DocumentCode :
765362
Title :
Multitemporal repeat-pass SAR interferometry of boreal forests
Author :
Askne, Jan ; Santoro, Maurizio ; Smith, Gary ; Fransson, Johan E S
Author_Institution :
Dept. of Radio & Space Sci., Chalmers Univ. of Technol., Goteborg, Sweden
Volume :
41
Issue :
7
fYear :
2003
fDate :
7/1/2003 12:00:00 AM
Firstpage :
1540
Lastpage :
1550
Abstract :
Multitemporal European Remote Sensing satellites 1 and 2 (ERS-1/2) and the Japanese Earth Resources Satellite 1 (JERS-1) interferometric synthetic aperture radar (InSAR) data from a boreal forest test site in Sweden (stem volumes up to 335 m3/ha, equivalent to above-ground dry biomass of ∼200 tons/ha) are studied in order to estimate stem volume using coherence and backscatter. The changes of JERS-1 backscatter and ERS-1/2 tandem coherence between images are consistent over the area studied, in contrast to ERS-1/2 backscatter. A model-based regression analysis has been performed, and the use of the model for inversion is discussed and compared with other approaches found in the literature. The model parameters are discussed in terms of their relation to wind speed and temperature. Results from the different acquisitions are combined to improve the stem volume estimation. The accuracy in terms of rms error (RMSE) for standwise estimated stem volume is ≈10 m3/ha using ERS-1/2 coherence. Using backscatter and coherence from JERS-1 we obtain an RMSE of ≈30-35 m3/ha. Finally, conditions for accurate retrieval of stem volume using multitemporal InSAR observations are discussed. We conclude that C- and L-band repeat-pass InSAR can provide stem volume estimates in boreal forests with accuracies similar to those of standard in situ measurements.
Keywords :
forestry; geophysical techniques; radar cross-sections; remote sensing by radar; spaceborne radar; synthetic aperture radar; vegetation mapping; C-band; ERS-1; ERS-2; InSAR; JERS-1; L-band; SAR; Sweden; backscatter; biomass; boreal forest; coherence; forestry; geophysical measurement technique; multitemporal repeat pass method; radar remote sensing; radar scattering; stem volume; synthetic aperture radar; vegetation mapping; Backscatter; Biomass; Coherence; Earth; Regression analysis; Remote sensing; Satellites; Synthetic aperture radar interferometry; Testing; Wind speed;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2003.813397
Filename :
1221806
Link To Document :
بازگشت