干旱区生态环境知识资源中心(Arid): Assessment of Land Degradation in Semiarid Tanzania-Using Multiscale Remote Sensing Datasets to Support Sustainable Development Goal 15.3

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DOI	10.3390/rs13091754
	Assessment of Land Degradation in Semiarid Tanzania-Using Multiscale Remote Sensing Datasets to Support Sustainable Development Goal 15.3
	Reith, Jonathan; Ghazaryan, Gohar; Muthoni, Francis; Dubovyk, Olena
通讯作者	Reith, J (corresponding author), Fed Stat Off Germany, D-53117 Bonn, Germany. ; Reith, J (corresponding author), Univ Bonn, Ctr Remote Sensing Land Surfaces ZFL, D-53113 Bonn, Germany. ; Reith, J (corresponding author), Int Inst Trop Agr IITA, POB 10, Arusha, Tanzania.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2021
卷号	13 期号:9
英文摘要	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.
英文关键词	land degradation neutrality SDG land productivity land cover NDVI Landsat vegetation-precipitation relationship soil organic carbon Google Earth Engine
类型	Article
语种	英语
开放获取类型	Green Published, gold
收录类别	SCI-E
WOS记录号	WOS:000650737900001
WOS关键词	MODIS TIME-SERIES ; RESOLUTION ; NEUTRALITY ; SCIENCE ; DECLINE
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/351523
作者单位	[Reith, Jonathan] Fed Stat Off Germany, D-53117 Bonn, Germany; [Reith, Jonathan; Ghazaryan, Gohar; Dubovyk, Olena] Univ Bonn, Ctr Remote Sensing Land Surfaces ZFL, D-53113 Bonn, Germany; [Reith, Jonathan; Muthoni, Francis] Int Inst Trop Agr IITA, POB 10, Arusha, Tanzania; [Ghazaryan, Gohar; Dubovyk, Olena] Univ Bonn, Dept Geog, Remote Sensing Res Grp RSRG, D-53115 Bonn, Germany; [Ghazaryan, Gohar] Leibniz Ctr Agr Landscape Res ZALF, D-15374 Muncheberg, Germany
推荐引用方式 GB/T 7714	Reith, Jonathan,Ghazaryan, Gohar,Muthoni, Francis,et al. Assessment of Land Degradation in Semiarid Tanzania-Using Multiscale Remote Sensing Datasets to Support Sustainable Development Goal 15.3[J],2021,13(9).
APA	Reith, Jonathan,Ghazaryan, Gohar,Muthoni, Francis,&Dubovyk, Olena.(2021).Assessment of Land Degradation in Semiarid Tanzania-Using Multiscale Remote Sensing Datasets to Support Sustainable Development Goal 15.3.REMOTE SENSING,13(9).
MLA	Reith, Jonathan,et al."Assessment of Land Degradation in Semiarid Tanzania-Using Multiscale Remote Sensing Datasets to Support Sustainable Development Goal 15.3".REMOTE SENSING 13.9(2021).