Universität zu Köln

Kramm, Tanja ORCID: 0000-0003-2684-7157, Hoffmeister, Dirk ORCID: 0000-0002-8178-557X, Curdt, Constanze ORCID: 0000-0002-9606-9883, Maleki, Sedigheh, Khormali, Farhad ORCID: 0000-0001-6805-7343 and Kehl, Martin (2017). Accuracy Assessment of Landform Classification Approaches on Different Spatial Scales for the Iranian Loess Plateau. ISPRS Int. Geo-Inf., 6 (11). BASEL: MDPI. ISSN 2220-9964

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Abstract

An accurate geomorphometric description of the Iranian loess plateau landscape will further enhance our understanding of recent and past geomorphological processes in this strongly dissected landscape. Therefore, four different input datasets for four landform classification methods were used in order to derive the most accurate results in comparison to ground-truth data from a geomorphological field survey. The input datasets in 5 m and 10 m pixel resolution were derived from Pleiades stereo satellite imagery and the Shuttle Radar Topography Mission (SRTM), and Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER GDEM) datasets with a spatial resolution of 30 m were additionally applied. The four classification approaches tested with this data include the stepwise approach after Dikau, the geomorphons, the topographical position index (TPI) and the object based approach. The results show that input datasets with higher spatial resolutions produced overall accuracies of greater than 70% for the TPI and geomorphons and greater than 60% for the other approaches. For the lower resolution datasets, only accuracies of about 40% were derived, 20-30% lower than for data derived from higher spatial resolutions. The results of the topographic position index and the geomorphons approach worked best for all selected input datasets.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Kramm, Tanja UNSPECIFIED orcid.org/0000-0003-2684-7157 UNSPECIFIED Hoffmeister, Dirk UNSPECIFIED orcid.org/0000-0002-8178-557X UNSPECIFIED Curdt, Constanze UNSPECIFIED orcid.org/0000-0002-9606-9883 UNSPECIFIED Maleki, Sedigheh UNSPECIFIED UNSPECIFIED UNSPECIFIED Khormali, Farhad UNSPECIFIED orcid.org/0000-0001-6805-7343 UNSPECIFIED Kehl, Martin UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-213456
DOI:	10.3390/ijgi6110366
Journal or Publication Title:	ISPRS Int. Geo-Inf.
Volume:	6
Number:	11
Date:	2017
Publisher:	MDPI
Place of Publication:	BASEL
ISSN:	2220-9964
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language SPACEBORNE THERMAL EMISSION; REFLECTION RADIOMETER ASTER; OBJECT-BASED CLASSIFICATION; DIGITAL ELEVATION MODELS; TOPOGRAPHY; TERRAIN; DEMS; GEOMORPHONS; VALIDATION Multiple languages Geography, Physical; Remote Sensing Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/21345