldwide.

Volume III of Geospatial Information Handbook for Water Resources and Watershed Management discusses water and watershed issues such as water quality, evapotranspiration, water resource management, and ecological services.

Featured is a two-stage ditch and river geomorphology case study section with related water geospatial applications, including historical image analyses of floodplains and channels and resulting change in river geomorphology through erosion and transport and influence on dependent vegetation communities.

Captures advanced Geospatial Technologies (GT) and their applications to address a wide spectrum of water issues

Provides real-world two-stage ditch and river geomorphology case studies using river, stream and channel measures and change models, and bankfull discharge modeling

Global in coverage with applications demonstrated by more than 170 experts in water sciences and two-stage ditch and river geomorphology

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.

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.

Volume I of Geospatial Information Handbook for Water Resources and Watershed Management discusses fundamental characteristics, measurements, and analyses of water features and watersheds including lakes and reservoirs, rivers and streams, and coasts and estuaries. It presents contemporary knowledge on Geospatial Technology (GT)–supported functional analyses of water runoff, storage and balance, flooding and floodplains, water quality, soils and moisture, climate vulnerabilities, and ecosystem services.

Captures advanced Geospatial Technologies (GTs) addressing a wide range of water issues

Provides real-world applications and case studies using advanced spectral and spatial sensors combined with geospatially facilitated water process models

Details applications of ArcInfo/ArcGIS, Google Earth Engine, and other systems using advanced remote sensors, including hyperspectral ER2 AVIRIS, Sentinel-1 and -2, MODIS, Landsat 7 ETM+, Landsat 8 OLI and TIPS, SAR radar, and thermal imaging

Global in coverage with applications contributed by more than 170 authors with lifelong expertise in water sciences and engineering

This handbook is a wide-ranging and contemporary reference of advanced geospatial techniques used in numerous practical applications at the local and regional scales and is an in-depth resource for professionals and the water research community worldwide.

Volume III of Geospatial Information Handbook for Water Resources and Watershed Management discusses water and watershed issues such as water quality, evapotranspiration, water resource management, and ecological services.

Featured is a two-stage ditch and river geomorphology case study section with related water geospatial applications, including historical image analyses of floodplains and channels and resulting change in river geomorphology through erosion and transport and influence on dependent vegetation communities.

Captures advanced Geospatial Technologies (GT) and their applications to address a wide spectrum of water issues

Provides real-world two-stage ditch and river geomorphology case studies using river, stream and channel measures and change models, and bankfull discharge modeling

Global in coverage with applications demonstrated by more than 170 experts in water sciences and two-stage ditch and river geomorphology

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.

This multivolume handbook is the most comprehensive and updated reference of advanced geospatial techniques for water resource and watershed management. It addresses complex solutions that appear in individual articles but require an exhaustive search for assimilation. By assembling these tremendous advances in an expertly curated resource and making it available in depth to professionals and the water research community worldwide, this successful vehicle will help readers in elevating the quality and variety of water research and solutions. A broad range of authors, specialties, sources, institutions, countries, and continents showcase exemplary approaches and capabilities for the 21st century.

Volume I of Geospatial Information Handbook for Water Resources and Watershed Management discusses fundamental characteristics, measurements, and analyses of water features and watersheds including lakes and reservoirs, rivers and streams, and coasts and estuaries. It presents contemporary knowledge on Geospatial Technology (GT)–supported functional analyses of water runoff, storage and balance, flooding and floodplains, water quality, soils and moisture, climate vulnerabilities, and ecosystem services. Captures advanced Geospatial Technologies (GTs) addressing a wide range of water issues Provides real-world applications and case studies using advanced spectral and spatial sensors combined with geospatially facilitated water process models Details applications of ArcInfo/ArcGIS, Google Earth Engine, and other systems using advanced remote sensors, including hyperspectral ER2 AVIRIS, Sentinel-1 and -2, MODIS, Landsat 7 ETM+, Landsat 8 OLI and TIPS, SAR radar, and thermal imaging Global in coverage with applications contributed by more than 170 authors with lifelong expertise in water sciences and engineeringThis handbook is a wide-ranging and contemporary reference of advanced geospatial techniques used in numerous practical applications at the local and regional scales and is an in-depth resource for professionals and the water research community worldwide.

