Hyperspectral Remote Sensing

Hyperspectral Remote Sensing
Author: Ruiliang Pu
Publsiher: CRC Press
Total Pages: 466
Release: 2017-08-16
ISBN 10: 1498731600
ISBN 13: 9781498731607
Language: EN, FR, DE, ES & NL

Hyperspectral Remote Sensing Book Review:

Advanced imaging spectral technology and hyperspectral analysis techniques for multiple applications are the key features of the book. This book will present in one volume complete solutions from concepts, fundamentals, and methods of acquisition of hyperspectral data to analyses and applications of the data in a very coherent manner. It will help readers to fully understand basic theories of HRS, how to utilize various field spectrometers and bioinstruments, the importance of radiometric correction and atmospheric correction, the use of analysis, tools and software, and determine what to do with HRS technology and data.

Hyperspectral Remote Sensing

Hyperspectral Remote Sensing
Author: Prem Chandra Pandey,Prashant K. Srivastava,Heiko Balzter,Bimal Bhattacharya,George P. Petropoulos
Publsiher: Elsevier
Total Pages: 506
Release: 2020-08-05
ISBN 10: 0081028954
ISBN 13: 9780081028957
Language: EN, FR, DE, ES & NL

Hyperspectral Remote Sensing Book Review:

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

Hyperspectral Remote Sensing

Hyperspectral Remote Sensing
Author: Marcus Borengasser,William S. Hungate,Russell Watkins
Publsiher: CRC Press
Total Pages: 128
Release: 2007-12-13
ISBN 10: 9781420012606
ISBN 13: 1420012606
Language: EN, FR, DE, ES & NL

Hyperspectral Remote Sensing Book Review:

Land management issues, such as mapping tree species, recognizing invasive plants, and identifying key geologic features, require an understanding of complex technical issues before the best decisions can be made. Hyperspectral remote sensing is one the technologies that can help with reliable detection and identification. Presenting the fundamentals of remote sensing at an introductory level, Hyperspectral Remote Sensing: Principles and Applications explores all major aspects of hyperspectral image acquisition, exploitation, interpretation, and applications. The book begins with several chapters on the basic concepts and underlying principles of remote sensing images. It introduces spectral radiometry concepts, such as radiance, irradiance, flux, and blackbody radiation; covers imaging spectrometers, examining spectral range, full width half maximum (FWHM), resolution, sampling, signal-to-noise ratio (SNR), and multispectral and hyperspectral sensor systems; and addresses atmospheric interactions. The book then discusses information extraction, with chapters covering the underlying physics principles that lead to the creation of an image and the interpretation of the image's information. The final chapters describe case studies that illustrate the use of hyperspectral remote sensing in agriculture, environmental monitoring, forestry, and geology. After reading this book, you will have a better understanding of how to evaluate different approaches to hyperspectral analyses and to determine which approaches will work for your applications.

Hyperspectral Remote Sensing

Hyperspectral Remote Sensing
Author: Michael Theodore Eismann
Publsiher: Society of Photo Optical
Total Pages: 725
Release: 2012-01-01
ISBN 10: 9780819487872
ISBN 13: 0819487872
Language: EN, FR, DE, ES & NL

Hyperspectral Remote Sensing Book Review:

Hyperspectral remote sensing is an emerging, multidisciplinary field with diverse applications that builds on the principles of material spectroscopy, radiative transfer, imaging spectrometry, and hyperspectral data processing. While there are many resources that suitably cover these areas individually and focus on specific aspects of the hyperspectral remote sensing field, this book provides a holistic treatment that thoroughly captures its multidisciplinary nature. The content is oriented toward the physical principles of hyperspectral remote sensing as opposed to applications of hyperspectral technology. Readers can expect to finish the book armed with the required knowledge to understand the immense literature available in this technology area and apply their knowledge to the understanding of material spectral properties, the design of hyperspectral systems, the analysis of hyperspectral imagery, and the application of the technology to specific problems.

