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SEPAL module on SDG Indicator 15.3.1

Monitoring land degradation neutrality with the good practice guidance version 2 (GPG v2)









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    Baseline land degradation status in the localities of North Kordofan state, Sudan SDG Indicator 15.3.1 2023
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    An assessment of land degradation was carried out following the UNCCD’s Good Practice Guidance (GPG) version 2 for the SDG Indicator 15.3.1 (Proportion of land that is degraded over total land area) for North Kordofan state in Sudan for baseline period of 2000 - 2015. Using the default parameters in the SEPAL SDG 15.3.1 module, one out all out statistical principle was used to combine all the sub-indicators of productivity, land cover and soil organic carbon. Percentages of land degraded within the localities in the state were computed.
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    Baseline land degradation status in the watersheds of Sennar state, Sudan SDG Indicator 15.3.1 2023
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    An assessment of land degradation was carried outfollowing the UNCCD’s Good Practice Guidance (GPG) version 2 for the SDG Indicator 15.3.1 (Proportion of land that is degraded over total land area) for Sennar state in Sudan for baseline period of 2000 - 2015. Using the default parameters in the SEPAL SDG 15.3.1 module, one out all out statistical principle was used to combine all the sub-indicators of productivity, land cover and soil organic carbon. Percentages of land degraded within the water sheds located in the state were computed.
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    Baseline land degradation status in the watersheds of White Nile state, Sudan SDG Indicator 15.3.1 2023
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    An assessment of land degradation was carried out following the UNCCD’s Good Practice Guidance (GPG) version 2 for the SDG Indicator 15.3.1 (Proportion of land that is degraded over total land area) for White Nile state in Sudan for baseline period of 2000 - 2015. Using the default parameters in the SEPAL SDG 15.3.1 module, one out all out statistical principle was used to combine all the sub-indicators of productivity, land cover and soil organic carbon. Percentages of land degraded within the water sheds located in the state were computed.

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