- Title
- Sudan - Soil erosion, 2019-2020
- License
- Open Data Commons Open Database License / OSM (ODbL/OSM)
-
+ You are free to copy, distribute, transmit and adapt our data, as long as you credit OpenStreetMap and its contributors
+ If you alter or build upon our data, you may distribute the result only under the same licence.
+ For more info see http://www.openstreetmap.org/copyright. - Abstract
Map showing predicted erosion (%) for six states in Sudan based on the Land Degradation Surveillance Framework (LDSF) data and predictive models.
Selected references:
Vågen, T.-G., Winowiecki, L. A., Neely, C., Chesterman, S., & Bourne, M. (2018). Spatial assessments of soil organic carbon for stakeholder decision-making – a case study from Kenya. SOIL, 4(4), 259–266. https://doi.org/10.5194/soil-4-259-2018Vågen, T.-G. T.-G., & Winowiecki, L. A. (2013). Mapping of soil organic carbon stocks for spatially explicit assessments of climate change mitigation potential. Environmental Research Letters, 8(1), 015011. https://doi.org/10.1088/1748-9326/8/1/015011
Winowiecki, L., Vågen, T.-G., & Huising, J. (2016). Effects of land cover on ecosystem services in Tanzania: A spatial assessment of soil organic carbon. Geoderma, 263, 274–283. https://doi.org/10.1016/j.geoderma.2015.03.010
Vågen, T.-G., Winowiecki, L. A., Abegaz, A., & Hadgu, K. M. (2013). Landsat-based approaches for mapping of land degradation prevalence and soil functional properties in Ethiopia. Remote Sensing of Environment, 134, 266–275.
- Publication Date
- July 27, 2021, 9:04 a.m.
- Type
- Raster Data
- Category
- Environment
- environmental resources, protection and conservation. Examples: environmental pollution, waste storage and treatment, environmental impact assessment, monitoring environmental risk, nature reserves, landscape
- Regions
- Sudan
- Owner
- tor
- Restrictions
- formal permission to do something
- Edition
- v1
- Language
- English
- Temporal Extent
- Jan. 1, 2019, 9:27 a.m. - Dec. 31, 2020, 9:27 a.m.
- Supplemental Information
No information provided
- Spatial Representation Type
- grid data is used to represent geographic data
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