Hyperspectral Imaging Remote Sensing

Hyperspectral Imaging Remote Sensing
Author: Dimitris Manolakis,Ronald Lockwood,Thomas Cooley
Publsiher: Cambridge University Press
Total Pages: 720
Release: 2016-10-31
ISBN 10: 1107083664
ISBN 13: 9781107083660
Language: EN, FR, DE, ES & NL

Hyperspectral Imaging Remote Sensing Book Review:

Understand the seminal principles, current techniques, and tools of imaging spectroscopy with this self-contained introductory guide.

Hyperspectral Remote Sensing of Vegetation

Hyperspectral Remote Sensing of Vegetation
Author: Prasad S. Thenkabail,John G. Lyon,Alfredo Huete
Publsiher: CRC Press
Total Pages: 782
Release: 2016-04-19
ISBN 10: 1439845387
ISBN 13: 9781439845387
Language: EN, FR, DE, ES & NL

Hyperspectral Remote Sensing of Vegetation Book Review:

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 Remote Sensing of Agriculture and Vegetation

Hyperspectral Remote Sensing of Agriculture and Vegetation
Author: Simone Pascucci,Stefano Pignatti,Raffaele Casa,Roshanak Darvishzadeh,Wenjiang Huang
Publsiher: MDPI
Total Pages: 266
Release: 2021-01-20
ISBN 10: 3039439073
ISBN 13: 9783039439072
Language: EN, FR, DE, ES & NL

Hyperspectral Remote Sensing of Agriculture and Vegetation Book Review:

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.

Hyperspectral Remote Sensing and Spectral Signature Applications

Hyperspectral Remote Sensing and Spectral Signature Applications
Author: S. Rajendran
Publsiher: New India Publishing
Total Pages: 508
Release: 2009
ISBN 10: 9788189422349
ISBN 13: 8189422340
Language: EN, FR, DE, ES & NL

Hyperspectral Remote Sensing and Spectral Signature Applications Book Review:

Contributed papers presented at the National Seminar on "Hyperspectral Remote Sensing and Spectral Signature Databse Management System," held on February 14-15, 2008 at Annamalai University.

Hyperspectral Remote Sensing of Tropical and Sub Tropical Forests

Hyperspectral Remote Sensing of Tropical and Sub Tropical Forests
Author: Margaret Kalacska,G. Arturo Sanchez-Azofeifa
Publsiher: CRC Press
Total Pages: 352
Release: 2008-02-26
ISBN 10: 1000687511
ISBN 13: 9781000687514
Language: EN, FR, DE, ES & NL

Hyperspectral Remote Sensing of Tropical and Sub Tropical Forests Book Review:

While frequently used in temperate environments, hyperspectral sensors and data are still a novelty in the tropics. Exploring the potential of hyperspectral remote sensing for assessing ecosystem characteristics, Hyperspectral Remote Sensing of Tropical and Sub-Tropical Forests focuses on the complex and unique set of challenges involved in using t

Hyperspectral Remote Sensing

Hyperspectral Remote Sensing
Author: Ruiliang Pu
Publsiher: CRC Press
Total Pages: 135
Release: 2017-08-08
ISBN 10: 9781498731591
ISBN 13: 1498731597
Language: EN, FR, DE, ES & NL

Hyperspectral Remote Sensing Book Review:

Advanced imaging spectral technology and hyperspectral analysis techniques for multiple applications are the key features of the book. This book will present in one volume complete solutions from concepts, fundamentals, and methods of acquisition of hyperspectral data to analyses and applications of the data in a very coherent manner. It will help readers to fully understand basic theories of HRS, how to utilize various field spectrometers and bioinstruments, the importance of radiometric correction and atmospheric correction, the use of analysis, tools and software, and determine what to do with HRS technology and data.

Spectral Spatial Classification of Hyperspectral Remote Sensing Images

Spectral Spatial Classification of Hyperspectral Remote Sensing Images
Author: Jon Atli Benediktsson,Pedram Ghamisi
Publsiher: Artech House
Total Pages: 280
Release: 2015-09-01
ISBN 10: 1608078132
ISBN 13: 9781608078134
Language: EN, FR, DE, ES & NL

Spectral Spatial Classification of Hyperspectral Remote Sensing Images Book Review:

This comprehensive new resource brings you up to date on recent developments in the classification of hyperspectral images using both spectral and spatial information, including advanced statistical approaches and methods. The inclusion of spatial information to traditional approaches for hyperspectral classification has been one of the most active and relevant innovative lines of research in remote sensing during recent years. This book gives you insight into several important challenges when performing hyperspectral image classification related to the imbalance between high dimensionality and limited availability of training samples, or the presence of mixed pixels in the data. This book also shows you how to integrate spatial and spectral information in order to take advantage of the benefits that both sources of information provide.

Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation

Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation
Author: Prasad S. Thenkabail,John G. Lyon,Alfredo Huete
Publsiher: CRC Press
Total Pages: 385
Release: 2018-12-07
ISBN 10: 0429775164
ISBN 13: 9780429775161
Language: EN, FR, DE, ES & NL

Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation Book Review:

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.

Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences

Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences
Author: Michael Vohland,András Jung
Publsiher: MDPI
Total Pages: 218
Release: 2021-05-14
ISBN 10: 3036508783
ISBN 13: 9783036508788
Language: EN, FR, DE, ES & NL

Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences Book Review:

The aim of the Special Issue “Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences” was to present a selection of innovative studies using hyperspectral imaging (HSI) in different thematic fields. This intention reflects the technical developments in the last three decades, which have brought the capacity of HSI to provide spectrally, spatially and temporally detailed data, favoured by e.g., hyperspectral snapshot technologies, miniaturized hyperspectral sensors and hyperspectral microscopy imaging. The present book comprises a suite of papers in various fields of environmental sciences—geology/mineral exploration, digital soil mapping, mapping and characterization of vegetation, and sensing of water bodies (including under-ice and underwater applications). In addition, there are two rather methodically/technically-oriented contributions dealing with the optimized processing of UAV data and on the design and test of a multi-channel optical receiver for ground-based applications. All in all, this compilation documents that HSI is a multi-faceted research topic and will remain so in the future.

Hyperspectral Image Analysis

Hyperspectral Image Analysis
Author: Saurabh Prasad,Jocelyn Chanussot
Publsiher: Springer Nature
Total Pages: 466
Release: 2020-04-27
ISBN 10: 3030386171
ISBN 13: 9783030386177
Language: EN, FR, DE, ES & NL

Hyperspectral Image Analysis Book Review:

This book reviews the state of the art in algorithmic approaches addressing the practical challenges that arise with hyperspectral image analysis tasks, with a focus on emerging trends in machine learning and image processing/understanding. It presents advances in deep learning, multiple instance learning, sparse representation based learning, low-dimensional manifold models, anomalous change detection, target recognition, sensor fusion and super-resolution for robust multispectral and hyperspectral image understanding. It presents research from leading international experts who have made foundational contributions in these areas. The book covers a diverse array of applications of multispectral/hyperspectral imagery in the context of these algorithms, including remote sensing, face recognition and biomedicine. This book would be particularly beneficial to graduate students and researchers who are taking advanced courses in (or are working in) the areas of image analysis, machine learning and remote sensing with multi-channel optical imagery. Researchers and professionals in academia and industry working in areas such as electrical engineering, civil and environmental engineering, geosciences and biomedical image processing, who work with multi-channel optical data will find this book useful.

Hyperspectral Remote Sensing of Pasture Quality

Hyperspectral Remote Sensing of Pasture Quality
Author: Susanne Thulin
Publsiher: LAP Lambert Academic Publishing
Total Pages: 540
Release: 2012-08
ISBN 10: 9783659171758
ISBN 13: 3659171751
Language: EN, FR, DE, ES & NL

Hyperspectral Remote Sensing of Pasture Quality Book Review:

Analysis of data from imaging spectrometers to determine vegetation parameters is a new and emerging field of science. Hyperspectral remote sensing using field spectra, HyMap and Hyperion images are here used to study the feed quality of pastures. Both environmental and economical benefits can be achieved from predictive relationships between hyperspectral data and pasture quality parameters. The research described in this book provides assessments of different analysis methods, including advantages and limitations of different approaches as well as recommendations for future investigations. The work was carried out at three study sites in Victoria, Australia. Results show that there is a clear potential for hyperspectral remote sensing to provide important inputs to management decision system as pasture quality is the third crucial component needed after biomass and growth rate. The book gives both a thourough background to hyperspectral analysis of vegetation to date and a comprehensive introduction to hyperspectral remote sensing of pastures. It should therefore be very of great interest to both students and professionals in the fields of remote sensing and agronomy.

