Prior to downloading a Data Map, please be sure to review the Metadata.  By downloading the Data Map, you automatically agree to the conditions stated in each Metadata file.  We strongly encourage you to read the source journal paper for each Data Map because our methodology has dramatically changed and improved from 2009 to present.  In this sense, the maps are not comparable between projects.

The Carnegie Institution for Science and the Carnegie Airborne Observatory make no warranty as to the accuracy or applicability of the Data Maps to any applications.  The User accepts all limits and liabilities in the use of the Data Maps for any purpose.

Metadata:

Map of uncertainty in aboveground carbon density (ACD) at a resolution of one hectare for the 7,541,600 hectare country of Panama. Mapping units are metric tons (megagrams or Mg) of carbon per hectare.  A map data value of -9999 indicates missing data.  The method combines airborne LiDAR, field plot inventory, and satellite data in a regional approach based on machine learning, as reported by Asner et al. (2013; below).  This map represents all woody vegetation with diameter at breast height (DBH) greater than or equal to 10 cm.  The map represents the vegetation as imaged in 2012.

The data are provided as a GeoTIFF format (http://en.wikipedia.org/wiki/GeoTIFF), and the data and the reference PDF(s) are compressed as a single, self-extracting 7Zip (http://en.wikipedia.org/wiki/7-Zip) file.  When prompted, the password is "caodata" (without quotes).

Use, reporting, presentation or publication of results based on this map requires the following citation:

Asner, G.P., J. Mascaro, C. Anderson, D.E. Knapp, R.E. Martin, T. Kennedy-Bowdoin, M. van Breugel, S. Davies, J.S. Hall, H.C. Muller-Landau, C. Potvin, W. Sousa, J. Wright and E. Bermingham. 2013. High-fidelity national carbon mapping for resource management and REDD+. Carbon Balance and Management 8:7

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