Forest biophysical and biochemical properties from hyperspectral and LiDAR remote sensing

Gregory P. Asner; Susan L. Ustin; Philip A. Townsend; Roberta E. Martin; K. Dana Chadwick

doi:10.1201/b19322

Forest biophysical and biochemical properties from hyperspectral and LiDAR remote sensing

Gregory P. Asner, Susan L. Ustin, Philip A. Townsend, Roberta E. Martin, K. Dana Chadwick

Research output: Chapter in Book/Report/Conference proceeding › Chapter

16 Scopus citations

Abstract

Forests store about three-quarters of all carbon stocks in vegetation in the terrestrial biosphere and harbor an array of organisms that comprise most of this carbon (IPCC 2000). The distribution of carbon and biodiversity in forests is spatially and temporally heterogeneous. The complex, 3D arrangement of plant species and their tissues has always challenged field-based studies of forests. Remote sensing has long endeavored to address these challenges by mapping the cover, structure, composition, and functional attributes of forests, and new approaches are continually being developed to increase the breadth and accuracy of remote measurements.

Original language	English (US)
Title of host publication	Land Resources Monitoring, Modeling, and Mapping with Remote Sensing
Publisher	CRC Press
Pages	429-448
Number of pages	20
ISBN (Electronic)	9781482217988
ISBN (Print)	9781482217957
DOIs	https://doi.org/10.1201/b19322
State	Published - Jan 1 2015
Externally published	Yes

ASJC Scopus subject areas

General Engineering
General Environmental Science
General Earth and Planetary Sciences

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10.1201/b19322

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AU - Ustin, Susan L.

AU - Townsend, Philip A.

AU - Martin, Roberta E.

AU - Chadwick, K. Dana

PY - 2015/1/1

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AB - Forests store about three-quarters of all carbon stocks in vegetation in the terrestrial biosphere and harbor an array of organisms that comprise most of this carbon (IPCC 2000). The distribution of carbon and biodiversity in forests is spatially and temporally heterogeneous. The complex, 3D arrangement of plant species and their tissues has always challenged field-based studies of forests. Remote sensing has long endeavored to address these challenges by mapping the cover, structure, composition, and functional attributes of forests, and new approaches are continually being developed to increase the breadth and accuracy of remote measurements.

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Forest biophysical and biochemical properties from hyperspectral and LiDAR remote sensing

Abstract

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