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The objectives of the Forest Spatial Information Catalog (FSIC) are to provide accessible geospatial data to researchers, development practitioners and planners in governmental, community and non-governmental organizations. It aims to provide a common platform for sharing forest-related data by fostering common standards and good practice among stakeholders and research partners. With the FSIC initiative, CIFOR contributes to the Consortium for Spatial Information (CGIAR-CSI) which is an initiative of the geospatial scientists within the Consultative Group for International Agriculture Research (CGIAR), linking the efforts of CGIAR scientists, national and international partners, and others working to apply and advance Geospatial Science for International Sustainable Agriculture Development, Natural Resource Management, Biodiversity Conservation, and Poverty Alleviation in Developing Countries.
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1 to 10 of 698 Results
Jan 18, 2019 - General
Okarda, B., 2019, "Smallholder oil palm plantation in Central and West Kalimantan", https://doi.org/10.17528/CIFOR/DATA.00099, Center for International Forestry Research (CIFOR), V1
The dataset is smallholder oil palm plantation in Central and West Kalimantan. The plantations is delineated from SPOT imageries and validated by the ground truthting.
Shapefile as ZIP Archive - 5.2 MB - MD5: dd372a83399aef5f5049dbff904726f2
Data
Class of oil palm plantation IOPP : Industrial oil palm plantation Smallholder: Independent smallholder oil palm plantation Plasma: Oil palm plantation under plasma scheme Unclassified: Oil palm plantation without information on type of ownership.
Jan 14, 2019
Lilik Budi Prasetyo; Himlal Baral, 2019, "One Review on Restoration Approaches on Ex Mining Areas in Indonesia", https://doi.org/10.17528/CIFOR/DATA.00100, Center for International Forestry Research (CIFOR), V1
Dataset of One Review on Restoration Approaches on Ex Mining Areas in Indonesia.
Shapefile as ZIP Archive - unknown - MD5: 3258a74cbf1dfdb1b3a069b8aa4ea474
Actual mining land cover, generated based on Landsat satellite imagery.
Unknown - unknown - MD5: ae3b3df9970b49b6523e608759bc957d
Vegetation suitability for rehabilitation activities on ex-mining area.
Shapefile as ZIP Archive - unknown - MD5: d25305d13355d654358423ad3b515504
Vegetation suitability for rehabilitation activities on ex-mining area.
Jan 8, 2019 - General
Okarda, B.; Manalu, P., 2018, "Oil Palm Mills Database", https://doi.org/10.17528/CIFOR/DATA.00098, Center for International Forestry Research (CIFOR), V2
The dataset is palm oil mills location in Indonesia. The mills list of name was compiled from supply chain document on traceability report of major palm oil processor in Indonesia (Musim Mas, GAR, Asian Agri, and Wilmar). The location of mills was gathered from self-reported docu...
Comma Separated Values - 0 bytes - MD5: 2632023286b3e89d285cf9e3bbd213bb
List of variable name in dataset.
MS Excel (XLSX) - 0 bytes - MD5: 02b59cb7406d6a97d922bcd74c0bac25
Data
Oil Palm Mills Database
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