Statistics – Applications
Scientific paper
Jan 2002
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002esasp.475..255f&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
The objective of this paper is twofold: methodological and operational. From a methodological viewpoint, it aims at exploring various approaches to merge the information provided by different type of sensors in unsupervised change-detection problems. From an operational perspective, this work aims at providing an insight into the complementary capabilities of optical and SAR images to identify land-cover transitions within the context of desertification monitoring. The experimental analysis was carried out by using Landsat-5 TM and SAR images acquired at different dates in a wetland area of Tuscany, Italy, affected by desertification processes. Experiments demonstrate the effectiveness of merging both types of data and confirm remote sensing as a powerful technology to monitor desertification processes in a regular basis.
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