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Assessment of land degradation in semiarid Tanzania using multiscale remote sensing datasets to support sustainable development goal 15.3

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Title Assessment of land degradation in semiarid Tanzania using multiscale remote sensing datasets to support sustainable development goal 15.3
 
Creator Reith, J.
Ghazaryan, G.
Muthoni, Francis K.
Dubovyk, O.
 
Subject land degradation
sustainable development goals
land productivity
land cover
landsat
vegetation
soil organic carbon
 
Description 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.
 
Date 2021
2021-07-01T09:24:57Z
2021-07-01T09:24:57Z
 
Type Journal Article
 
Identifier Reith, J., Ghazaryan, G., Muthoni, F.K. & Dubovyk, O. (2021). Assessment of land degradation in semiarid Tanzania—using multiscale remote sensing datasets to support sustainable development goal 15.3. Remote Sensing, 13(9), 1754: 1-21.
2072-4292
https://hdl.handle.net/10568/114159
https://doi.org/10.3390/rs13091754
BIOMETRICS
 
Language en
 
Rights CC-BY-4.0
Open Access
 
Format 1-21
application/pdf
 
Publisher MDPI
 
Source Remote Sensing