Sensitivity analysis of response of land cover change to climate change from 1992 to 2000 across Xinjiang

  • Shunli Chang
  • , Qingdong Shi
  • , Xiaoling Pan*
  • , Guanghui Lv
  • , Suling Zhao
  • , Zhiqiang Gao
  • , Wei Gao
  • *Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations

Abstract

Heat, precipitation and humidity affect vegetation types and their distribution. However, their degree of effects is highly spatial and temporal dependent. When we study the major factors which affect vegetation cover, we need define a specific region and a time period. In order to study land cover and vegetation change in Xinjiang and to probe its driving force from 1992 to 2000, we analyzed sensitivity of land-cover to climate change using Remote Sensing (RS) and Geographic Information System (GIS) with multi-temporal NOAA/AVHRR NDVI images. Major factors we considered in this study were temperature, precipitation, humidity and their long-term and seasonal impacts on land cover and vegetation change. Results provided different sensative levels as following: bare lands, partialy vegetated lands, agriculture uses and water bodies. Concerning meteorological parameters impact we found in eastern Xinjiang humidity was more important than temperature and precipitation, in southern Xinjiang precipitation had more impact than temperature and humidity, and in both northern Xinjiang and Ili area temperature was more imporatant than precipitation and humidity.

Original languageEnglish
Pages (from-to)289-301
Number of pages13
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5153
StatePublished - 2003
Externally publishedYes
EventEcosystems Dynamics, Agricultural Remote Sensing and Modeling, and Site - Specific Agriculture - San Diego, CA, United States
Duration: 7 Aug 20037 Aug 2003

Keywords

  • Climate change
  • Land cover change
  • NDVI
  • Sensitivity analysis

Fingerprint

Dive into the research topics of 'Sensitivity analysis of response of land cover change to climate change from 1992 to 2000 across Xinjiang'. Together they form a unique fingerprint.

Cite this