DocumentCode
1017185
Title
Spaceborne applications of P band imaging radars for measuring forest biomass
Author
Rignot, Eric J. ; Zimmermann, Reiner ; Van Zyl, Jakob J.
Author_Institution
Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
Volume
33
Issue
5
fYear
1995
fDate
9/1/1995 12:00:00 AM
Firstpage
1162
Lastpage
1169
Abstract
In three sites of boreal and temperate forests, P band HH, HV, and W polarization data combined estimate total aboveground dry woody biomass within 12 to 27% of the values derived from allometric equations, depending on forest complexity. Biomass estimates derived from HV-polarization data only are 2 to 14% less accurate. When the radar operates at circular polarization, the errors exceed 100% over flooded forests, wet or damaged trees and sparse open tall forests because double-bounce reflections of the radar signals yield radar signatures similar to that of tall and massive forests. Circular polarizations, which minimize the effect of Faraday rotation in spaceborne applications, are therefore of limited use for measuring forest biomass. In the tropical rain forest of Manu, in Peru, where forest biomass ranges from 4 kg m-2 in young forest succession up to 50 kg m-2 in old, undisturbed floodplain stands, the P band horizontal and vertical polarization data combined separate biomass classes in good agreement with forest inventory estimates. The worldwide need for large scale, updated, biomass estimates, achieved with a uniformly applied method, justifies a more in-depth exploration of multi-polarization long wavelength imaging radar applications for tropical forests inventories
Keywords
forestry; geophysical techniques; radar applications; radar polarimetry; remote sensing by radar; spaceborne radar; Manu; P-band imaging radar; Peru; UHF VHF; dry woody biomass; flooded forest; forestry; geophysical measurement technique; polarization; radar polarimetry; radar remote sensing; spaceborne radar; tropical forest; tropical region; vegetation mapping; Biomass; Equations; Polarization; Radar applications; Radar imaging; Radar measurements; Rain; Reflection; Rotation measurement; Spaceborne radar;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/36.469480
Filename
469480
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