Using multiresolution and multitemporal satellite data for post-disaster landslide inventory in the Republic of Serbia

Using multiresolution and multitemporal satellite data for post-disaster landslide inventory in... This paper focuses on a specific event-based landslide inventory compiled after the May 2014 heavy rainfall episode in Serbia as a part of the post-disaster recovery actions. The inventory was completed for a total of 23 affected municipalities, and the municipality of Krupanj was selected as the location for a more detailed study. Three sources of data collection and analysis were used: a visual analysis of the post-event very high and high (VHR-HR) resolution images (Pléiades, WorldView-2 and SPOT 6), semi-automatic landslide recognition in pre- and post-event coarse resolution images (Landsat 8) and a landslide mapping field campaign. The results suggest that the visual and semi-automated analyses significantly contributed to the quality of the final inventory, including the associated planning strategies for conducting future field campaigns (as a final stage of the inventorying process), all the more so because the field-based and image-based inventories were focused on different types of landslides. In the most affected municipalities that had very high resolution satellite image coverage (19.52% of the whole study area), the density of the recognized landslides was approximately three times higher than that in those municipalities without satellite image coverage (where only field data were available). The total number of field-mapped landslides for the 23 municipalities was 1785, while image-based inventories, which were available only for the municipalities with satellite image coverage (77.43% of the study area), showed 1298 landslide records. The semi-automated landslide inventory in the test area (Krupanj municipality), which was based on coarse resolution multitemporal images (Landsat 8), counted 490 landslide instances and was in agreement with the visual analysis of the higher resolution images, with an overlap of approximately 40%. These results justify the use of preliminary inventorying via satellite image analysis and suggest a considerable potential use for preliminary visual and semi-automated landslide inventorying as an important supplement to field mapping. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Landslides Springer Journals

Using multiresolution and multitemporal satellite data for post-disaster landslide inventory in the Republic of Serbia

Using multiresolution and multitemporal satellite data for post-disaster landslide inventory in the Republic of Serbia

Recent Landslides Landslides (2017) 14:1467–1482 Dragana Đurić I Ana Mladenović I Milica Pešić-Georgiadis I Miloš Marjanović I Biljana DOI 10.1007/s10346-017-0847-2 Abolmasov Received: 9 February 2017 Accepted: 22 May 2017 Using multiresolution and multitemporal satellite data Published online: 21 June 2017 © Springer-Verlag GmbH Germany 2017 for post-disaster landslide inventory in the Republic of Serbia Abstract This paper focuses on a specific event-based land- United Nations Disaster Assessment and Coordination Team slide inventory compiled after the May 2014 heavy rainfall (UNDAC) assisted immediately and estimated that roughly episode in Serbia as a part of the post-disaster recovery more than 2000 landslides were activated in the western and actions. The inventory was completed for a total of 23 affected central parts of Serbia (UNDAC 2014). Some of the locations in municipalities, and the municipality of Krupanj was selected western Serbia were affected by many flow-type landslides, as the location for a more detailed study. Three sources of which had never previously been reported in these areas. These data collection and analysis were used: a visual analysis of the landslides caused severe damage to the local municipalities post-event very high and high (VHR-HR) resolution images (residential areas, roads, infrastructure facilities, cultivated (Pléiades, WorldView-2 and SPOT 6), semi-automatic landslide lands, pastures and forests), as well as to the highly urbanized recognition in pre- and post-event coarse resolution images areas in the city of Belgrade, the capital of Serbia. In the (Landsat 8) and a landslide mapping field campaign. The framework of the post-disaster recovery led by the United Na- results suggest that the visual and semi-automated analyses tions Development Programme (UNDP) Office in Serbia, several significantly contributed to the quality of the final inventory, actions were taken with the aim...
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Publisher
Springer Berlin Heidelberg
Copyright
Copyright © 2017 by Springer-Verlag Berlin Heidelberg
Subject
Earth Sciences; Natural Hazards; Geography, general; Agriculture; Civil Engineering
ISSN
1612-510X
eISSN
1612-5118
D.O.I.
10.1007/s10346-017-0847-2
Publisher site
See Article on Publisher Site

Abstract

This paper focuses on a specific event-based landslide inventory compiled after the May 2014 heavy rainfall episode in Serbia as a part of the post-disaster recovery actions. The inventory was completed for a total of 23 affected municipalities, and the municipality of Krupanj was selected as the location for a more detailed study. Three sources of data collection and analysis were used: a visual analysis of the post-event very high and high (VHR-HR) resolution images (Pléiades, WorldView-2 and SPOT 6), semi-automatic landslide recognition in pre- and post-event coarse resolution images (Landsat 8) and a landslide mapping field campaign. The results suggest that the visual and semi-automated analyses significantly contributed to the quality of the final inventory, including the associated planning strategies for conducting future field campaigns (as a final stage of the inventorying process), all the more so because the field-based and image-based inventories were focused on different types of landslides. In the most affected municipalities that had very high resolution satellite image coverage (19.52% of the whole study area), the density of the recognized landslides was approximately three times higher than that in those municipalities without satellite image coverage (where only field data were available). The total number of field-mapped landslides for the 23 municipalities was 1785, while image-based inventories, which were available only for the municipalities with satellite image coverage (77.43% of the study area), showed 1298 landslide records. The semi-automated landslide inventory in the test area (Krupanj municipality), which was based on coarse resolution multitemporal images (Landsat 8), counted 490 landslide instances and was in agreement with the visual analysis of the higher resolution images, with an overlap of approximately 40%. These results justify the use of preliminary inventorying via satellite image analysis and suggest a considerable potential use for preliminary visual and semi-automated landslide inventorying as an important supplement to field mapping.

Journal

LandslidesSpringer Journals

Published: Jun 21, 2017

References

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