Large area boreal forest investigations using ERS InSAR

Details Large area boreal forest investigations using ERS InSAR Large area boreal forest investigations using ERS InSAR

Jan 2002

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002esasp.475...39a&link_type=abstract

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

Statistics

Applications

Forests

Scientific paper

Multi-temporal InSAR data from a boreal forest area in Sweden is analyzed in order to estimate stem volume using coherence and backscatter. A model-based regression is performed using 21 forest stands and tested on another 21 forest stands, 2 to 14 ha in size, from an area with accurate in situ stem volume data varying from 8 to 335 m3/ha. The model approach is discussed and compared with other approaches found in the literature. Results from the different pairs are combined to give a best stem volume estimate. The accuracy in terms of RMSE for standwise estimated stem volume corrected for sampling errors in 10 m3/ha. Evaluation at plot level (20m diameter - 216 plots) showed an RMSE of 55 m3/ha. The best pairs are characterized by below zero temperature and snow on the ground. For the large area (43225 km2) 166 Swedish National Forest Inventory (NFI), plots were used as reference resulting in an RMSE of 71 m3/ha i.e. 30% worse than the reference area located up to 50 km away. The plot based accuracy estimates illustrate effects of the limited resolution of the coherence estimate and the variability of the forest and stresses the need for evaluations over forest stands. By averaging over larger areas we obtain an accuracy of ≤30 m3/ha for areas ≥150 km2. We conclude that InSAR can for areas above 2 ha provide forest stem volume estimates of similar order of accuracy as groud data.

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