Land use following deforestation in Ethiopia
These datasets were generated from the research article "Using high-resolution imagery and deep learning to classify land-use following deforestation: a case study in Ethiopia". Here we publish the yearly time series maps showing land use following deforestation across Ethiopia produced at 10m resolution covering the year 2001 to 2015 (15 years). The land use maps are derived from sentinel-2 images using U-Net deep neural network architecture enhanced with attention. The dataset has eleven land use classes with values ranging from 1 -11, where 1: Larger-scale cropland, 2: Pasture, 3: Mining, 4: Small-scale cropland, 5: Roads, 6: Other land with tree cover, 7: Plantation forest, 8: Coffee, 9: Settlement, 10: Tea plantation, and 11: Water. The data is accompanied by the sld and qml file in a zip folder (Visualisation_layer_descriptor_sld_and_qml) to aid in visualisation or legend creation. Data Visualisation at 10m resolution: https://robertnag82.users.earthengine.app/view/deforestationdriverethiopia
| Main Authors: | , , , , , , , , |
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| Format: | Dataset biblioteca |
| Published: |
Wageningen University & Research
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| Subjects: | Life Science, |
| Online Access: | https://research.wur.nl/en/datasets/land-use-following-deforestation-in-ethiopia |
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| Summary: | These datasets were generated from the research article "Using high-resolution imagery and deep learning to classify land-use following deforestation: a case study in Ethiopia". Here we publish the yearly time series maps showing land use following deforestation across Ethiopia produced at 10m resolution covering the year 2001 to 2015 (15 years). The land use maps are derived from sentinel-2 images using U-Net deep neural network architecture enhanced with attention. The dataset has eleven land use classes with values ranging from 1 -11, where 1: Larger-scale cropland, 2: Pasture, 3: Mining, 4: Small-scale cropland, 5: Roads, 6: Other land with tree cover, 7: Plantation forest, 8: Coffee, 9: Settlement, 10: Tea plantation, and 11: Water. The data is accompanied by the sld and qml file in a zip folder (Visualisation_layer_descriptor_sld_and_qml) to aid in visualisation or legend creation. Data Visualisation at 10m resolution: https://robertnag82.users.earthengine.app/view/deforestationdriverethiopia |
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