Remote Sensing Of Global Croplands For Food Security

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Remote Sensing of Global Croplands for Food Security

Author : Prasad Thenkabail,John G. Lyon,Hugh Turral,Chandrashekhar Biradar
Publisher : CRC Press
Page : 556 pages
File Size : 51,8 Mb
Release : 2009-06-24
Category : Technology & Engineering
ISBN : 1420090100

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Remote Sensing of Global Croplands for Food Security by Prasad Thenkabail,John G. Lyon,Hugh Turral,Chandrashekhar Biradar Pdf

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 situation in global food security. Decision makers in these situations need accurate information based on science. Remote Sensing of Global Croplands for Food Security provides a comprehensive knowledge base in use of satellite sensor-based maps and statistics that can be used to develop strategies for croplands (irrigated and rainfed) and their water use for food security. Over 50 Multi-disciplinary Global Experts Give Insight and Provide Practical Approaches Emphasizing practical mapping technologies based on advanced remote sensing data and methods, this book provides approaches for estimating irrigated and rainfed cropland areas and their water use on a national, continental, or global basis. Written by 50+ leading experts working at the forefront of this critical area, it offers case studies from a variety of continents highlighting the subtle requirements of each. In a very practical way it demonstrates the experience, utility, and models for determining water resources used and resulting yields of irrigated and rainfed croplands. The authors discuss: (a) innovative methods used for mapping croplands, (b) approaches adopted to collect cropland data in different countries by traditional and non-traditional means, (c) accuracies, uncertainties, and errors involved in producing cropland products, (d) surface energy balance models used to assess crop water use, and (e) extensive results and outcomes pertaining to global croplands and their water use. Develop Strategies for an Enhanced Green Revolution and an Accelerated Blue Revolution Linking croplands to water use and food security, the book provides a global perspective on this sensitive issue. It gives insight into the extent of cropland usage, their spatial distribution, their cropping intensities, and their water use patterns. The editors collect the experience, methods, models, and results that show the way forward and help in decision-making on water resources and food security. All of this is required for developing strategies for an enhanced green revolution and for an accelerated blue revolution.

Remote Sensing Handbook, Volume III

Author : Prasad S Thenkabail
Publisher : Unknown
Page : 0 pages
File Size : 52,5 Mb
Release : 2024-11-28
Category : Computers
ISBN : 1032891017

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Remote Sensing Handbook, Volume III by Prasad S Thenkabail Pdf

Volume III of the Remote Sensing Handbook, Second Edition, is focused on agriculture, food security, vegetation, phenology, rangelands, soils, and global biomass modeling, mapping, and monitoring using multi-sensor remote sensing. This book is an essential resource for researchers at all levels interested in using remote sensing.

Contributions of Land Remote Sensing for Decisions About Food Security and Human Health

Author : National Research Council,Division on Earth and Life Studies,Board on Earth Sciences and Resources,Geographical Sciences Committee,Committee on the Earth System Science for Decisions About Human Welfare: Contributions of Remote Sensing
Publisher : National Academies Press
Page : 112 pages
File Size : 43,6 Mb
Release : 2007-01-13
Category : Social Science
ISBN : 9780309102957

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Contributions of Land Remote Sensing for Decisions About Food Security and Human Health by National Research Council,Division on Earth and Life Studies,Board on Earth Sciences and Resources,Geographical Sciences Committee,Committee on the Earth System Science for Decisions About Human Welfare: Contributions of Remote Sensing Pdf

Land remote sensing: the use of space-based satellite technologies to obtain information on environmental variables such as land-use and land-covering combination with other types of data can provide information on changes in the Earth's surface and atmosphere that are critical for forecasting and responding to human welfare issues, such as disease outbreaks, food shortages, and floods. This book summarizes a workshop on the potential contributions of remotely sensed data to land-use and land-cover change and ways to use physical, biological, temporal, and social characteristics of particular locations to support decisions about human welfare. The discussions focused on human health and food security, two aspects of human welfare in which remotely-sensed environmental conditions play a key role. Examples illustrating the possibilities for applying remote sensing for societal benefit are included throughout the report. As a result of the workshop, three themes were identified that, if fostered, could help realize the potential for the application of land remote sensing to decisions about human welfare: (1) integration of spatial data on environmental conditions derived from remote sensing with socioeconomic data; (2) communication between remote sensing scientists and decision makers to determine effective use of land remote sensing data for human welfare issues; and (3) acquisition and access to long-term environmental data and development of capacity to interpret these data.

Remote Sensing Handbook - Three Volume Set

Author : Prasad Thenkabail
Publisher : CRC Press
Page : 2304 pages
File Size : 55,9 Mb
Release : 2018-10-03
Category : Technology & Engineering
ISBN : 9781482282672

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Remote Sensing Handbook - Three Volume Set by Prasad Thenkabail Pdf

A volume in the three-volume Remote Sensing Handbook series, Remote Sensing of Water Resources, Disasters, and Urban Studies documents the scientific and methodological advances that have taken place during the last 50 years. The other two volumes in the series are Remotely Sensed Data Characterization, Classification, and Accuracies, and Land Reso

Land Resources Monitoring, Modeling, and Mapping with Remote Sensing

Author : Ph.D., Prasad S. Thenkabail
Publisher : CRC Press
Page : 869 pages
File Size : 41,6 Mb
Release : 2015-10-02
Category : Technology & Engineering
ISBN : 9781482217988

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Land Resources Monitoring, Modeling, and Mapping with Remote Sensing by Ph.D., Prasad S. Thenkabail Pdf

A volume in the three-volume Remote Sensing Handbook series, Land Resources Monitoring, Modeling, and Mapping with Remote Sensing documents the scientific and methodological advances that have taken place during the last 50 years. The other two volumes in the series are Remotely Sensed Data Characterization, Classification, and Accuracies, and Remo

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

Author : Prasad S. Thenkabail,John G. Lyon,Alfredo Huete
Publisher : CRC Press
Page : 1637 pages
File Size : 40,7 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.

Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation

Author : Prasad S. Thenkabail,John G. Lyon,Alfredo Huete
Publisher : CRC Press
Page : 385 pages
File Size : 49,9 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.

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

Author : Prasad S. Thenkabail,John G. Lyon,Alfredo Huete
Publisher : CRC Press
Page : 449 pages
File Size : 40,5 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.

Biophysical and Biochemical Characterization and Plant Species Studies

Author : Prasad S. Thenkabail,John G. Lyon,Alfredo Huete
Publisher : CRC Press
Page : 348 pages
File Size : 47,7 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.

Hyperspectral Indices and Image Classifications for Agriculture and Vegetation

Author : Prasad S. Thenkabail,John G. Lyon,Alfredo Huete
Publisher : CRC Press
Page : 333 pages
File Size : 47,7 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.

Advances in Environmental Remote Sensing

Author : Qihao Weng
Publisher : CRC Press
Page : 610 pages
File Size : 53,9 Mb
Release : 2011-02-16
Category : Technology & Engineering
ISBN : 9781420091816

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Advances in Environmental Remote Sensing by Qihao Weng Pdf

Generating a satisfactory classification image from remote sensing data is not a straightforward task. Many factors contribute to this difficulty including the characteristics of a study area, availability of suitable remote sensing data, ancillary and ground reference data, proper use of variables and classification algorithms, and the analyst's e

Remote Sensing of Water Resources, Disasters, and Urban Studies

Author : Ph.D., Prasad S. Thenkabail
Publisher : CRC Press
Page : 695 pages
File Size : 46,8 Mb
Release : 2015-10-02
Category : Technology & Engineering
ISBN : 9781482217926

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Remote Sensing of Water Resources, Disasters, and Urban Studies by Ph.D., Prasad S. Thenkabail Pdf

This book is the most comprehensive documentation of the scientific and methodological advances that have taken place in understanding remote sensing data, methods, and applications over last 50 years. In a very practical way it demonstrates the experience, utility, methods and models used in studying a wide array of water applications. There are more than 100 leading global experts in the field contributing to this work.

Remotely Sensed Data Characterization, Classification, and Accuracies

Author : Ph.D., Prasad S. Thenkabail
Publisher : CRC Press
Page : 698 pages
File Size : 42,5 Mb
Release : 2015-10-02
Category : Technology & Engineering
ISBN : 9781482217872

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Remotely Sensed Data Characterization, Classification, and Accuracies by Ph.D., Prasad S. Thenkabail Pdf

A volume in the Remote Sensing Handbook series, Remotely Sensed Data Characterization, Classification, and Accuracies documents the scientific and methodological advances that have taken place during the last 50 years. The other two volumes in the series are Land Resources Monitoring, Modeling, and Mapping with Remote Sensing, and Remote Sensing of

Remote Sensing of Agriculture and Land Cover/Land Use Changes in South and Southeast Asian Countries

Author : Krishna Prasad Vadrevu,Thuy Le Toan,Shibendu Shankar Ray,Chris Justice
Publisher : Springer Nature
Page : 618 pages
File Size : 45,6 Mb
Release : 2022-03-28
Category : Technology & Engineering
ISBN : 9783030923655

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Remote Sensing of Agriculture and Land Cover/Land Use Changes in South and Southeast Asian Countries by Krishna Prasad Vadrevu,Thuy Le Toan,Shibendu Shankar Ray,Chris Justice Pdf

This book sheds new light on the remote sensing of agriculture in South/Southeast Asian (S/SEA) countries. S/SEA countries are growing rapidly in terms of population, industrialization, and urbanization. One of the critical challenges in the region is food security. In S/SEA, although total food production and productivity have increased in previous decades, in recent years, the growth rate of food production has slowed down, mostly due to land use change, market forces and policy interventions. Further, the weather and climate systems in the region driven primarily by monsoon variability are resulting in droughts or flooding, impacting agricultural production. Therefore, monitoring crops, including agricultural land cover changes at regular intervals, is essential to predict and prepare for disruptions in the food supply in the S/SEA countries. The current book captures the latest research on the remote sensing of agricultural land cover/ land use changes, including mapping and monitoring crops, crop yields, biophysical parameter retrievals, multi-source data fusion for agricultural applications, and chapters on decision making and early warning systems for food security. The authors of this book are international experts in the field, and their contributions highlight the use of remote sensing and geospatial technologies for agricultural research and applications in South/Southeast Asia.

Remote Sensing for Food Security

Author : Felix Kogan
Publisher : Springer
Page : 255 pages
File Size : 44,6 Mb
Release : 2018-10-27
Category : Technology & Engineering
ISBN : 9783319962566

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Remote Sensing for Food Security by Felix Kogan Pdf

This volume gathers a variety of applications for remote sensing of vegetation health (VH) and concretely shows how this information can be used in service of ending hunger and of ensuring future food security. In this book’s ten chapters, Dr. Felix Kogan, one of the most prolific scientists in this sphere, shows how a new VH method, designed from operational environmental satellite data, can be used to provide advanced predictions of agricultural losses, helping to enhance food security and reducing the number of hungry people. Topics covered include the scientific basis of the VH method, drought monitoring, prediction of short-term agricultural yield and crop insurance, and impacts of long term climate variability and change on food security. A short discussion on VH for human health-related topics such as detection and prediction of malaria and fire risk is included as well.