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FAPAR是遥感估算陆地生态系统植被净第一性生产力(NPP)的重要参数。FAPAR模型是否能真实反映植被冠层吸收光合有效辐射状况,将直接影响遥感估算植被NPP和碳循环的准确性。从FAPAR机理出发,考虑土壤反射率、冠层结构、太阳入射角等多种因素,构建了全新的定量FAPAR反演模型,并分析了太阳天顶角、LAI、土壤背景等因素与FAPAR的关系。与蒙特卡罗模拟结果的对比和用地面实测数据的验证表明该模型拥有较高的精度。选择甘肃张掖盈科灌区为研究区,利用PROBA-CHRIS高光谱多角度数据反演得到了LAI和FAPAR,并用同步观测数据验证了反演结果。
FAPAR is an important parameter for estimating the net primary productivity (NPP) of terrestrial ecosystems by remote sensing. Whether the FAPAR model can truly reflect the status of photosynthetic active radiation of vegetation canopy will directly affect the accuracy of remote sensing estimation of vegetation NPP and carbon cycle. Based on the FAPAR mechanism, a new quantitative FAPAR inversion model was constructed considering various factors such as soil reflectance, canopy structure and solar incident angle. The relationship between solar zenith angle, LAI, soil background and FAPAR was also analyzed . The comparison with the Monte Carlo simulation results and the verification with the ground measured data show that the model has higher accuracy. Select Yingcai Irrigation Area in Zhangye, Gansu Province as the research area, LAI and FAPAR were obtained by PROBA-CHRIS hyperspectral multi-angle data inversion, and the inversion results were verified by simultaneous observation data.