title: [Temporal and spatial variation of MODIS vegetation indices in Hunan Province].
abstract: Based on MODIS images and by using the algorithm of maximum value composite (MVC), the monthly vegetation indices (VIs) in 2005 in Hunan Province were obtained. Through the analysis of the MODIS VIs, Hunan Province was divided into six districts to describe the spatial distribution of the VIs, and by using the monthly mean temperature and rainfall data collected from 5 climatic monitoring stations in this province, the temporal variation of the VIs was analyzed. The results showed that the spatial distribution of MODIS VIs was positively correlated with vegetation cover, and appeared regional characteristics. The MODIS VIs varied with season, and the curves of their monthly mean values were downwards opening quadratic parabolas, with the maximum appeared in July. The value of MODIS EVI was smaller than that of MODIS NDVI. MODIS VI was mainly affected by monthly mean temperature, but this effect was decreased with decreasing latitude. The variation pattern of MODIS EVI was more apparent than that of MODIS NDVI, i. e. , the quadratic parabola of MODIS EVI was smoother, going gradually from minimum to maximum and then going down, while that of MODIS NDVI had tiny fluctuations on both sides of the maximum point.
authors.affiliation: Research Centre of Remote Sensing and Information Engineering, Central South University of Forestry & Technology, Changsha 410004, China. linhui88@sina.com
authors.forename: Hui
authors.initials: H
authors.lastname: Lin
authors.forename: Yu-Jiu
authors.initials: YJ
authors.lastname: Xiong
authors.forename: Ling-Feng
authors.initials: LF
authors.lastname: Wan
authors.forename: Deng-Kui
authors.initials: DK
authors.lastname: Mo
authors.forename: Hua
authors.initials: H
authors.lastname: Sun
mesh_terms: D002681:China; D018556:Crops, Agricultural / Q000254:growth & development*; D004784:Environmental Monitoring / Q000295:instrumentation* / Q000379:methods; D040362:Geographic Information Systems / Q000295:instrumentation / Q000706:statistics & numerical data; D006109:Poaceae / Q000254:growth & development*; D017215:Satellite Communications; D014197:Trees / Q000254:growth & development*