Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6347129 | Remote Sensing of Environment | 2013 | 14 Pages |
Abstract
During the seed region growth, new pixels' possible classes are not constrained to their cover type according to the vegetation map, so the algorithm is able to capture temporal changes in the vegetation spatial distribution. Comparison of the resultant classification and concurrent ground truth yielded 92% of flood mapping accuracy. The flood mapping method is applicable to the available ASAR images of Doñana from six other hydrologic cycles.
Keywords
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Computers in Earth Sciences
Authors
Belen Marti-Cardona, Josep Dolz-Ripolles, Carlos Lopez-Martinez,