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Landslides Kosñipata Valley, Peru (Clark et al. 2016)


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Created: Feb 19, 2017 at 9:05 p.m.
Last updated: Feb 21, 2017 at 3:34 a.m. (Metadata update)
Published date: Feb 21, 2017 at 3:34 a.m.
DOI: 10.4211/hs.90487bcf16e44c62a677ae33ef95e968
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Content types: Geographic Feature Content 
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Abstract

Please cite: Clark, K. E., West, A. J., Hilton, R. G., Asner, G. P., Quesada, C. A., Silman, M. R., Saatchi, S. S., Farfan Rios, W., Martin, R. E., Horwath, A. B., Halladay, K., New, M., and Malhi, Y. (2016), Storm-triggered landslides in the Peruvian Andes and implications for topography, carbon cycles, and biodiversity, Earth Surface Dynamics, 4, 47-70, doi: 10.5194/esurf-4-47-2016.

Landslides within the Kosñipata Valley in Peru were manually mapped over a 25-year period from 1988 to 2012 using Landsat 5 (Landsat Thematic Mapper) and Landsat 7 (Landsat Enhanced Thematic Mapper Plus) satellite images. The landslide inventory was produced by manually mapping landslide scars and their deposits in ArcGIS and by verifying via ground truthing of scars in the field. Mapping involved visually comparing images from one year to the next, specifically evaluating contrasting colour changes that suggest a landslide had occurred. The landslide areas visible via spectral contrast in the Landsat images include regions of failure, run-out areas, and deposits. Pan-sharpened high-resolution Quickbird and Worldview images were used to define the landslide boundaries.

Topographic shadow produced by hillslopes covered a minimum of 21% of the study area (35 km2 out of 185 km2), predominantly on southwest-facing slopes was consistently present between images. Landslides that fell within these shadow areas were not visible. Any landslides that were partially mapped underneath the Landsat topographic shadow were removed (see Figure 2a in Clark et al. 2016).

This product was created by Kathryn Clark (kathryn.clark23@gmail.com)

Other spatial datasets from Clark et al. (2016):
Clark, K., J. West, R. Hilton (2017). Landsat topographic shadow, Kosñipata Valley, Peru (Clark et al. 2016), HydroShare, http://www.hydroshare.org/resource/bdb9c4b4788d4141845947c81e5cceba
Clark, K., J. West, R. Hilton (2017). Region of landslide mapping, Kosñipata Valley, Peru (Clark et al. 2016), HydroShare, http://www.hydroshare.org/resource/c08742b733274f7dbf75891a7c185626
Clark, K., J. West, R. Hilton (2017). Landslide rates and hillslope turnover, Kosñipata Valley, Peru (Clark et al. 2016), HydroShare, http://www.hydroshare.org/resource/147e9ebecde442ed97738de7f404c057

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
-13.0369°
East Longitude
-71.5223°
South Latitude
-13.2122°
West Longitude
-71.6281°

Content

Data Services

The following web services are available for data contained in this resource. Geospatial Feature and Raster data are made available via Open Geospatial Consortium Web Services. The provided links can be copied and pasted into GIS software to access these data. Multidimensional NetCDF data are made available via a THREDDS Data Server using remote data access protocols such as OPeNDAP. Other data services may be made available in the future to support additional data types.

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
Clarendon Fund PhD Scholarship K. Clark
National Science Foundation A. J. West NSF-EAR 1227192
Natural Environment Research Council New Investigator Grant: R. G. Hilton NE/I001719/1
Jackson Foundation Y. Malhi
European Research Council ERC Advanced Investigator Grant: Y. Malhi GEM-TRAIT
Natural Sciences and Engineering Research Council of Canada PhD Scholarship K. Clark

How to Cite

Clark, K., J. West, R. Hilton, G. Asner, C. Quesada, M. Silman, S. Saatchi, R. Martin, A. Horwath, K. Halladay, M. New, Y. Malhi (2017). Landslides Kosñipata Valley, Peru (Clark et al. 2016), HydroShare, https://doi.org/10.4211/hs.90487bcf16e44c62a677ae33ef95e968

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

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