10.17528/CIFOR/DATA.00185Rafanoharana, S.Center for International Forestry Research (CIFOR)Boissiere, M.Center for International Forestry Research (CIFOR)Land Cover Classification of Mamberamo Bagusa 2005Center for International Forestry Research (CIFOR)2019Climate Change, Energy and low carbon development (CCE)Sustainable Landscapes & Food (SLF)climate changesemissiongreenhouse gassesland covervillagesClimate changeCIFOR-RDMCenter for International Forestry Research (CIFOR)Boissiere, M.Center for International Forestry Research (CIFOR)Center for International Forestry Research20152019-07-262019-08-01spatial data76592150application/zipped-shapefileimage/jpeg1.0<a href="http://creativecommons.org/licenses/by/4.0/" target="_blank" rel="nofollow"><img alt="Creative Commons License" src="https://i.creativecommons.org/l/by/4.0/88x31.png"></a> <br> These data and documents are licensed under a <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank" rel="nofollow"> Creative Commons Attribution 4.0 International license.</a> You may copy, distribute and transmit the data as long as you acknowledge the source through proper <a href="http://best-practices.dataverse.org/data-citation/" target="_blank" rel="nofollow">data citation</a>.The land cover map for Bagusa Village in Papua was derived from the 2005 Landsat TM. A supervised classification technique was used based on the maximum likelihood estimation. Seven classes were identified including different levels of vegetation density and vegetation types such as swampy bush and marsh, settlement, and water body. The presence of cloud and haze in the images was a major problem and had to be removed. The social research team conducted a ground check to collect additional GPS points. This was to help improve the classification results, however, it was limited due to the difficulty in accessing some areas and time constraints.-2.249278138.025496137.686114-1.666768USAIDNORADCGIAR Research Program on Forests, Trees and Agroforestry