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Monitoring vegetation water content with MODIS data in Changbai Mountain Nature Reserve
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Timely and accurate assessment of vegetation water status with remote sensing techniques helps to understand the role of terrestrial vegetation in ecological processes and its characteristics， which are crucial for monitoring and modeling ecosystems。 Moreover， the determination of vegetation water content is of interest and significant for drought assessment and prediction of susceptibility to wildfire。 Changbai Mountain area， Northeast China has the largest protected temperate forest in the world。 In this study， we used 8-day composite MODIS products and Global Vegetation Moisture Index (GVMI)to estimate the vegetation canopy water of Changbai Mountain Nature Reserve in spring and fall during the period of 2000 to 2007 respectively。 The spatial pattern of vegetation water content in this region was analyzed。 We also discussed the possible reason of the vegetation water dynamics。 Results showed that GVMI derived from reflectance in NIR and SWIR bands， is less affected by atmospheric noise。 The equivalent water thickness (EWT)of vegetation was modified using leaf area index (LAI)， considering the effects of vegetation cover density on vegetation water retrieval。 Our results provided basic information on vegetation status in the protected temperate forest for further understanding the terrestrial vegetation change in response to global climate change and evaluating the regional ecological securities as well。
Vegetation water contentMODISGVMIChangbai Mountain Nature Reserve
Liu Min、Huang Fang、Qi Xin
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School of Urban and Environmental Sciences,Northeast Normal University,5268 Renmin Street,Changchun,China 130024
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