Extraction of bajadas from digital elevation models and satellite imagery

Miliaresis, GCh

dc.contributor.author	Miliaresis, GCh	en
dc.date.accessioned	2014-03-01T01:16:35Z
dc.date.available	2014-03-01T01:16:35Z
dc.date.issued	2001	en
dc.identifier.issn	0098-3004	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/14094
dc.subject	Death Valley	en
dc.subject	Fluvial landforms	en
dc.subject	Geomorphologic mapping	en
dc.subject	Geomorphometry	en
dc.subject	Terrain segmentation	en
dc.subject.classification	Computer Science, Interdisciplinary Applications	en
dc.subject.classification	Geosciences, Multidisciplinary	en
dc.subject.other	Drainage	en
dc.subject.other	Extraction	en
dc.subject.other	Geology	en
dc.subject.other	Satellites	en
dc.subject.other	Pixels	en
dc.subject.other	Imaging techniques	en
dc.subject.other	alluvial fan	en
dc.subject.other	digital elevation model	en
dc.subject.other	extraction	en
dc.subject.other	fluvial geomorphology	en
dc.subject.other	Landsat thematic mapper	en
dc.subject.other	piedmont	en
dc.subject.other	satellite imagery	en
dc.subject.other	United States	en
dc.title	Extraction of bajadas from digital elevation models and satellite imagery	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/S0098-3004(01)00032-2	en
heal.identifier.secondary	http://dx.doi.org/10.1016/S0098-3004(01)00032-2	en
heal.language	English	en
heal.publicationDate	2001	en
heal.abstract	A methodology was designed for the extraction of bajadas from the 15 min US Geological Survey digital elevation models and Landsat Thematic Mapper imagery. The method was demonstrated for the Death Valley-California where progressive eastward tilting has enabled the west-side fans to coalesce and form bajadas. First, the drainage that crossed the uplands and the bajadas was extracted from the DEM. The drainage pixels were successively grown by checking the surrounding pixels on the basis of their gradient. It was concluded that for gradient in the interval [2 degrees, 11 degrees] the upslope bajadas border was segmented. In order to eliminate the drainage pixels that belonged to the uplands. the drainage pixels were subtracted. Then, the isolated small 8-connected foreground pixels were identified and subtracted too. Finally, region growing was performed again to the remaining pixels with the same growing criterion. Isolated 8-connected background pixels, representing almost flat regions inside bajadas, were identified and merged to the segmented pixels. At the end, by taking into account the spectral response in the satellite image, the downslope border of bajadas was segmented. The extracted polygon was in agreement with the information depicted on (a) the US Geological Survey topographic map of scale 1 : 100,000 and (b) the satellite image and (c) the polygon classified manually by a photo-interpreter. (C) 2001 Elsevier Science Ltd. All rights reserved.	en
heal.publisher	PERGAMON-ELSEVIER SCIENCE LTD	en
heal.journalName	Computers and Geosciences	en
dc.identifier.doi	10.1016/S0098-3004(01)00032-2	en
dc.identifier.isi	ISI:000171350300005	en
dc.identifier.volume	27	en
dc.identifier.issue	10	en
dc.identifier.spage	1157	en
dc.identifier.epage	1167	en