Title :
Estimating relationships between NDVI and climate change in Guizhou Province, Southwest China
Author :
Mao, Kun ; Li, Manchun ; Chen, Chong ; Huang, Qiuhao ; Chen, Zhenjie ; Li, Feixue ; Chen, Dong
Author_Institution :
Dept. of Geographic Inf. Sci., Nanjing Univ., Nanjing, China
Abstract :
The objective of this study was to examine the vegetation response to the climatic variation in Guizhou province, Southwest China. The relationship between vegetation and climate change was investigated with Normalized Difference Vegetation Index (NDVI) (1982-1999) images derived from the Advanced Very High Resolution Radiometer (AVHRR), and climate data acquired from 19 meteorological stations in Guizhou province. Five climate variables during the growing season (March to October): precipitation, evaporation, mean temperature, solar irradiation and water surplus (the arithmetic difference between precipitation and evaporation) at 10-day time scale were regressed on NDVI derived from 8 km×8 km pixels where the weather stations located. The main results were: (a) temperature and evaporation are the most significant climatic variables controlling vegetation condition; (b) evaporation are positive to vegetation growth at the 10-day time scale. The model also indicated that 11.8% variation in NDVI is accounted for by climate. Other factors contributing to NDVI variation include environmental factors (soil, groundwater and terrain) and sensor variation. The present study will be helpful in estimations of response of the regional terrestrial biosphere to global environmental change.
Keywords :
atmospheric precipitation; atmospheric temperature; climatology; groundwater; radiometry; remote sensing; soil; vegetation; AD 1982 to 1999; Advanced Very High Resolution Radiometer; Guizhou province; NDVI variation; Normalized Difference Vegetation Index images; Southwest China; climate change; climate data; climate variables; climatic variation; environmental factors; evaporation; groundwater; mean temperature; meteorological stations; precipitation; regional terrestrial biosphere; remote sensing; sensor variation; soil; solar irradiation; vegetation growth; vegetation response; water surplus; weather stations; Correlation; Indexes; Meteorology; Ocean temperature; Remote sensing; Vegetation; Vegetation mapping; AVHRR/NDVI; Remote Sensing; Southwest China; climate change;
Conference_Titel :
Geoinformatics, 2010 18th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-7301-4
DOI :
10.1109/GEOINFORMATICS.2010.5568222