Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Desertification monitoring by LANDSAT TM satellite imagery

Full metadata record
DC Field Value Language
dc.contributor.authorCui, G.-
dc.contributor.authorLee, W.-K.-
dc.contributor.authorKwak, D.-A.-
dc.contributor.authorChoi, S.-
dc.contributor.authorPark, T.-
dc.contributor.authorLee, J.-
dc.date.accessioned2021-09-07T20:48:49Z-
dc.date.available2021-09-07T20:48:49Z-
dc.date.created2021-06-17-
dc.date.issued2011-
dc.identifier.issn2158-0103-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/114702-
dc.description.abstractThe desertification tendency of the Qubqi Desert in China for 10 years was investigated using vegetation and soil change indices extracted from seven LANDSAT TM images. To identify the desertification tendency, two methods were applied. In the first, the desertification extent and tendency were determined by classifying the land cover into the following four categories using the Normalized Difference Vegetation Index (NDVI): floating desert area, half-fixed sand area, fixed sand area, and grassland. In the second, the degree of desertification was classified using the Modified Soil Adjusted Vegetation Index (MSAVI): primitive state, latent state, slight desertification, medium desertification, and high-degree desertification. The study results demonstrated that expansion of desertification was mostly clear in the eastern Qubqi and the neighboring farming land area. © 2011 Copyright Taylor and Francis Group, LLC.-
dc.languageEnglish-
dc.language.isoen-
dc.titleDesertification monitoring by LANDSAT TM satellite imagery-
dc.typeArticle-
dc.contributor.affiliatedAuthorLee, W.-K.-
dc.identifier.doi10.1080/21580103.2011.594607-
dc.identifier.scopusid2-s2.0-84872515636-
dc.identifier.bibliographicCitationForest Science and Technology, v.7, no.3, pp.110 - 116-
dc.relation.isPartOfForest Science and Technology-
dc.citation.titleForest Science and Technology-
dc.citation.volume7-
dc.citation.number3-
dc.citation.startPage110-
dc.citation.endPage116-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.identifier.kciidART001595181-
dc.description.journalClass1-
dc.description.journalRegisteredClassscopus-
dc.description.journalRegisteredClasskci-
dc.description.journalRegisteredClassother-
dc.subject.keywordAuthordesertification-
dc.subject.keywordAuthorLANDSAT TM-
dc.subject.keywordAuthormonitoring-
dc.subject.keywordAuthorMSAVI-
dc.subject.keywordAuthorNDVI-
dc.subject.keywordAuthorremote sensing-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Life Sciences and Biotechnology > Division of Environmental Science and Ecological Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher LEE, Woo Kyun photo

LEE, Woo Kyun
생명과학대학 (환경생태공학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE