Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/9224
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dc.contributor.authorLopez-Carr, David Lawrence-
dc.contributor.authorMwenda, Kevin M.-
dc.contributor.authorPricope, Narcisa G.-
dc.contributor.authorKyriakidis, Phaedon-
dc.contributor.authorJankowska, Marta M.-
dc.contributor.authorWeeks, John R.-
dc.contributor.authorFunk, Chris C.-
dc.contributor.authorHusak, Gregory J.-
dc.contributor.authorMichaelsen, Joel C.-
dc.contributor.otherΚυριακίδης, Φαίδων-
dc.date.accessioned2017-01-24T11:29:29Z-
dc.date.available2017-01-24T11:29:29Z-
dc.date.issued2016-06-01-
dc.identifier.citationIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, vol. 9, no. 6, pp. 2830-2835en_US
dc.identifier.issn2151-1535-
dc.description.abstractDespite growing research into the socio-economic aspects of vulnerability [1]-[4], relatively little work has linked population dynamics with climate change beyond the complex relationship between migration and climate change [5]. It is likely, however, that most people experience climate change in situ, so understanding the role of population dynamics remains critical. How a given number of people, in a given location and with varying population characteristics may exacerbate or mitigate the impacts of climate change or how, conversely, they may be vulnerable to climate change impacts are basic questions that remain largely unresolved [6]. This paper explores where and to what extent population dynamics intersect with high exposure to climate change. Specifically, in Eastern Africa's Lake Victoria Basin (LVB), a climate change/health vulnerability hotspot we have identified in prior research [7], we model child undernutrition vulnerability indices based on climate variables, including proxy measures (NDVI) derived from satellite imagery, at a 5-km spatial resolution. Results suggest that vegetation changes associated with precipitation decline in rural areas of sub-Saharan Africa can help predict deteriorating child health.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensingen_US
dc.rights© IEEEen_US
dc.subjectClimateen_US
dc.subjectLake Victoria Basin (LVB)en_US
dc.subjectStuntingen_US
dc.subjectUndernutritionen_US
dc.subjectNDVIen_US
dc.subjectVulnerabilityen_US
dc.titleClimate-related child undernutrition in the lake Victoria basin: an integrated spatial analysis of health surveys, ndvi, and precipitation dataen_US
dc.typeArticleen_US
dc.collaborationUniversity of Californiaen_US
dc.collaborationThe University of North Carolina Wilmingtonen_US
dc.collaborationCyprus University of Technologyen_US
dc.subject.categoryEarth and Related Environmental Sciencesen_US
dc.journalsOpen Accessen_US
dc.countryUnited Statesen_US
dc.countryCyprusen_US
dc.subject.fieldNatural Sciencesen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1109/JSTARS.2016.2569411en_US
dc.relation.issue6en_US
dc.relation.volume9en_US
cut.common.academicyear2020-2021en_US
dc.identifier.spage2830en_US
dc.identifier.epage2835en_US
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.openairetypearticle-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0003-4222-8567-
crisitem.author.parentorgFaculty of Engineering and Technology-
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