23 November 2011 Estimation and spatial character analysis of vegetation net primary productivity in Heilongjiang Province
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Proceedings Volume 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 80060T (2011) https://doi.org/10.1117/12.901875
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China
Abstract
Here we analyzed many kinds of Net primary productivity (NPP) calculating methods and chose the Monteith model based on the Light Utility Efficiency(LUE) to estimate the NPP value of Heilongjiang province in 2003. In this model, the NOAA/AVHRR data, climate data and eradiation data were used to calculate the NPP with the support of GIS technology. Then the spatial change of NPP was analyzed and the spatial map of NPP was drawn. The result showed that the mean value of NPP in the study area is 329.2gC / (m2·a). There is a consistent trend between the spatial distribution of NPP and temperature and rainfall. The NPP values of southeastern and central area are higher than that of western drought area and Daxingan Mountains because of their better humidity and heat. The NPP values of different vegetation have significant differences. They decrease in the sequence of forest, shrub, cropland and grassland. The NPP values have significantly positive correlation with mean annual temperature, rainfall and NDVI.
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Weifang Wang, Weifang Wang, Yunbao Zang, Yunbao Zang, Guochun Li, Guochun Li, } "Estimation and spatial character analysis of vegetation net primary productivity in Heilongjiang Province", Proc. SPIE 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 80060T (23 November 2011); doi: 10.1117/12.901875; https://doi.org/10.1117/12.901875
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