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Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation

Hyperspectral Remote Sensing of Vegetation Second Edition Volume IV

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

Print publication date:  December  2018
Online publication date:  December  2018

Print ISBN: 9781138364769
eBook ISBN: 9780429431166
Adobe ISBN:

10.1201/9780429431166
 Cite  Marc Record

Book description

<P>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.</P><B><I> <P>Volume IV, Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation</B></I> 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.</P> <P></P> <P><STRONG>Key Features of Volume IV:</STRONG></P> <P></P> <UL> <P> <LI>Guides readers to harness the capabilities of the most recent advances in applying hyperspectral remote sensing technology to the study of terrestrial vegetation.</LI> <P></P> <P> <LI>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.</LI> <P></P> <P> <LI>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.</LI> <P></P> <P> <LI>Explains the implementation of hyperspectral remote sensing data processing mechanisms in a standard, fast, and efficient manner for their applications.</LI> <P></P> <P> <LI>Discusses cloud computing to overcome hyperspectral remote sensing massive big data challenges.</LI> <P></P> <LI>Provides hyperspectral analysis of rocky surfaces on the earth and other planetary systems.</LI></UL>

Table of contents

Chapter  1:  Using Hyperspectral Data in Precision Farming Applications Download PDF
Chapter  2:  Hyperspectral Narrowbands and Their Indices in Study of Nitrogen Content of Cotton Crops Download PDF
Chapter  3:  Analysis of the Effects of Heavy Metals on Vegetation Hyperspectral Reflectance Properties Download PDF
Chapter  4:  Mapping the Distribution and Abundance of Flowering Plants Using Hyperspectral Sensing Download PDF
Chapter  5:  Crop Water Productivity Estimation with Hyperspectral Remote Sensing Download PDF
Chapter  6:  Hyperspectral Remote Sensing Tools for Quantifying Plant Litter and Invasive Species in Arid Ecosystems Download PDF
Chapter  7:  Hyperspectral Applications to Landscape Phenology Download PDF
Chapter  8:  The Use of Hyperspectral Earth Observation Data for Land Use/Cover ClassificationPresent Status, Challenges, and Future Outlook Download PDF
Chapter  9:  Hyperspectral Remote Sensing for Forest Management Download PDF
Chapter  10:  Characterization of Pastures Using Field and Imaging Spectrometers Download PDF
Chapter  11:  Hyperspectral Remote Sensing of Wetland Vegetation Download PDF
Chapter  12:  Hyperspectral Remote Sensing of FireA Review Download PDF
Chapter  13:  Hyperspectral Data in Long-Term, Cross-Sensor Continuity Studies Download PDF
Chapter  14:  Hyperspectral Analysis of Rocky Surfaces on Earth and Other Planetary Bodies Download PDF
Chapter  15:  Fifty Years of Advances in Hyperspectral Remote Sensing of Agriculture and Vegetation—Summary, Insights, and Highlights of Volume IV Download PDF
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