Please wait for the process to complete.
Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...
This resource contains some files/folders that have non-preferred characters in their name. Show non-conforming files/folders.
||This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (firstname.lastname@example.org) for information on this resource.|
|Storage:||The size of this resource is 51.1 KB|
|Created:||Feb 19, 2017 at 9:05 p.m.|
|Last updated:|| Feb 21, 2017 at 3:34 a.m.
|Citation:||See how to cite this resource|
|Content types:||Geographic Feature Content|
|+1 Votes:||Be the first one to this.|
|Comments:||No comments (yet)|
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 (email@example.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
Web Map Service
Web Feature Service
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
This resource is shared under the Creative Commons Attribution CC BY.http://creativecommons.org/licenses/by/4.0/