Hi, I'm an error. x

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

Authors: Kathryn Clark · Josh West · Robert Hilton · Greg Asner · Carlos Quesada · Miles Silman · Sassan Saatchi · Roberta Martin · Aline Horwath · Kate Halladay · Mark New · Yadvinder Malhi
Owners: Kathryn Clark
DOI:10.4211/hs.90487bcf16e44c62a677ae33ef95e968 How to Cite
Resource type:Geographic Feature (ESRI Shapefiles)
Created:Feb 19, 2017 at 9:05 p.m.
Last updated: Feb 22, 2017 at midnight by Kathryn Clark


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


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.


Sharing status:

  • Published Resource  Published



 Coordinate System/Geographic Projection:  WGS 84 EPSG:4326
 Coordinate Units:  Decimal degrees
North Latitude
East Longitude
South Latitude
West Longitude


Download All Content as Zipped BagIt Archive
Learn more about the Bagit archive format


The people or organizations that created the intellectual content of the resource.

Name Organization Address Phone Author Identifiers
Kathryn Clark University of Pennsylvania
Josh West University of Southern California
Robert Hilton Durham University
Greg Asner Carnegie Institution for Science
Carlos Quesada Instituto Nacional de Pesquisas de Amazonia
Miles Silman Wake Forest University
Sassan Saatchi Jet Propulsion Laboratory
Roberta Martin Carnegie Institution for Science
Aline Horwath University of Cambridge
Kate Halladay University of Oxford
Mark New University of Cape Town
Yadvinder Malhi University of Oxford
Geometry Information
Geometry TypePOLYGON
Feature Count719
Spatial Reference
Coordinate Reference SystemWGS_1984_UTM_Zone_19S
Coordinate StringPROJCS["WGS_1984_UTM_Zone_19S", GEOGCS["GCS_WGS_1984", DATUM["WGS_1984", SPHEROID["WGS_84",6378137.0,298.257223563]], PRIMEM["Greenwich",0.0], UNIT["Degree",0.0174532925199433]], PROJECTION["Transverse_Mercator"], PARAMETER["False_Easting",500000.0], PARAMETER["False_Northing",10000000.0], PARAMETER["Central_Meridian",-69.0], PARAMETER["Scale_Factor",0.9996], PARAMETER["Latitude_Of_Origin",0.0], UNIT["Meter",1.0]]


Field Information
Name Type Width Precision
Id Integer 6 0
Year Integer 9 0
Year_End Integer 9 0


This resource was created using funding from the following sources:
Agency Name Award Title Award Number
Natural Sciences and Engineering Research Council of Canada PhD Scholarship K. Clark
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


Be the first one to  +1 this.  (You need to be logged in to rate this.)


There are currently no comments

New Comment