Title | ||
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Assessment Of Land Degradation In Semiarid Tanzania-Using Multiscale Remote Sensing Datasets To Support Sustainable Development Goal 15.3 |
Abstract | ||
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Monitoring land degradation (LD) to improve the measurement of the sustainable development goal (SDG) 15.3.1 indicator ("proportion of land that is degraded over a total land area") is key to ensure a more sustainable future. Current frameworks rely on default medium-resolution remote sensing datasets available to assess LD and cannot identify subtle changes at the sub-national scale. This study is the first to adapt local datasets in interplay with high-resolution imagery to monitor the extent of LD in the semiarid Kiteto and Kongwa (KK) districts of Tanzania from 2000-2019. It incorporates freely available datasets such as Landsat time series and customized land cover and uses open-source software and cloud-computing. Further, we compared our results of the LD assessment based on the adopted high-resolution data and methodology (AM) with the default medium-resolution data and methodology (DM) suggested by the United Nations Convention to Combat Desertification. According to AM, 16% of the area in KK districts was degraded during 2000-2015, whereas DM revealed total LD on 70% of the area. Furthermore, based on the AM, overall, 27% of the land was degraded from 2000-2019. To achieve LD neutrality until 2030, spatial planning should focus on hotspot areas and implement sustainable land management practices based on these fine resolution results. |
Year | DOI | Venue |
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2021 | 10.3390/rs13091754 | REMOTE SENSING |
Keywords | DocType | Volume |
land degradation neutrality, SDG, land productivity, land cover, NDVI, Landsat, vegetation-precipitation relationship, soil organic carbon, Google Earth Engine | Journal | 13 |
Issue | Citations | PageRank |
9 | 0 | 0.34 |
References | Authors | |
0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jonathan Reith | 1 | 0 | 0.34 |
Gohar Ghazaryan | 2 | 0 | 0.68 |
Francis Muthoni | 3 | 0 | 0.34 |
Olena Dubovyk | 4 | 0 | 1.35 |