DocumentCode
298915
Title
Sensitivity of AIRSAR data to changes in component biomass for BOREAS jack pine stands
Author
Lang, R.H. ; Kilic, O. ; Cacciola, R. ; Chauhan, N. ; Landry, R.
Author_Institution
George Washington Univ., Washington, DC, USA
Volume
1
fYear
34881
fDate
10-14 Jul1995
Firstpage
722
Abstract
As part of the BOREAS experiment, the relationship between the components of stand biomass and the radar backscattering coefficients are examined. Four jack pine stands with broadly varying biomass statistics are compared to AIRSAR P-band data. Even age stands have been chosen with biomass values ranging from 10 to 200 t/ha. Stand statistics, architecture, dielectric constants and forest surface characteristics have been measured and the biomass of trunks, branches and needles have been computed for each stand. A two layer distorted Born forest model (single scatter) has been used to compute the like polarized backscatter at P-band. The results are in general agreement with the AIRSAR data. The sensitivity of backscatter to changes in biomass is evaluated by using the forest model. Analysis shows the P-band backscatter is most sensitive to changes in trunk biomass, however certain anomalous parameter ranges do exist
Keywords
backscatter; electromagnetic wave polarisation; electromagnetic wave scattering; forestry; radar cross-sections; remote sensing by radar; synthetic aperture radar; AIRSAR data; BOREAS jack pine stands; P-band; architecture; branches; component biomass; dielectric constants; needles; polarized backscatter; radar backscattering coefficients; rest surface characteristics; statistics; trunks; two layer distorted Born forest model; Backscatter; Biomass; Computer architecture; Dielectric constant; Dielectric measurements; Distortion measurement; Lifting equipment; Needles; Radar; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
Conference_Location
Firenze
Print_ISBN
0-7803-2567-2
Type
conf
DOI
10.1109/IGARSS.1995.520567
Filename
520567
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