Tree biodiversity in protected and logged Bornean tropical rain forest and it’s measurement by satellite remote sensing
Tree biodiversity in protected and logged Bornean tropical rain forest and it’s measurement by satellite remote sensing
Conservation activities have increasingly focused on issues at the level of the landscape but are constrained by limited data and knowledge relating to biodiversity at this scale. Satellite remote sensing has considerable, but under-exploited, potential as a source of information on biodiversity at the landscape level. Remote sensing has generally been used to assess biodiversity indirectly, using approaches that often fail to fully exploit the information content of the imagery and typically only with regard to the species richness component of biodiversity. The aim of this paper was to assess the potential of remote sensing as a source of information on the richness, evenness and composition of tree species in a tropical rain forest.
Rain forest, richness, evenness, species composition, remote sensing, neural network.
1053-1066
Foody, G.M.
06e50027-603d-4a5b-88f5-af2bb6235a37
Cutler, M.E.J.
fc31df96-3cf1-42fb-9892-338ccbce6bf1
July 2003
Foody, G.M.
06e50027-603d-4a5b-88f5-af2bb6235a37
Cutler, M.E.J.
fc31df96-3cf1-42fb-9892-338ccbce6bf1
Foody, G.M. and Cutler, M.E.J.
(2003)
Tree biodiversity in protected and logged Bornean tropical rain forest and it’s measurement by satellite remote sensing.
Journal of Biogeography, 30 (7), .
(doi:10.1046/j.1365-2699.2003.00887.x).
Abstract
Conservation activities have increasingly focused on issues at the level of the landscape but are constrained by limited data and knowledge relating to biodiversity at this scale. Satellite remote sensing has considerable, but under-exploited, potential as a source of information on biodiversity at the landscape level. Remote sensing has generally been used to assess biodiversity indirectly, using approaches that often fail to fully exploit the information content of the imagery and typically only with regard to the species richness component of biodiversity. The aim of this paper was to assess the potential of remote sensing as a source of information on the richness, evenness and composition of tree species in a tropical rain forest.
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Published date: July 2003
Keywords:
Rain forest, richness, evenness, species composition, remote sensing, neural network.
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Local EPrints ID: 14541
URI: http://eprints.soton.ac.uk/id/eprint/14541
ISSN: 0305-0270
PURE UUID: c08a0134-8ea3-40c4-a61f-2462d4fcf296
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Date deposited: 22 Feb 2005
Last modified: 15 Mar 2024 05:26
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Author:
G.M. Foody
Author:
M.E.J. Cutler
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