1 to 10 of 31 Results
Apr 11, 2022
Swail, E., 2022, "How can process-based modeling improve peat CO2 and N2O emission factors for oil palm plantations?", https://doi.org/10.17528/CIFOR/DATA.00285, Center for International Forestry Research (CIFOR), V1
The supporting information contains four databases. The first two (DBCollar-CO2 and DBCollar-N2O&CH4) present data collected monthly at each plot. The third one (DBSoilMoisture) presents data collected monthly for bulk density, soil moisture and WFPS detemination. The fourth one... |
Apr 3, 2022 - Forest Spatial Information Catalog (FSIC)
Duchelle, A; Boissiere, M; Selviana, V; Anggraini, F; Karlina; Parningotan, NA; Ishartono; Faadhilah, N; Anggraini, E, 2022, "Results of Participatory Mapping in Katingan Mentaya Project", https://doi.org/10.17528/CIFOR/DATA.00276, Center for International Forestry Research (CIFOR), V1
The GCS REDD+ project builds of CIFOR efforts to understand the causes of deforestation and forest degradation as well as to elaborate what can be done to reverse those trends in tropical countries. CIFOR works with research partners and stakeholders so REDD+ policy makers and pr... |
Apr 3, 2022 - Forest Spatial Information Catalog (FSIC)
Duchelle, A; Boissiere, M; Ekaputri, AD; Rumondang, J; Puspitasari, D; Wicaksono, HD; Setiadi, D; Piter, L; Wildayanti, T, 2022, "Results of Participatory Mapping in Berau Forest Carbon Program", https://doi.org/10.17528/CIFOR/DATA.00275, Center for International Forestry Research (CIFOR), V1
The GCS REDD+ project builds of CIFOR efforts to understand the causes of deforestation and forest degradation as well as to elaborate what can be done to reverse those trends in tropical countries. CIFOR works with research partners and stakeholders so REDD+ policy makers and pr... |
Pribadi, U.A.; Setiabudi; Suryadi, I.; Laumonier, Y., 2020, "West Kalimantan Ecological Vegetation Map 1:50 000", https://doi.org/10.17528/CIFOR/DATA.00203, Center for International Forestry Research (CIFOR), V7
The Center for International Forestry Research (CIFOR) completed extensive research on integrated landscape management and produced large-scale ecological vegetation maps for the whole province of West Kalimantan (GOLS-USAID funded project). These 1:50,000 scale ecological vegeta... |
Aug 8, 2019 - Forest Spatial Information Catalog (FSIC)
Rafanoharana, S.; Boissiere, M., 2019, "Land Cover Classification of Hulu Pengkadan 2011", https://doi.org/10.17528/CIFOR/DATA.00189, Center for International Forestry Research (CIFOR), V1
Dataset of the land cover map for Hulu Pengkadan Village in West Kalimantan was derived from SPOT 5 data for year 2011. A supervised classification technique, based on the maximum likelihood estimation, was also applied. Six land cover classes were identified including different... |
Aug 8, 2019 - Forest Spatial Information Catalog (FSIC)
Seta, G.A.; Boissiere, M., 2019, "Land Use Participatory Map of Hulu Pengkadan 2013", https://doi.org/10.17528/CIFOR/DATA.00188, Center for International Forestry Research (CIFOR), V1
Dataset of Land Use Participatory Map of Hulu Pengkadan 2013. Once the participatory map of land cover had been completed, village volunteers drew the different land uses on the map. The spatial representations provide an approximation of where villagers undertake such activities... |
Aug 8, 2019 - Forest Spatial Information Catalog (FSIC)
Seta, G.A.; Boissiere, M., 2019, "Land Cover Participatory Map of Hulu Pengkadan 2013", https://doi.org/10.17528/CIFOR/DATA.00187, Center for International Forestry Research (CIFOR), V1
Village volunteers created participatory maps of land cover for their villages, identifying the different land covers and their vegetation types. After the first draft of the map, a ground check was necessary to geo-reference the main features (rivers, villages, and roads, etc.,)... |
Seta, G. A.; Boissiere, M., 2019, "Land Cover Participatory Map of Mamberamo Bagusa 2015", https://doi.org/10.17528/CIFOR/DATA.00186, Center for International Forestry Research (CIFOR), V1
Village volunteers created participatory maps of land cover for their villages, identifying the different land covers and their vegetation types. After the first draft of the map, a ground check was necessary to geo-reference the main features (rivers, villages, roads, etc.,). Th... |
Rafanoharana, S.; Boissiere, M., 2019, "Land Cover Classification in Wonosobo Lebak 2012", https://doi.org/10.17528/CIFOR/DATA.00184, Center for International Forestry Research (CIFOR), V2
A 2012 image was used to identify the different types of land cover in Lebak village in Central Java. Polygons and lines were produced and identified based on visual interpretation. Ground checks were conducted to identify important key features and to improve the classification... |
Rafanoharana, S.; Boissiere, M., 2019, "Land Cover Classification of Mamberamo Bagusa 2005", https://doi.org/10.17528/CIFOR/DATA.00185, Center for International Forestry Research (CIFOR), V1
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... |
