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.

section Section I|1 pages

Detecting Crop Management Practices, Plant Stress, and Disease

chapter 1|33 pages

Using Hyperspectral Data in Precision Farming Applications

ByHaibo Yao, Yanbo Huang, Lie Tang, Lei Tian, Deepak Bhatnagar, Thomas E. Cleveland

chapter 2|12 pages

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

ByJianlong Li, Jingjing Zhang, Chunliu Tao, Dehua Zhao, Chengcheng Gang

section Section II|1 pages

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

chapter 4|10 pages

Mapping the Distribution and Abundance of Flowering Plants Using Hyperspectral Sensing

ByTobias Landmann, Hannes Feilhauer, Miaogen Shen, Jin Chen, Suresh Raina

chapter 5|18 pages

Crop Water Productivity Estimation with Hyperspectral Remote Sensing

ByMichael Marshall, Itiya Aneece, Daniel Foley, Cai Xueliang, Trent Biggs

chapter 6|33 pages

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

ByPamela Lynn Nagler, B. B. Maruthi Sridhar, Aaryn Dyami Olsson, Willem J. D. van Leeuwen, Edward P. Glenn

chapter 7|14 pages

Hyperspectral Applications to Landscape Phenology

ByAlfredo Huete, Werapong Koedsin, Jin Wu

section Section III|1 pages

Land Cover, Forests, and Wetland and Urban Applications Using Hyperspectral Data

chapter 8|27 pages

The Use of Hyperspectral Earth Observation Data for Land Use/Cover ClassificationPresent Status, Challenges, and Future Outlook

ByPrem Chandra Pandey, Kiril Manevski, Prashant K. Srivastava, George P. Petropoulos

chapter 9|21 pages

Hyperspectral Remote Sensing for Forest Management

ByValerie Thomas

chapter 10|21 pages

Characterization of Pastures Using Field and Imaging Spectrometers

ByIzaya Numata

chapter 11|27 pages

Hyperspectral Remote Sensing of Wetland Vegetation

ByElijah Ramsey, Amina Rangoonwala

section Section IV|1 pages

Thermal, SWIR, and Visible Remote Sensing

chapter 12|30 pages

Hyperspectral Remote Sensing of FireA Review

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

section Section V|1 pages

Hyperspectral Data in Global Change Studies

chapter 13|18 pages

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

ByTomoaki Miura, Hiroki Yoshioka

section Section VI|1 pages

Hyperspectral Remote Sensing of Other Planets

chapter 14|35 pages

Hyperspectral Analysis of Rocky Surfaces on Earth and Other Planetary Bodies

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

section Section VII|1 pages


chapter 15|40 pages

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
ByPrasad S. Thenkabail, John G. Lyon, Alfredo Huete