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Impact of Drought on the Vegetation State Using MODIS/EVI Time- ser ies Data
利用MODIS/EVI 时间序列数据分析 干旱对植被的影响

Keywords: Time series data,NDVI,EVI,HANTS,MODIS
时间序列数据
,归一化植被指数(NDVI),增强植被指数(EVI),时间序列谐波分析(HANTS),中分辨率成像光谱仪(MODIS)

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Abstract:

MODIS/EVI time series data were selected to analyze the response of vegetation growth to drought in Sichuan and Chongqing provinces in 2006.To remove the cloud contaminated images,the HANTS algorithm was first used to reconstruct cloud-free images.With the cloud-free images and HANTS algorithm's components(amplitude and phase),the drought influence to the study region was analyzed combined with the land surface meteorological data.Comparing the performance of the drought year and normal years,the result showed that the processed EVI data could reflect the influence of drought to surface vegetation well,and the amplitude and phase could indicate the spatial distribution of drought.

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