The University of Southampton
University of Southampton Institutional Repository

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
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.
0305-0270
1053-1066
Foody, G.M.
06e50027-603d-4a5b-88f5-af2bb6235a37
Cutler, M.E.J.
fc31df96-3cf1-42fb-9892-338ccbce6bf1
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), 1053-1066. (doi:10.1046/j.1365-2699.2003.00887.x).

Record type: Article

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.

This record has no associated files available for download.

More information

Published date: July 2003
Keywords: Rain forest, richness, evenness, species composition, remote sensing, neural network.

Identifiers

Local EPrints ID: 14541
URI: http://eprints.soton.ac.uk/id/eprint/14541
ISSN: 0305-0270
PURE UUID: c08a0134-8ea3-40c4-a61f-2462d4fcf296

Catalogue record

Date deposited: 22 Feb 2005
Last modified: 15 Mar 2024 05:26

Export record

Altmetrics

Contributors

Author: G.M. Foody
Author: M.E.J. Cutler

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×