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

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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-4-259-2018

Vågen, 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
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
More info
-
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
Attribute Name Label Description Range Average Median Standard Deviation
GRAY_INDEX NA

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  • About

    Owner, Point of Contact, Metadata Author

    tor
    tor

    World Agroforestry Centre (ICRAF)