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- W1625488788 abstract "The experience gained in more than a decade of investigations based on ERS-1/2 coherence images for forest applications is currently exploited to map forest biomass of a 1.5 Million km large region in Northeast China. For the generation of the biomass map more than 250 ERS-1/2 tandem image pairs are used. The dataset consists of multitemporal and multi-baseline image frames acquired between 1995 and 1998. For 223 image pairs the geocoded coherence, backscatter and terrain information images with 50 x 50 m pixel size have been obtained. Data quality and geolocational accuracies are very high and coherence contrast is in most cases at an optimal level for forestry applications. For biomass classification, the SIBERIA coherence model and the Interferometric Water Cloud Model (IWCM) were evaluated at test sites in China and, for reference, in Siberia. The original SIBERIA coherence model did not always follow the trend in the measurements. For the IWCM, the use of the MODIS Vegetation Continuous Fields (VCF) tree cover product as training input resulted in model parameters estimates in line with results obtained by using forest inventory data. These results suggest that (i) the SIBERIA coherence model must be improved to represent multitemporal coherence and different forest conditions, and (ii) the IWCM with VCF as input information should be further tested." @default.
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- W1625488788 date "2006-02-01" @default.
- W1625488788 modified "2023-10-08" @default.
- W1625488788 title "On the Generation of a Forest Biomass Map for Northeast China: SAR Interferometric Processing and Development of Classification Algorithm" @default.
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