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Bioclimate envelope models: what they detect and what they hide - response to Hampe (2004)

Record type: Article

The main limitation in the application of spaceborne SAR to large-scale forest biomass mapping is the variability in canopy structure and vegetation density. Polarimetric SAR interferometry (PolInSAR) potentially offers a means of improving SAR-based estimates of forest biomass by quantifying canopy structural variability. The polarisation information is dependent on the scattering mechanisms, and the interferometric information can be used to determine the vertical location of these scattering events in the canopy. The CORSAR project (Carbon Observation and Retrieval from SAR), which is supported by the UK Natural Environment Research Council (NERC), has the objective to examine polarimetric decomposition and polarimetric SAR interferometry methods for estimating the effects of canopy structure in biomass-backscatter relationships. We present results from single-pass X-band interferometry and from the polarimetric coherence optimisation of repeatpass L-band E-SAR data acquired during the SAR and Hyperspectral Airborne Campaign (SHAC 2000), and compare the InSAR DEM’s with a LIDAR derived DEM that was acquired concurrently. Four approaches to carbon accounting using SAR and LIDAR remote sensing are discussed. Remotely sensed maps of vegetation carbon pools are presented.

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Citation

Pearson, Richard G. and Dawson, Terence P. (2004) Bioclimate envelope models: what they detect and what they hide - response to Hampe (2004) Global Ecology and Biogeography, 13, (5), pp. 471-473. (doi:10.1111/j.1466-822X.2004.00112.x).

More information

Published date: 23 July 2004

Identifiers

Local EPrints ID: 58532
URI: http://eprints.soton.ac.uk/id/eprint/58532
ISSN: 1466-822X
PURE UUID: c2ea1328-b45a-4018-a758-57d2ec75255c

Catalogue record

Date deposited: 14 Aug 2008
Last modified: 17 Jul 2017 14:26

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Contributors

Author: Richard G. Pearson
Author: Terence P. Dawson

University divisions

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