Land cover transformation feature understanding by MODIS and response to climate in upper stream of Yellow River

Wei Ouyang, Andrew Skidmore, Fanghua Hao, Chen Zhao, Huaping Yao, Xuan Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)

Abstract

The vegetation quality in upper catchment of the Yellow River is critical for ecological stability in the whole watershed, which is also sensitive to climate change. The dominant land covers in this region are grassland and forest, which intensively affect water quality and quantity, soil erosion for whole watershed. With MODIS products on twelve dates in 2000, 2003, 2006, the normalized difference vegetation index (NDVI) for grassland and forest was calculated with the reference data and the daily vegetation NDVI variation regression models in three years were deduced. Then, three watershed annual climatic indicators (i.e. yearly accumulated precipitation, highest and lowest temperature) were averaged from nine weather stations. After that, the inter-annual grassland and forest NDVI variation principles with three indices were regressed. Except the lowest temperature, the yearly precipitation and highest temperature had strong correlation with two community vegetations NDVI. The correlation coefficients of four regression models ranged from 0.8690 to 0.9768. Furthermore, the NDVI responses to monthly precipitation, highest temperature and lowest temperature were analyzed. The vegetation NDVI and three climatic indices had strong positive correlations and the coefficient was larger than 0.7331. The monthly correlation also provides the threshold value of three climatic indictors, which is the starting point for vegetation growth. Consequently, the daily weather information may be used to predict regional vegetation NDVI. Meteorological indictor may simulate the regional grassland and forest NDVI simulated with climate change considerations, which is critical for vegetation quality assessment and regional environmental management.

Original languageEnglish
Title of host publicationISPRS 2008 : Proceedings of the XXIth ISPRS Congress, "Silk Road for Information from Imagery", from 3 to 11 July 2008 in Beijing, China.
Place of PublicationBeijing
Pages619-626
Number of pages8
Volume37
Publication statusPublished - 1 Jan 2008
Externally publishedYes
Event21st Congress of the International Society for Photogrammetry and Remote Sensing 2008 - Beijing, China
Duration: 3 Jul 200811 Jul 2008
Conference number: 21
http://www.isprs.org/congresses/beijing2008/default.aspx
https://www.isprs.org/proceedings/XXXVII/congress/tc7.aspx

Publication series

NameInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
PublisherCopernicus Publications
ISSN (Print)1682-1750

Conference

Conference21st Congress of the International Society for Photogrammetry and Remote Sensing 2008
Abbreviated titleISPRS 2008
CountryChina
CityBeijing
Period3/07/0811/07/08
Internet address

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Keywords

  • Climatic variation
  • Correlation analysis
  • MODIS
  • Vegetation transformation
  • Yellow River
  • ITC-GOLD

Cite this

Ouyang, W., Skidmore, A., Hao, F., Zhao, C., Yao, H., & Zhang, X. (2008). Land cover transformation feature understanding by MODIS and response to climate in upper stream of Yellow River. In ISPRS 2008 : Proceedings of the XXIth ISPRS Congress, "Silk Road for Information from Imagery", from 3 to 11 July 2008 in Beijing, China. (Vol. 37, pp. 619-626). (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives). Beijing.