Impact of sustainable land management on vegetation cover using remote sensing in Magera micro Watershed, Omo Gibe Basin, Ethiopia

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cg.contributor.donorUK Research and Innovationen
cg.coverage.countryEthiopia
cg.coverage.iso3166-alpha2ET
cg.coverage.regionEastern Africa
cg.coverage.subregionOmo Gibe Basin
cg.coverage.subregionMagera Watershed
cg.creator.identifierAlemseged Tamiru Haile: 0000-0001-8647-2188en
cg.identifier.doihttps://doi.org/10.1016/j.jag.2021.102495en
cg.identifier.iwmilibraryH050722en
cg.isijournalISI Journalen
cg.issn0303-2434en
cg.issn1569-8432en
cg.journalInternational Journal of Applied Earth Observation and Geoinformationen
cg.reviewStatusPeer Reviewen
cg.volume103en
dc.contributor.authorAssefa, A.en
dc.contributor.authorHaile, Alemseged Tamiruen
dc.contributor.authorDhanya, C. T.en
dc.contributor.authorWalker, D. W.en
dc.contributor.authorGowing, J.en
dc.contributor.authorParkin, G.en
dc.date.accessioned2021-10-31T06:41:28Zen
dc.date.available2021-10-31T06:41:28Zen
dc.identifier.urihttps://hdl.handle.net/10568/115749
dc.titleImpact of sustainable land management on vegetation cover using remote sensing in Magera micro Watershed, Omo Gibe Basin, Ethiopiaen
dcterms.abstractThe hydrological impact of many expensive investments on watershed interventions remains unquantified due to lack of time series data. In this study, remote sensing imagery is utilized to quantify and detect vegetation cover change in Magera micro-watershed, Ethiopia, where sustainable land management interventions have been implemented. Normalized difference vegetation index (NDVI) values were retrieved for the period 2010 to 2019, which encompasses before, during and after the interventions. Mann-Kendal trend test was used to detect temporal trends in the monthly NDVI values. In addition, multiple change-point analyses were carried out using Pettitt’s, Buishand’s and Standard Normal Homogeneity (SNH) tests to detect any abrupt changes due to the watershed interventions. The possible influence of rainfall on changes in vegetation cover was investigated. A significant increasing trend (from 1.5% to 33%) was detected for dense vegetation at the expense of a significant reduction in bare land from 40.9% to 0.6% over the analysis period. An abrupt change in vegetation cover was detected in 2015 in response to the interventions. A weak and decreasing correlation was obtained between monthly rainfall magnitude and NDVI values, which indicates that the increase in vegetation cover is not from rainfall influences. The study shows that the sustainable land management has an overall positive impact on the study area. The findings of this research support the applicability of remote sensing approaches to provide useful information on the impacts of watershed intervention investments.en
dcterms.accessRightsOpen Access
dcterms.bibliographicCitationAssefa, A.; Haile, Alemseged Tamiru; Dhanya, C. T.; Walker, D. W.; Gowing, J.; Parkin, G. 2021. Impact of sustainable land management on vegetation cover using remote sensing in Magera micro Watershed, Omo Gibe Basin, Ethiopia. International Journal of Applied Earth Observation and Geoinformation, 103:102495. [doi: https://doi.org/10.1016/j.jag.2021.102495]en
dcterms.extent103:102495en
dcterms.issued2021-12en
dcterms.languageen
dcterms.licenseCC-BY-NC-ND-4.0
dcterms.publisherElsevieren
dcterms.subjectsustainable land managementen
dcterms.subjectnormalized difference vegetation indexen
dcterms.subjectwatershed managementen
dcterms.subjectremote sensingen
dcterms.subjectsatellite imageryen
dcterms.subjectdatasetsen
dcterms.subjectland cover mappingen
dcterms.subjecthydrological factorsen
dcterms.subjectrainen
dcterms.typeJournal Article

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