Statistics – Applications
Scientific paper
Jan 2002
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002esasp.475..245e&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
Agriculture, Land Cover
Scientific paper
In this study the potential of ERS-1/2 Tandem INSAR data in land-cover classification was investigated at a 2500 km2 study area around the Helsinki metropolitan area in southern Finland. A time-series of 14 ERS-1/2 Tandem image pairs was processed into 28 5-look intensity images, 14 Tandem coherence images and two coherence images with a longer temporal baseline (35 and 245 days). All image data was co-registered and orthorectified into map coordinates using an INSAR DEM. The dimenison of the input dataset was reduced with Principal Components Transformation (PCT) prior to classification with an unsupervised ISODATA classifier. Classification accuracy was assessed with aerial orthophotos, digital base maps and the Finnish National Forest Inventory (NFI). The overall producer's accuracy for six classes (agricultural fields, dense forest, sparse forest, mixed urban, dense urban, water) was found to be 88%.
Engdahl Marcus E.
Hyyppä Juha
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