Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation: 2nd Edition (Hardback) book cover

Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation

2nd Edition

Edited by Prasad S. Thenkabail, John G. Lyon, Alfredo Huete

CRC Press

385 pages | 95 Color Illus. | 47 B/W Illus.

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Description

Written by leading global experts, including pioneers in the field, the four-volume set on Hyperspectral Remote Sensing of Vegetation, Second Edition, reviews existing state-of-the-art knowledge, highlights advances made in different areas, and provides guidance for the appropriate use of hyperspectral data in the study and management of agricultural crops and natural vegetation.

Volume 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.

Reviews

"Very comprehensive and an excellent reference, both for practitioners in the field as well as students hoping to learn more about the uses of Hyperspectral Data for characterizing a diverse set of vegetation…There are books by other authors on Hyperspectral approaches and vegetation characterization(non-hyperspectral), but I believe this book stands alone as the final word on Hyperspectral characterization of vegetation. In fact, all the premier works in literature on Hyperspectral characterization of vegetation have been authored by Thenkabail et al.!"

--Dr. Thomas George, CEO, SaraniaSat Inc.

"The publication of the four-volume set, Hyperspectral Remote Sensing of Vegetation, Second Edition, is a landmark effort in providing an important, valuable, and timely contribution that summarizes the state of spectroscopy-based understanding of the Earth’s terrestrial and near shore environments."

--Susan L. Ustin, John Muir Institute

"The second edition of the book is major revision effort and covers all the aspects most descriptively and explicitly for the students, academia and professionals across the discipline. The book provides breadth of innovative applications of mathematical techniques to extract information from the hyperspectral image data. The chapters are contributed by internationally renowned authors in their respective fields…The hand book Hyperspectral Remote Sensing of Vegetation by Prasad S. Thenkabail, John G. Lyon and Alfredo Huete is most comprehensive, designed for learning and the best book in the discipline today."

--Dr. P.S. Roy, ICRISAT-CGIAR

"This book is an absolute gem. The history, the contemporary and the future of hyperspectral remote sensing of vegetation is contained within these pages. New topics on data mining and machine learning are hugely helpful to understand how scientists can go about processing these massive data sets. With great societal challenges such as food security, sustainability, deforestation and land use change, the research presented in this book provides clear evidence that hyperspectral remote sensing has an important and valuable role to play.

The book is a great resource for undergraduate, postgraduate students, research and academics. There is something in this book for everyone. I want it on my shelf."

--Prof. Kevin Tansey, Leicester Institute for Space & Earth Observation

Table of Contents

Section I: Detecting Crop Management Practices, Plant Stress, and Disease

1. Using Hyperspectral Data in Precision Farming Applications

[Haibo Yao, Yanbo Huang, Lie Tang, Lei Tian, Deepak Bhatnagar, and Thomas E. Cleveland]

2. Hyperspectral Narrowbands and Their Indices in Study of Nitrogen Content of Cotton Crops

[Jianlong Li, Jingjing Zhang, Chunliu Tao, Dehua Zhao, and Chengcheng Gang]

3. Analysis of the Effects of Heavy Metals on Vegetation Hyperspectral Reflectance Properties

[E. Terrence Slonecker]

Section II: Vegetation Processes and Function (ET, Water Use, GPP, LUE, Phenology)

4. Mapping the Distribution and Abundance of Flowering Plants Using Hyperspectral Sensing

[Tobias Landmann, Hannes Feilhauer, Miaogen Shen, Jin Chen, and Suresh Raina]

5. Crop Water Productivity Estimation with Hyperspectral Remote Sensing

[Michael Marshall, Itiya Aneece, Daniel Foley, Cai Xueliang, and Trent Biggs]

6. Hyperspectral Remote Sensing Tools for Quantifying Plant Litter and Invasive Species in Arid Ecosystems

[Pamela Lynn Nagler, B. B. Maruthi Sridhar, Aaryn Dyami Olsson, Willem J. D. van Leeuwen, and Edward P. Glenn]

7. Hyperspectral Applications to Landscape Phenology

[Alfredo Huete, Werapong Koedsin, and Jin Wu]

Section III: Land Cover, Forests, and Wetland and Urban Applications Using Hyperspectral Data

8. The Use of Hyperspectral Earth Observation Data for Land Use/Cover Classification: Present Status, Challenges, and Future Outlook

[Prem Chandra Pandey, Kiril Manevski, Prashant K. Srivastava, and George P. Petropoulos]

9. Hyperspectral Remote Sensing for Forest Management

[Valerie Thomas]

10. Characterization of Pastures Using Field and Imaging Spectrometers

[Izaya Numata]

11. Hyperspectral Remote Sensing of Wetland Vegetation

[Elijah Ramsey III and Amina Rangoonwala]

  1. Section IV: Thermal, SWIR, and Visible Remote Sensing

12. Hyperspectral Remote Sensing of Fire: A Review

[Sander Veraverbeke, Philip Dennison, Ioannis Gitas, Glynn Hulley, Olga Kalashnikova, Thomas Katagis, Le Kuai, Ran Meng, Dar Roberts, and Natasha Stavros]

