| 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, 
											