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DISCLAIMERS


DATASET: The data distributed here is in RASTER ARC ASCII format at 250m spatial resolution, in decimal degrees and datum WGS84. It is derived from the USGS/NASA MODIS data. CIAT processed this data to provide habitat change maps. The detections were made using algorithms described by Reymondin et al. (2012). The data represents yearly cumulative detections of land cover change since 2004. The value 0 means that the pixel remained unchanged, whilst the other values represent on which 16 days period a given pixel has been detected as converted. For example if in the grid for 2004 you find a pixel with the value 1, it means it has been detected as converted the 2004.01.01 and with the value 2 it has been detected on the 2004.01.17...

DISTRIBUTION: Users are prohibited from any commercial, non-free resale, or redistribution without explicit written permission from CIAT. Users should acknowledge CIAT as the source used in the creation of any reports, publications, new data sets, derived products, or services resulting from the use of this data set. CIAT also request reprints of any publications and notification of any redistributing efforts. For commercial access to the data, send requests to Louis Reymondin (louis.reymondin@cgiar.org).

NO WARRANTY OR LIABILITY: CIAT provides this data without any warranty of any kind whatsoever, either express or implied, including warranties of merchantability and fitness for a particular purpose. CIAT shall not be liable for incidental, consequential, or special damages arising out of the use of any data.

ACKNOWLEDGEMENT AND CITATION: We kindly ask any users to cite this data in any published material produced using this data, and if possible link web pages to the CIAT-Terra-i website (www.terra-i.org).

REFERENCE: Louis Reymondin, Andrew Jarvis, Andres Perez-Uribe, Jerry Touval, Karolina Argote, Julien Rebetez, Edward Guevara, Mark Mulligan (2012), A methodology for near real-time monitoring of habitat change at continental scales using MODIS-NDVI and TRMM. Submitted Remote Sensing of Environment.