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dc.contributorDe Pauw, Eddyen_US
dc.contributorZucca, Claudioen_US
dc.creatorWu, Weichengen_US
dc.date.accessioned2017-07-23T22:11:16Z
dc.date.available2017-07-23T22:11:16Z
dc.identifierhttps://www.tandfonline.com/doi/abs/10.1080/17538947.2013.825656?journalCode=tjde20en_US
dc.identifierhttps://mel.cgiar.org/reporting/download/hash/tcIvGmOven_US
dc.identifier.citationWeicheng Wu, Eddy De Pauw, Claudio Zucca. (5/9/2013). Using remote sensing to assess impacts of land management policies in the Ordos rangelands in China. International Journal of Digital Earth, 6 (2), pp. 81-102.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/7194
dc.description.abstractImplementation of land management policies influences land use and hence causes environmental change. Taking the Ordos rangelands in China as a case study, this paper explores the potential of remote sensing to assess in dryland areas the impacts of policies on the environment. Thirteen Landsat images of the period 1978 2010 were acquired and those corresponding to the starting dates of implementation of different policies were selected for land-cover change analysis; others were used to check the detected change and track the normalized difference vegetation index (NDVI) trajectory matched with time series of meteorological data for calibration of natural response of rangelands to rainfall. The results indicate that policy impacts are complex and include both positive and negative aspects depending on the locality in space. On one hand, policies have aroused the enthusiasm of people in agricultural production and sandcontrol leading to the recovery of about 2618 km2 of desertified rangeland and sandy land, and economic growth, on the other hand, provoked vegetation degradation with an accumulated area of 2439 km2 when policies cannot reconcile the conflict between environmental protection and the interest of rural people. However, degradation is not absolute and can be mitigated by the implementation of rational policies.en_US
dc.formatPDFen_US
dc.languageenen_US
dc.publisherTaylor & Francis: STM, Behavioural Science and Public Health Titlesen_US
dc.rightsCC-BY-NC-4.0en_US
dc.sourceInternational Journal of Digital Earth;6,(2013) Pagination 81-102en_US
dc.subjectspatial variabilityen_US
dc.subjectland use/cover changeen_US
dc.subjectmulti-temporal remote sensingen_US
dc.subjecthuman interventionen_US
dc.subjectndvi trajectoryen_US
dc.titleUsing remote sensing to assess impacts of land management policies in the Ordos rangelands in Chinaen_US
dc.typeJournal Articleen_US
dcterms.available2013-09-05en_US
dcterms.extent81-102en_US
cg.creator.idZucca, Claudio: 0000-0002-8636-0511en_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerIndependent / Not associateden_US
cg.contributor.crpCGIAR Research Program on Dryland Systems - DSen_US
cg.contributor.funderInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.projectCommunication and Documentation Information Services (CODIS)en_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.coverage.regionEastern Asiaen_US
cg.coverage.countryCNen_US
cg.contactw.wu@cgiar.orgen_US
cg.identifier.doihttps://dx.doi.org/10.1080/17538947.2013.825656en_US
cg.isijournalISI Journalen_US
dc.identifier.statusOpen accessen_US
mel.impact-factor2.746en_US
cg.issn1753-8947en_US
cg.journalInternational Journal of Digital Earthen_US
cg.issue2en_US
cg.volume6en_US


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