Data - Forests, Trees and Agroforestry

Data

The FTA data portal provides access to a wealth of datasets and maps generated through FTA research. Its part of our commitment to advancing knowledge on, and decision-making for, forest, trees, and agroforestry.

Browse using the filters below, or use the search bar to find something specific.

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Flagship 1: Tree genetic resources to bridge production gaps and promote resilience
Flagship 2: Enhancing how trees and forests contribute to smallholder livelihoods
Flagship 3: Sustainable value chains and investments to support forest conservation and equitable development
Flagship 4: Landscape dynamics, productivity and resilience
Flagship 5: Forests, trees and agroforestry for climate change adaptation and mitigation
Gender
Monitoring, evaluation, learning and impact assessment (MELIA)
Capacity development
Restoration
Plantations and tree crop commodities
Enhanced nutrition and food security
Biodiversity, safeguarding and conservation
Nationally Determined Contributions (NDCs)
Bioenergy
Blue carbon and peatlands
Climate change adaptation
Landscape governance
Gender
Silvopastoral systems
Market-based agroforestry-forestry
Farm-forest policy interface
Agroecology
Livelihood trajectory modelling and assessment
Inclusive finance and business models
Innovating finance for sustainable landscapes
Public and private commitments to zero deforestation
Orphan tree crops
Effectiveness of approaches to sustainable supply
Quality of FTA research for development
Sentinel landscapes
Displaying 1 - 20 of 101
2018
Land cover map of 2005 is part of land cover change map series of 2005 and 2018, developed in order to support the biodiversity of oil palm and non-oil...
2018
Land cover map of 2018 is part of land cover change map series of 2005 and 2018, developed in order to support the biodiversity of oil palm and non-oil...
2018
The forest cover map provided to support the participatory mapping project which lead by Amy Duchelle, under GCS-REDD component 2, in Banjararun Village, Yogyakarta.
2017
The map contain 13 land cover classes interpreted in October 2017 using object-oriented classification method based on Sentinel-2 satellite imagery, sensor acquisition day 30 June 2017, band composite 11-8-2....
2017
Wetlands are important providers of ecosystem services and key regulators of climate change. They positively contribute to global warming through their greenhouse gas emissions, and negatively through the accumulation...
2016
The dataset reveals forty-two years (1973-2015) of forest degradation by the logging industry, and conversion to industrial oil palm and pulpwood plantations in Borneo, shared by Indonesia, Malaysia, and...
2016
Type: Raster Data. Spatial Representation Type: grid data is used to represent geographic data. Predicted soil erosion prevalence in 2012 based on MODIS reflectance data. The map shows erosion...
2016
Type: Raster Data. Spatial Representation Type: grid data is used to represent geographic data. Map of soil pH for 2012. Value displayed when clicking on the map using the...
2016
Type: Raster Data. Spatial Representation Type: grid data is used to represent geographic data. Map of soil organic carbon (SOC) for 2012. Value displayed when clicking on the map...
2016
Type: Raster Data. Spatial Representation Type: grid data is used to represent geographic data. Map of soil pH for 2012. Value displayed when clicking on the map using the...
2016
Type: Raster Data. Map of soil pH for 2012. Value displayed when clicking on the map using the "Identify" button is pH*100. For a detailed description of the methods...
2016
Type: Raster Data. Predicted soil erosion prevalence in 2012 based on MODIS reflectance data. The map shows erosion in % for each MODIS pixel.
2016
Type: Raster Data. Spatial Representation Type: grid data is used to represent geographic data. Predicted soil erosion prevalence in 2012 based on MODIS reflectance data. The map shows erosion...
2016
Type: Raster Data. Spatial Representation Type: grid data is used to represent geographic data. Predicted soil erosion prevalence in 2012 based on MODIS reflectance data. The map shows erosion...
2016
Type: Raster Data. Spatial Representation Type: grid data is used to represent geographic data. Map of soil organic carbon (SOC) for 2012. Value displayed when clicking on the map...
2016
Type: Raster Data. Spatial Representation Type: grid data is used to represent geographic data. Map of soil organic carbon (SOC) for 2012. Value displayed when clicking on the map...
2016
Type: Raster Data. Spatial Representation Type: grid data is used to represent geographic data. Map of soil organic carbon (SOC) for 2012. Value displayed when clicking on the map...
2016
Type: Raster Data. Map of soil pH for 2012. Value displayed when clicking on the map using the "Identify" button is pH*100. For a detailed description of the methods...
2016
Type: Raster Data. Map of soil organic carbon (SOC) for 2012. Value displayed when clicking on the map using the "Identify" button is pH*100. For a detailed description of...
2016
Type: Raster Data. Spatial Representation Type: grid data is used to represent geographic data. Map of soil organic carbon (SOC) for 2012. Value displayed when clicking on the map...

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