Processing and Analysis of Hyperspectral Data

Processing and Analysis of Hyperspectral Data
Author: Jie Chen,Yingying Song,Hengchao Li
Publsiher: BoD – Books on Demand
Total Pages: 136
Release: 2020-01-22
ISBN 10: 1789851092
ISBN 13: 9781789851090
Language: EN, FR, DE, ES & NL

Processing and Analysis of Hyperspectral Data Book Review:

Hyperspectral imagery has received considerable attention in the last decade as it provides rich spectral information and allows the analysis of objects that are unidentifiable by traditional imaging techniques. It has a wide range of applications, including remote sensing, industry sorting, food analysis, biomedical imaging, etc. However, in contrast to RGB images from which information can be intuitively extracted, hyperspectral data is only useful with proper processing and analysis. This book covers theoretical advances of hyperspectral image processing and applications of hyperspectral processing, including unmixing, classification, super-resolution, and quality estimation with classical and deep learning methods.

Hyperspectral Satellites and System Design

Hyperspectral Satellites and System Design
Author: Shen-En Qian
Publsiher: CRC Press
Total Pages: 602
Release: 2020-04-22
ISBN 10: 0429561172
ISBN 13: 9780429561177
Language: EN, FR, DE, ES & NL

Hyperspectral Satellites and System Design Book Review:

Hyperspectral Satellites and System Design is the first book on this subject. It provides a systematic analysis and detailed design of the entire development process of hyperspectral satellites. Derived from the author’s 25-year firsthand experience as a technical lead of space missions at the Canadian Space Agency, the book offers engineers, scientists, and decision-makers detailed knowledge and guidelines on hyperspectral satellite system design, trade-offs, performance modeling and simulation, optimization from component to system level, subsystem design, and implementation strategies. This information will help reduce the risk, shorten the development period, and lower the cost of hyperspectral satellite missions. This book is a must-have reference for professionals in developing hyperspectral satellites and data applications. It is also an excellent introductory book for early practitioners and students who want to learn more about hyperspectral satellites and their applications.

Hyperspectral Indices and Image Classifications for Agriculture and Vegetation

Hyperspectral Indices and Image Classifications for Agriculture and Vegetation
Author: Prasad S. Thenkabail,John G. Lyon,Alfredo Huete
Publsiher: CRC Press
Total Pages: 296
Release: 2018-12-07
ISBN 10: 1351659243
ISBN 13: 9781351659246
Language: EN, FR, DE, ES & NL

Hyperspectral Indices and Image Classifications for Agriculture and Vegetation Book Review:

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.

Remote Sensing Geology

Remote Sensing Geology
Author: Ravi P. Gupta
Publsiher: Springer Science & Business Media
Total Pages: 656
Release: 2013-06-29
ISBN 10: 3662052830
ISBN 13: 9783662052839
Language: EN, FR, DE, ES & NL

Remote Sensing Geology Book Review:

For nearly three decades there has been a phenomenal growth in the field of Remote Sensing. The second edition of this widely acclaimed book has been fully revised and updated. The reader will find a wide range of information on various aspects of geological remote sensing, ranging from laboratory spectra of minerals and rocks, ground truth, to aerial and space-borne remote sensing. This volume describes the integration of photogeology into remote sensing as well as how remote sensing is used as a tool of geo-exploration. It also covers a wide spectrum of geoscientific applications of remote sensing ranging from meso- to global scale. The subject matter is presented at a basic level, serving students as an introductory text on remote sensing. The main part of the book will also be of great value to active researchers.

Fundamentals Sensor Systems Spectral Libraries and Data Mining for Vegetation

Fundamentals  Sensor Systems  Spectral Libraries  and Data Mining for Vegetation
Author: Prasad S. Thenkabail,John G. Lyon,Alfredo Huete
Publsiher: CRC Press
Total Pages: 449
Release: 2018-12-07
ISBN 10: 1351673297
ISBN 13: 9781351673297
Language: EN, FR, DE, ES & NL

Fundamentals Sensor Systems Spectral Libraries and Data Mining for Vegetation Book Review:

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.