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

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), 471-473. (doi:10.1111/j.1466-822X.2004.00112.x).


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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.

Item Type: Article
Digital Object Identifier (DOI): doi:10.1111/j.1466-822X.2004.00112.x
ISSNs: 1466-822X (print)
Related URLs:
Subjects: G Geography. Anthropology. Recreation > G Geography (General)
G Geography. Anthropology. Recreation > GE Environmental Sciences
G Geography. Anthropology. Recreation > GB Physical geography
Divisions : University Structure - Pre August 2011 > School of Geography > Remote Sensing and Spatial Analysis
ePrint ID: 58532
Accepted Date and Publication Date:
23 July 2004Published
Date Deposited: 14 Aug 2008
Last Modified: 31 Mar 2016 12:40

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