Automatic Extraction and Size Distribution of Landslides in Kurdistan Region, NE Iraq.
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| Title: | Automatic Extraction and Size Distribution of Landslides in Kurdistan Region, NE Iraq. |
|---|---|
| Authors: | Othman, Arsalan A.1,2 r.gloaguen@hzdr.de, Gloaguen, Richard1,3 gloaguen@geo.tu-freiberg.de |
| Source: | Remote Sensing. May2013, Vol. 5 Issue 5, p2389-2410. 22p. 2 Color Photographs, 2 Diagrams, 2 Charts, 5 Graphs, 4 Maps. |
| Subjects: | Science indicators, Landslides -- Environmental aspects, Aerospace telemetry, Automatic extracting (Information science), Atmospheric effects on remote sensing, Economic history |
| Geographic Terms: | Kurdistan, Zagros Mountains (Iran & Iraq) |
| Abstract: | 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 [ABSTRACT FROM AUTHOR] |
| Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 89439944 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Automatic Extraction and Size Distribution of Landslides in Kurdistan Region, NE Iraq. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Othman%2C+Arsalan+A%2E%22">Othman, Arsalan A.</searchLink><relatesTo>1,2</relatesTo><i> r.gloaguen@hzdr.de</i><br /><searchLink fieldCode="AR" term="%22Gloaguen%2C+Richard%22">Gloaguen, Richard</searchLink><relatesTo>1,3</relatesTo><i> gloaguen@geo.tu-freiberg.de</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Remote+Sensing%22">Remote Sensing</searchLink>. May2013, Vol. 5 Issue 5, p2389-2410. 22p. 2 Color Photographs, 2 Diagrams, 2 Charts, 5 Graphs, 4 Maps. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Science+indicators%22">Science indicators</searchLink><br /><searchLink fieldCode="DE" term="%22Landslides+--+Environmental+aspects%22">Landslides -- Environmental aspects</searchLink><br /><searchLink fieldCode="DE" term="%22Aerospace+telemetry%22">Aerospace telemetry</searchLink><br /><searchLink fieldCode="DE" term="%22Automatic+extracting+%28Information+science%29%22">Automatic extracting (Information science)</searchLink><br /><searchLink fieldCode="DE" term="%22Atmospheric+effects+on+remote+sensing%22">Atmospheric effects on remote sensing</searchLink><br /><searchLink fieldCode="DE" term="%22Economic+history%22">Economic history</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Kurdistan%22">Kurdistan</searchLink><br /><searchLink fieldCode="DE" term="%22Zagros+Mountains+%28Iran+%26+Iraq%29%22">Zagros Mountains (Iran & Iraq)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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 [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/rs5052389 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 2389 Subjects: – SubjectFull: Science indicators Type: general – SubjectFull: Landslides -- Environmental aspects Type: general – SubjectFull: Aerospace telemetry Type: general – SubjectFull: Automatic extracting (Information science) Type: general – SubjectFull: Atmospheric effects on remote sensing Type: general – SubjectFull: Economic history Type: general – SubjectFull: Kurdistan Type: general – SubjectFull: Zagros Mountains (Iran & Iraq) Type: general Titles: – TitleFull: Automatic Extraction and Size Distribution of Landslides in Kurdistan Region, NE Iraq. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Othman, Arsalan A. – PersonEntity: Name: NameFull: Gloaguen, Richard IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2013 Type: published Y: 2013 Identifiers: – Type: issn-print Value: 20724292 Numbering: – Type: volume Value: 5 – Type: issue Value: 5 Titles: – TitleFull: Remote Sensing Type: main |
| ResultId | 1 |
