The University of Southampton
University of Southampton Institutional Repository

Predictive relations of tropical forest biomass from Landsat TM data and their transferability between regions

Foody, Giles M., Boyd, Doreen S. and Cutler, Mark E.J. (2003) Predictive relations of tropical forest biomass from Landsat TM data and their transferability between regions Remote Sensing of Environment, 85, (4), pp. 463-474. (doi:10.1016/S0034-4257(03)00039-7).

Record type: Article

Abstract

The full realization of the potential of remote sensing as a source of environmental information requires an ability to generalize in space and time. Here, the ability to generalize in space was investigated through an analysis of the transferability of predictive relations for the estimation of tropical forest biomass from Landsat TM data between sites in Brazil, Malaysia and Thailand. The data sets for each test site were acquired and processed in a similar fashion to facilitate the analyses. Three types of predictive relation, based on vegetation indices, multiple regression and feedforward neural networks, were developed for biomass estimation at each site. For each site, the strongest relationships between the biomass predicted and that measured from field survey was obtained with a neural network developed specifically for the site (r>0.71, significant at the 99% level of confidence). However, with each type of approach problems in transferring a relation to another site were observed. In particular, it was apparent that the accuracy of prediction, as indicated by the correlation coefficient between predicted and measured biomass, declined when a relation was transferred to a site other than that upon which it was developed. Part of this problem lies with the observed variation in the relative contribution of the different spectral wavebands to predictive relations for biomass estimation between sites. It was, for example, apparent that the spectral composition of the vegetation indices most strongly related to biomass differed greatly between the sites. Consequently, the relationship between predicted and measured biomass derived from vegetation indices differed markedly in both strength and direction between sites. Although the incorporation of test site location information into an analysis resulted in an increase in the strength of the relationship between predicted and actual biomass, considerable further research is required on the problems associated with transferring predictive relations.

Full text not available from this repository.

More information

Published date: 15 June 2003
Keywords: biomass, landsat tm data, remote sensing

Identifiers

Local EPrints ID: 14671
URI: http://eprints.soton.ac.uk/id/eprint/14671
ISSN: 0034-4257
PURE UUID: df17540a-8fc4-4d8a-bdd7-4b8f67a06acc

Catalogue record

Date deposited: 22 Feb 2005
Last modified: 17 Jul 2017 16:54

Export record

Altmetrics

Contributors

Author: Giles M. Foody
Author: Doreen S. Boyd
Author: Mark E.J. Cutler

University divisions

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.

×