Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/13125
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dc.contributor.authorAlbalawi, Eman Khaliden
dc.contributor.authorKumar, Laliten
dc.date.accessioned2013-07-26T14:04:00Z-
dc.date.issued2013-
dc.identifier.citationJournal of Food, Agriculture and Environment, 11(2), p. 791-797en
dc.identifier.issn1459-0263en
dc.identifier.issn1459-0255en
dc.identifier.urihttps://hdl.handle.net/1959.11/13125-
dc.description.abstractDesertification is a serious global environmental problem that affects many people directly in countries with semi-arid or arid climates. The causes of desertification are diverse and complicated, ranging from international economic activities to unsustainable land use practices of local communities. The consequence of desertification reduces the ability of the land to support life and decreases biodiversity. Natural processes and artificial forces initiate this process. Natural causes of desertification include climatic factors drought, and water or wind erosion. Human induced activities that can cause desertification include over-cultivation, overgrazing, deforestation, and poor water management.The aim of this paper is to analyse how remote sensing and GIS have been used to monitor desertification globally. Remote sensing has proven to be efficient in detecting desertification processes including changes in natural vegetation, land use, and soil. Multi-temporal coverage provided by satellite data facilitates the use of remote sensing imagery to monitor changes in land coverage and usage over time. Remote sensing data and GIS are critical for extracting reliable information important for assessing environmental changes and land quality in any given region. Various techniques in remote sensing combined with analytical methods such as NDVI or classification provide primary data that can be used to assess desertification processes. Several key indicators of the processes of desertification are identified where remote sensing can be used to detect, monitor, and map affected areas. Changing vegetation and land use, drought, soil, erosion, and urbanization are the most common indicators of desertification used by researchers. Results of studies can be used to make important management, environmental, and political decisions. Therefore, care, must be taken to use recent imagery, select the appropriate technique, and to include as much additional data as possible so that reliable and robust results are obtained.en
dc.languageenen
dc.publisherWorld Food RD Ltden
dc.relation.ispartofJournal of Food, Agriculture and Environmenten
dc.titleUsing remote sensing technology to detect, model and map desertification: A reviewen
dc.typeJournal Articleen
dc.subject.keywordsPhotogrammetry and Remote Sensingen
local.contributor.firstnameEman Khaliden
local.contributor.firstnameLaliten
local.subject.for2008090905 Photogrammetry and Remote Sensingen
local.subject.seo2008960510 Ecosystem Assessment and Management of Sparseland, Permanent Grassland and Arid Zone Environmentsen
local.profile.schoolEnvironmental and Rural Scienceen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailealbalaw@une.edu.auen
local.profile.emaillkumar@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20130725-151640en
local.publisher.placeFinlanden
local.format.startpage791en
local.format.endpage797en
local.peerreviewedYesen
local.identifier.volume11en
local.identifier.issue2en
local.title.subtitleA reviewen
local.contributor.lastnameAlbalawien
local.contributor.lastnameKumaren
dc.identifier.staffune-id:ealbalawen
dc.identifier.staffune-id:lkumaren
local.profile.orcid0000-0002-9205-756Xen
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:13336en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleUsing remote sensing technology to detect, model and map desertificationen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.relation.urlhttp://world-food.net/using-remote-sensing-technology-to-detect-model-and-map-desertification-a-review/en
local.search.authorAlbalawi, Eman Khaliden
local.search.authorKumar, Laliten
local.uneassociationUnknownen
local.year.published2013en
local.subject.for2020401304 Photogrammetry and remote sensingen
local.subject.seo2020180601 Assessment and management of terrestrial ecosystemsen
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School of Environmental and Rural Science
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