Tuesday 25 February 2014

Large Landslide Detected in Southeastern Alaska


Using imagery from the Landsat 8 satellite, scientists have confirmed that a large landslide occurred in southeastern Alaska on February 16, 2014. Preliminary estimates suggest the landslide on the flanks of Mount La Perouse involved 68 million metric tons (75 million short tons) of material, which would make it the largest known landslide on Earth since 2010.

The Operational Land Imager on Landsat 8 acquired this image on February 23, 2014. The avalanche debris appears light brown compared to the snow-covered surroundings. The sediment slid in a southeasterly direction, stretching across 4.8 kilometers (2.9 miles) and mixing with ice and snow in the process. The slide was triggered by the collapse of a near-vertical mountain face at an elevation of 3,000 meters (10,000 feet), according to David Petley, a geologist at Durham University.

Columbia University scientists Göran Ekström and Colin Stark realized that a landslide may have occurred when they saw evidence in data collected by a global earthquake monitoring network. The earthquake sensors detect seismic waves—vibrations that radiate through Earth’s crust because of sudden movements of rock, ice, magma, or debris.

While earthquake sensors are tuned to detect intense, “short-period” seismic waves produced by sudden slips along faults, Ekström and Stark found evidence of the slide by analyzing “long-period” waves produced by landslides. However, Ekström and Stark could not pinpoint the exact location of the slide based on the seismic data alone; they could only say that it had occurred within a 25 square-kilometer (10 square-mile) area.

To pinpoint the location, the scientists needed observations from either aircraft or a satellite. In this case, the first confirmation of the slide came on February 22, 2014, when helicopter pilot Drake Olson flew over and photographed landslide debris at 58.542 degrees North and 137.01 West.
NASA Earth Observatory image by Jesse Allen and Robert Simmon, using Landsat data from the U.S. Geological Survey. Caption by Adam Voiland.
Instrument: 
Landsat 8 - OLI - NASA