Hyperspectral remote sensing for estimating biophysical parameters of forest ecosystems-Reference-Cited by-同舟云学术

Hyperspectral remote sensing for estimating biophysical parameters of forest ecosystems

Published:1999-09 Issue:3 Volume:23 Page:359-390
ISSN:0309-1333
Container-title:Progress in Physical Geography: Earth and Environment
language:en
Short-container-title:Progress in Physical Geography: Earth and Environment

Author:

Treitz Paul M.¹,Howarth Philip J.²

Affiliation:

1. Department of Geography, Faculty of Arts and Sciences, Queen’s University, Kingston, Ontario K7L 3N6, Canada

2. Department of Geography, Faculty of Environmental Studies, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada

Abstract

Remote sensing has demonstrated wide applicability in the area of estimating and mapping forest physical and structural features. Focus in recent years has been directed towards measuring the biophysical/physiological character of forest ecosystems in order to estimate and predict forest ecosystem health and sustainability. The following reviews the relationship between forest condition and reflectance; remote-sensing measurements (and derivatives) that provide biophysical/physiological information; and the potential of hyperspectral sensors in the measurement of these parameters.

Publisher

SAGE Publications

Subject

General Earth and Planetary Sciences,Earth and Planetary Sciences (miscellaneous),Geography, Planning and Development

Link

http://journals.sagepub.com/doi/pdf/10.1177/030913339902300303

Reference223 articles.

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3. Hyperspectral image compression using entropy-constrained predictive trellis coded quantization

4. Modeling bidirectional radiance measurements collected by the advanced Solid-State Array Spectroradiometer (ASAS) over oregon transect conifer forests

5. Characterization of wetland plant stress using leaf spectral reflectance: Implications for wetland remote sensing

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