• July 27, 2021, 9:11 a.m.

No abstract provided

• July 27, 2021, 9:04 a.m.

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.

• July 27, 2021, 9:38 a.m.

DOWNLOAD LAYER HERE [ http://landscapeportal.org/uploaded/layers/sudan_ph_lc8_2019_2020_30m.tiff ] Map showing predicted soil pH 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.

• July 27, 2021, 7:59 a.m.

Map showing predicted SOC 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. https://doi.org/10.1016/j.rse.2013.03.006