This multivolume handbook is the most comprehensive and updated reference of advanced geospatial techniques for water resource and watershed management. It addresses complex solutions that appear in individual articles but require an exhaustive search for assimilation. By assembling these tremendous advances in an expertly curated resource and making it available in depth to professionals and the water research community worldwide, this successful vehicle will help readers in elevating the quality and variety of water research and solutions. A broad range of authors, specialties, sources, institutions, countries, and continents showcase exemplary approaches and capabilities for the 21st century.

Volume I of Geospatial Information Handbook for Water Resources and Watershed Management discusses fundamental characteristics, measurements, and analyses of water features and watersheds including lakes and reservoirs, rivers and streams, and coasts and estuaries. It presents contemporary knowledge on Geospatial Technology (GT)–supported functional analyses of water runoff, storage and balance, flooding and floodplains, water quality, soils and moisture, climate vulnerabilities, and ecosystem services. Captures advanced Geospatial Technologies (GTs) addressing a wide range of water issues Provides real-world applications and case studies using advanced spectral and spatial sensors combined with geospatially facilitated water process models Details applications of ArcInfo/ArcGIS, Google Earth Engine, and other systems using advanced remote sensors, including hyperspectral ER2 AVIRIS, Sentinel-1 and -2, MODIS, Landsat 7 ETM+, Landsat 8 OLI and TIPS, SAR radar, and thermal imaging Global in coverage with applications contributed by more than 170 authors with lifelong expertise in water sciences and engineeringThis handbook is a wide-ranging and contemporary reference of advanced geospatial techniques used in numerous practical applications at the local and regional scales and is an in-depth resource for professionals and the water research community worldwide.

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 worldThis 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.

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 worldThis 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.

Volume III of Geospatial Information Handbook for Water Resources and Watershed Management discusses water and watershed issues such as water quality, evapotranspiration, water resource management, and ecological services.Featured is a two-stage ditch and river geomorphology case study section with related water geospatial applications, including historical image analyses of floodplains and channels and resulting change in river geomorphology through erosion and transport and influence on dependent vegetation communities. Captures advanced Geospatial Technologies (GT) and their applications to address a wide spectrum of water issues Provides real-world two-stage ditch and river geomorphology case studies using river, stream and channel measures and change models, and bankfull discharge modeling Global in coverage with applications demonstrated by more than 170 experts in water sciences and two-stage ditch and river geomorphologyThis 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.

Volume III of Geospatial Information Handbook for Water Resources and Watershed Management discusses water and watershed issues such as water quality, evapotranspiration, water resource management, and ecological services.Featured is a two-stage ditch and river geomorphology case study section with related water geospatial applications, including historical image analyses of floodplains and channels and resulting change in river geomorphology through erosion and transport and influence on dependent vegetation communities. Captures advanced Geospatial Technologies (GT) and their applications to address a wide spectrum of water issues Provides real-world two-stage ditch and river geomorphology case studies using river, stream and channel measures and change models, and bankfull discharge modeling Global in coverage with applications demonstrated by more than 170 experts in water sciences and two-stage ditch and river geomorphologyThis 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.

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.

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.

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.

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.

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.

The late Professor Reds Wolman in his Foreword to the award-winning second edition said, "This is not your ordinary textbook. Environmental Hydrology is indeed a textbook, but five elements often found separately combine here in one text to make it different. It is eclectic, practical, in places a handbook, a guide to fieldwork, engagingly personal

Wetlands are, by their very nature, ephemeral and transitional, which makes them challenging to characterize. Yet the need for characterizing wetlands continues to grow, particularly as we develop a better understanding of the wealth of ecosystem services that they provide. This book provides practical tools and methods to help practitioners more effectively locate, identify, and map the extent of wetlands, and therefore better understand the importance of wetlands to society and the larger landscape. The authors address jurisdictional, regulatory, and practical applications from the scientific, engineering, and lay perspectives. Numerous techniques, examples, figures, and lessons learned supply the ideas and solutions needed for solving the complex issues associated with wetlands. This second edition has been updated throughout and includes more techniques, examples, and illustrations.

Increases in populations have created an increasing demand for food crops while increases in demand for biofuels have created an increase in demand for fuel crops. What has not increased is the amount of croplands and their productivity. These and many other factors such as decreasing water resources in a changing climate have created a crisis like

Wetland identification, although theoretically straightforward, is not cut and dry as a practice. Despite the time and expense, it is an economic and environmental necessity. The Definitive Guide to the Practice of Wetland IdentificationThe second edition of the bestselling Practical Handbook for Wetland Identification and Delineation offers soluti