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.

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Flagship 1: Tree genetic resources to bridge production gaps and promote resilience
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Flagship 2: Enhancing how trees and forests contribute to smallholder livelihoods
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Flagship 3: Sustainable value chains and investments to support forest conservation and equitable development
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Flagship 4: Landscape dynamics, productivity and resilience
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Flagship 5: Forests, trees and agroforestry for climate change adaptation and mitigation
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Gender
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type="checkbox" name="crossCutting[]" value="Melia">
Monitoring, evaluation, learning and impact assessment (MELIA)
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Capacity development
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Restoration
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type="checkbox" name="priority[]" value="Plantations%20and%20tree%20crop%20commodities">
Plantations and tree crop commodities
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Enhanced nutrition and food security
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type="checkbox" name="priority[]" value="Biodiversity,%20safeguarding%20and%20conservation">
Biodiversity, safeguarding and conservation
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type="checkbox" name="priority[]" value="NDCs%20(Nationally%20Determined%20Contributions%20of%20the%20Paris%20Agreement%20on%20Climate%20Change)">
Nationally Determined Contributions (NDCs)
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Bioenergy
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Blue carbon and peatlands
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Climate change adaptation
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Landscape governance
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type="checkbox" name="priority[]" value="Gender%20equitable%20outcome">
Gender
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Silvopastoral systems
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type="checkbox" name="priority[]" value="Market-based%20agroforestry-forestry">
Market-based agroforestry-forestry
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type="checkbox" name="priority[]" value="Farm-forest%20policy%20interface">
Farm-forest policy interface
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Agroecology
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type="checkbox" name="priority[]" value="Livelihood%20trajectory%20modelling%20and%20assessment">
Livelihood trajectory modelling and assessment
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Inclusive finance and business models
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type="checkbox" name="priority[]" value="Innovating%20finance%20for%20sustainable%20landscapes">
Innovating finance for sustainable landscapes
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type="checkbox" name="priority[]" value="Public%20and%20private%20commitments%20to%20zero%20deforestation">
Public and private commitments to zero deforestation
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Orphan tree crops
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type="checkbox" name="priority[]" value="Effectiveness%20of%20approaches%20to%20sustainable%20supply%20(certification,%20FLEGT)">
Effectiveness of approaches to sustainable supply
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Quality of FTA research for development
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Sentinel landscapes
Displaying 1 - 20 of 192

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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...

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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...

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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.

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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....

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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...

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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...

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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...

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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...

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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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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...

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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...

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Type: Raster Data. Predicted soil erosion prevalence in 2012 based on MODIS reflectance data. The map shows erosion in % for each MODIS pixel.

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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...

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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...

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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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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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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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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...

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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...

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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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