Embedding remote sensing data in models for forest carbon dynamics

Details Embedding remote sensing data in models for forest carbon dynamics Embedding remote sensing data in models for forest carbon dynamics

Jan 2002

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002esasp.475..215q&link_type=abstract

In: Proceedings of the Third International Symposium on Retrieval of Bio- and Geophysical Parameters from SAR Data for Land Appl

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The conceptual framework within which Earth Observation (EO) data can be absorbed into dynamic biophysical models of forests is described. The specific quantities relevant to this problem that can be derived from EO data are identified, together with the types of sensors necessary and available. Radar has unique capabilities in detecting freeze-thaw events over large areas, but its most telling contribution to quantitative estimates of carbon fluxes is through measurements of biomass. This is best demonstrated in a form suitable for interfacing to models by the large-scale biomass maps of central Siberia produced in the SIBERIA project. However, their production required Tandem coherence measurements, which are no longer available. Of the current and upcoming radar satellites, only ALOS-PALSAR seems capable of providing estimates of biomass on the routine basis needed for carbon modelling. This will require systematic, large-scale data acquisition and reliable biomass product recovery to be demonstrated. If such a general framework can be established, it also provides a context for absorbing data from non-satellite sources, such as VHF airborne systems.

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