
Landslide
Examples of use
(*Note*: By clicking on the following headlines they will take you to the article/case study)
Landsat 8 Reveals Extent of Quake Disaster in Nepal's Langtang Valley
"The magnitude 7.8 Gorkha earthquake that struck Nepal on April 25, 2015, caused extensive damage in Kathmandu Valley and severely affected Nepal's rural areas. The Langtang Valley in the Rasuwa district was particularly hard hit, as became apparent from pictures taken by a rescue helicopter mission on April 26. Numerous tourists and Nepali were, or are, still trapped in the valley as access is completely blocked by avalanches and landslides. The valley’s main village, Langtang , was completely destroyed by the earthquake and the large, wet, debris- and ice-rich avalanche and likely pressure wave from dust avalanche that it triggered, resulting in an unknown number of casualties. Other avalanches also struck elsewhere in the valley.
Space agencies around the world are providing extensive resources in a huge international effort. They are tasking their satellites to observe the areas hit by the earthquake. This effort began immediately after the disaster. Imaging initially focused on Kathmandu. Following the first social media reporting of the helicopter pilot’s comments, an emergency NASA-USGS-interagency Earthquake Response Team alerted satellite mission operations teams about the likely serious plight of Langtang and other Himalayan valleys. Advisories were also delivered to Nepal officials. The first relief missions arrived in the Langtang Valley about April 28." (Click on the underlined part of the title for the link to the rest of this article)
Using Remote Sensing to Automate the Detection of Landslides
"The Goddard research is open source and is currently being used in Nepal to help pinpoint landslides and their impact on the country. The images and information gathered using SLIP-DRIP could help coordinate relief efforts in the wake of a landslide, prepare certain areas for potential landslides, and help residents of Nepal and other countries develop new technologies to help deal with the threat of landslides in the future."
Landslide detection using univariate classification of NDVI differences
"Typhoon Koppu triggered widespread landslides on 15 October 2015 in Gabaldon, Nueva Ecija. To delineate the landslides in the area, a univariate classification algorithm called Jenks natural breaks optimization was used on the NDVI difference of pre- and post-event Landsat 8 images. Visual comparison of the results with a pansharpened Landsat 8 image show that the large landslides were clearly identified, including the runouts. In addition, areas where landslide morphology was not clear in the pansharpened image was also included in the classification. These are likely small and shallow landslides, less than what the resolution can resolve."