  1. Section V: Hyperspectral Data in Global Change Studies

13. Hyperspectral Data in Long-Term, Cross-Sensor Continuity Studies

[Tomoaki Miura and Hiroki Yoshioka]

  1. Section VI: Hyperspectral Remote Sensing of Other Planets

14. Hyperspectral Analysis of Rocky Surfaces on Earth and Other Planetary Bodies

[R. Greg Vaughan, Timothy N. Titus, Jeffrey R. Johnson, Justin J. Hagerty, Laurence A. Soderblom, Paul E. Geissler, David P. Mayer, and Will M. Grundy]

  1. Section VII: Conclusions

15. Fifty Years of Advances in Hyperspectral Remote Sensing of Agriculture and Vegetation—Summary, Insights, and Highlights of Volume IV: Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation

[Prasad S. Thenkabail, John G. Lyon, and Alfredo Huete]

About the Editors

Dr. Prasad S. Thenkabail, Research Geographer-15, U.S. Geological Survey (USGS), is a world-recognized expert in remote sensing science with multiple major contributions in the field sustained over more than 30 years. He obtained his PhD from the Ohio State University in 1992 and has over 140+ peer-reviewed scientific publications. Dr. Thenkabail has conducted pioneering cutting-edge research in the area of hyperspectral remote sensing of vegetation (https://www.usgs.gov/wgsc/GHISA/) and in that of global croplands and their water use for food security (www.croplands.org). Dr. Thenkabail’s contributions to series of leading edited books on remote sensing science along with his research and other contributions in the subject places his as a noted global expert in remote sensing science. He edited three-volume book entitled Remote Sensing Handbook published by Taylor and Francis, with 82 chapters and more than 2000 pages, widely considered a "magnus opus" encyclopedic standard reference for students, scholars, practitioners, and major experts in remote sensing science. He has recently completed editing four-volume Hyperspectral Remote Sensing of Vegetation. He has also edited a book on Remote Sensing of Global Croplands for Food Security. He is currently an editor-in-chief of the Remote Sensing open access journal published by MDPI; an associate editor of the journal Photogrammetric Engineering and Remote Sensing (PERS) of the American Society of Photogrammetry and Remote Sensing (ASPRS); and an editorial advisory board member of the International Society of Photogrammetry and Remote Sensing (ISPRS) Journal of Photogrammetry and Remote Sensing. NASA and USGS selected him on the Landsat Science team (2007-2011). Earlier, he served on the editorial board of Remote Sensing of Environment for many years (2007–2017). He has won three best paper awards from ASPRS for his publications in PE&RS. Detailed bio of Dr. Thenkabail can be found here: https://www.usgs.gov/staff-profiles/prasad-thenkabail

John G. Lyon has conducted scientific and engineering research and administrative functions throughout his career. He is formerly the senior physical scientist in the U.S. Environmental Protection Agency’s Office of Research and Development (ORD) and Office of the Science Advisor in Washington, DC, where he co-led work on the Group on Earth Observations and the USGEO subcommittee of the Committee on Environment and Natural Resources, and research on geospatial issues. Lyon was director of ORD’s Environmental Sciences Division for approximately eight years. He was educated at Reed College in Portland, Oregon, and the University of Michigan in Ann Arbor.

John G. Lyon has conducted scientific and engineering research and administrative functions throughout his career. He is formerly the senior physical scientist in the U.S. Environmental Protection Agency’s Office of Research and Development (ORD) and Office of the Science Advisor in Washington, DC, where he co-led work on the Group on Earth Observations and the USGEO subcommittee of the Committee on Environment and Natural Resources, and research on geospatial issues. Lyon was director of ORD’s Environmental Sciences Division for approximately eight years. He was educated at Reed College in Portland, Oregon, and the University of Michigan in Ann Arbor.

Professor Alfredo Huete leads the Ecosystem Dynamics Health and Resilience research program within the Climate Change Cluster (C3) at the University of Technology Sydney, Australia. His main research interest is in using remote sensing to study and analyze broad scale vegetation health and functioning. Recently, he used remote sensing and field measurements to understand the phenology patterns of tropical rainforests and savannas in the Amazon and Southeast Asia and his Amazon work was featured in a National Geographic television special entitled "The Big Picture". Currently his research involves coupling eddy covariance tower flux measurements with ground spectral sensors and satellite observations to study carbon and water cycling across Australian landscapes. He is actively involved with several international space programs, including the NASA-EOS MODIS Science Team, the Japanese JAXA GCOM-SGLI Science Team, the European PROBA-V User Expert Group, and NPOESS-VIIRS advisory group.

About the Series

Hyperspectral Remote Sensing of Vegetation, Second Edition

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Subject Categories

BISAC Subject Codes/Headings:
SCI011000
SCIENCE / Life Sciences / Botany
SCI019000
SCIENCE / Earth Sciences / General
TEC003000
TECHNOLOGY & ENGINEERING / Agriculture / General
TEC036000
TECHNOLOGY & ENGINEERING / Remote Sensing & Geographic Information Systems