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Open AccessArticle

Automatic Extraction and Size Distribution of Landslides in Kurdistan Region, NE Iraq

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Remote Sensing Group, Institute of Geology, TU Freiberg, B.-von-Cotta-St. 2, D-09596 Freiberg, Germany
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Iraq Geological Survey, Al-Andalus Square, Baghdad, Iraq
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Remote Sensing Group, Helmholtz Institute Freiberg of Resource Technology, Halsbrueckerstr. 34, D-09599 Freiberg, Germany
*
Author to whom correspondence should be addressed.
Remote Sens. 2013, 5(5), 2389-2410; https://doi.org/10.3390/rs5052389
Received: 25 March 2013 / Revised: 29 April 2013 / Accepted: 7 May 2013 / Published: 15 May 2013
This study aims to assess the localization and size distribution of landslides using automatic remote sensing techniques in (semi-) arid, non-vegetated, mountainous environments. The study area is located in the Kurdistan region (NE Iraq), within the Zagros orogenic belt, which is characterized by the High Folded Zone (HFZ), the Imbricated Zone and the Zagros Suture Zone (ZSZ). The available reference inventory includes 3,190 landslides mapped from sixty QuickBird scenes using manual delineation. The landslide types involve rock falls, translational slides and slumps, which occurred in different lithological units. Two hundred and ninety of these landslides lie within the ZSZ, representing a cumulated surface of 32 km2. The HFZ implicates 2,900 landslides with an overall coverage of about 26 km2. We first analyzed cumulative landslide number-size distributions using the inventory map. We then proposed a very simple and robust algorithm for automatic landslide extraction using specific band ratios selected upon the spectral signatures of bare surfaces as well as posteriori slope and the normalized difference vegetation index (NDVI) thresholds. The index is based on the contrast between landslides and their background, whereas the landslides have high reflections in the green and red bands. We applied the slope threshold map to remove low slope areas, which have high reflectance in red and green bands. The algorithm was able to detect ~96% of the recent landslides known from the reference inventory on a test site. The cumulative landslide number-size distribution of automatically extracted landslide is very similar to the one based on visual mapping. The automatic extraction is therefore adapted for the quantitative analysis of landslides and thus can contribute to the assessment of hazards in similar regions. View Full-Text
Keywords: brightness Indicator; landslide; automatic extraction; landslide index; remote sensing; GIS; number-size distribution; Zagros brightness Indicator; landslide; automatic extraction; landslide index; remote sensing; GIS; number-size distribution; Zagros
MDPI and ACS Style

Othman, A.A.; Gloaguen, R. Automatic Extraction and Size Distribution of Landslides in Kurdistan Region, NE Iraq. Remote Sens. 2013, 5, 2389-2410.

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