Mapping tropical forest structure in southeastern Madagascar using remote sensing and artificial neural networks-Reference-Cited by-同舟云学术

Mapping tropical forest structure in southeastern Madagascar using remote sensing and artificial neural networks

Published:2005-02 Issue:4 Volume:94 Page:491-507
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Ingram J. Carter,Dawson Terence P.,Whittaker Robert J.

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference81 articles.

1. A quantitative relationship between forest growth rates and Thematic Mapper reflectance measurements;Ahern;International Journal of Remote Sensing,1991

2. Askew, R. (2001). An investigation into plant composition and structure of highly fragmented degraded forests of southeastern Madagascar. Unpublished BS Final Honours Project thesis. Department of Zoology, University of Oxford.

3. Biophysical and biochemical sources of variability in canopy reflectance;Asner;Remote Sensing of Environment,1998

4. Remote sensing of selective logging in Amazonia: Assessing limitations based on detailed field observations, Landsat ETM+, and textural analysis;Asner;Remote Sensing of Environment,2002

5. Use of spectral reflectance variation to retrieve canopy biophysical characteristics;Baret,1995

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