Desertification monitoring by LANDSAT TM satellite imagery

Guishan Cui, Woo-Kyun Lee, Doo Ahn Kwak, Sungho Choi, Taejin Park, Jongyeol Lee

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

The 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.

Original languageEnglish
Pages (from-to)110-116
Number of pages7
JournalForest Science and Technology
Volume7
Issue number3
DOIs
Publication statusPublished - 2011 Sep 1

Fingerprint

desertification
satellite imagery
monitoring
deserts
desert
sand
vegetation index
land cover
NDVI
soil
farming systems
grasslands
grassland
vegetation
China

Keywords

  • desertification
  • LANDSAT TM
  • monitoring
  • MSAVI
  • NDVI
  • remote sensing

ASJC Scopus subject areas

  • Forestry
  • Management, Monitoring, Policy and Law

Cite this

Desertification monitoring by LANDSAT TM satellite imagery. / Cui, Guishan; Lee, Woo-Kyun; Kwak, Doo Ahn; Choi, Sungho; Park, Taejin; Lee, Jongyeol.

In: Forest Science and Technology, Vol. 7, No. 3, 01.09.2011, p. 110-116.

Research output: Contribution to journalArticle

Cui, Guishan ; Lee, Woo-Kyun ; Kwak, Doo Ahn ; Choi, Sungho ; Park, Taejin ; Lee, Jongyeol. / Desertification monitoring by LANDSAT TM satellite imagery. In: Forest Science and Technology. 2011 ; Vol. 7, No. 3. pp. 110-116.
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