• Contact Us
    • Send Feedback
    • Login
    View Item 
    •   Home
    • Journal and Journal Articles
    • Journal and Journal Articles
    • View Item
    •   Home
    • Journal and Journal Articles
    • Journal and Journal Articles
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    Whole Repository
    CollectionsIssue DateRegionCountryHubAffiliationAuthorsTitlesSubject
    This Sub-collection
    Issue DateRegionCountryHubAffiliationAuthorsTitlesSubject

    My Account

    Login

    Welcome to the International Institute of Tropical Agriculture Research Repository

    What would you like to view today?

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

    Thumbnail
    View/Open
    Journal Article (1.630Mb)
    Date
    2021
    Author
    Reith, J.
    Ghazaryan, G.
    Muthoni, F.K.
    Dubovyk, O.
    Type
    Journal Article
    Review Status
    Internal Review
    Target Audience
    Scientists
    Metadata
    Show full item record
    Abstract/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.
    https://dx.doi.org/10.3390/rs13091754
    Multi standard citation
    Permanent link to this item
    https://hdl.handle.net/20.500.12478/7151
    Digital Object Identifier (DOI)
    https://dx.doi.org/10.3390/rs13091754
    Research Themes
    Biometrics
    IITA Subjects
    Agronomy; Biometrics; Climate Change; Land Use; Meteorology and Climatology; Natural Resource Management; Plant Breeding; Plant Production
    Agrovoc Terms
    Land Degradation; Sustainable Development Goals; Land Productivity; Land Cover; Landsat; Vegetation; Soil Organic Carbon
    Regions
    Africa; East Africa
    Countries
    Tanzania
    Hubs
    Eastern Africa Hub
    Journals
    Remote Sensing
    Collections
    • Journal and Journal Articles4839
    copyright © 2019  IITASpace. All rights reserved.
    IITA | Open Access Repository