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
Link To Document :
بازگشت