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Center for International Forestry Research (CIFOR)
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11 to 20 of 596 Results
skb_blok8_10_kelapa_sawit.dbf
Unknown - 110.7 MB - MD5: 355e67cad37ee4473c43266e3c9a4ea2
Data
Household data - Questionnaire block 8 - 10
skb_blok4_7_kelapa_sawit.dbf
Unknown - 237.8 MB - MD5: 0c2170fa57cabe3413e2be42ce7b24d6
Data
Household data - Questionnaire block 4 - 7
Sintang-VegetationMap.lyr
Unknown - 34.0 KB - MD5: e3fd95b064c227a3136d97f06c5f5cc5
Layerfile of Sintang regency vegetation map
Sekadau-VegetationMap.lyr
Unknown - 32.5 KB - MD5: b116aea61444ba5920658d7e2bc5aa51
Layerfile of Sekadau regency vegetation map
Sanggau-VegetationMap.lyr
Unknown - 35.0 KB - MD5: 74894b73ca70d6e243ca02348cebaa7e
Layerfile of Sanggau regency vegetation map
Sambas-VegetationMap.lyr
Unknown - 35.0 KB - MD5: 5ac123ea600692946e964f01faeed9a3
Layerfile of Sambas regency vegetation map
REGBorneo_OriginOfLandConvertedToITPAndIOPPComplexTrajectory_1973to2016_CIFOR.7z
Unknown - 0 B - MD5: 8eb743553d282823a4cf40b7c8aeb54e
Track the history of the type of vegetation present before plantations became established in concessions of oil palm and pulpwood. For each industrial plantation, we determined in which previous periods Forest was present and then Cleared/Deforested, by intersecting them with the...
REGBorneo_ForestCover_2016_CIFOR.7z
Unknown - 0 B - MD5: bfa2068025106d33705e647ff7fb18b2
Dataset of forest cover in 2016. In Borneo, ‘Forest’ are mainly closed-canopy (>90% cover) and high carbon stock (Above Ground carbon > 150 Mg C/Ha) evergreen Dipterocarps growing on either mineral or peat soils. On peat domes, ‘Forest’ may include low carbon stock pole forests....
REGBorneo_FCDF_1973to2016_CIFOR.7z
Unknown - 0 B - MD5: b6f92cd15ee873262a8bb731ba8ac514
We mapped the Borneo-wide decline in forest area over four consecutive periods (1973–2000, 2001–2005, 2006–2010, 2011–2015, and for year 2016) by combining four published LANDSAT-based datasets (1,2,3,4). First, we combined two comparable Forest maps (1,2), each showing the exten...
PRODUCT FORM R_7.12.13.docx
Unknown - 24.9 KB - MD5: cc28f8a5fcc70a63fa87f81f3d59be0d
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