首页> 外文会议>International symposium on multispectral image processing and pattern recognition;MIPPR 2011 >Estimation and spatial character analysis of vegetation net primary productivity in Heilongjiang Province
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Estimation and spatial character analysis of vegetation net primary productivity in Heilongjiang Province

机译:黑龙江省植被净初级生产力估算与空间特征分析

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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 G1S 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 / (m~2·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.
机译:在此,我们分析了多种净初级生产力(NPP)的计算方法,并基于光效效率(LUE)选择了Monteith模型来估算黑龙江省2003年的NPP值。在该模型中,NOAA / AVHRR数据,气候在G1S技术的支持下,使用数据和辐射数据来计算NPP。然后分析了NPP的空间变化并绘制了NPP的空间图。结果表明,研究区的NPP平均值为329.2gC /(m〜2·a)。 NPP的空间分布与温度和降雨之间存在一致的趋势。东南和中部地区的NPP值比西部干旱地区和大兴安岭的NPP值高,因为它们的湿度和热量更好。不同植被的NPP值存在显着差异。它们以森林,灌木,农田和草地的顺序减少。 NPP值与年平均温度,降雨量和NDVI呈显着正相关。

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