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利用一种可操作的地表蒸散遥感反演二层模型,以我国华北平原为研究区,选择2004年的3月至6月华北地区主要农作物冬小麦的生长季节作为研究时段,利用MODIS遥感卫星数据,结合地面130多个气象台站的空气温湿度实测数据,实现了土壤蒸发和植被蒸腾的反演。采用国家生态网络禹城综合试验站利用涡度相关系统观测的地表总蒸散半小时平均的数据进行了模型验证,结果表明模型估算的地表可利用能量与地面实测数据的相关系数可以达到0.92,均方差为30.4w.m-2;模型估算的地表总蒸散值与地面实测数据的相关系数为0.85,均方差为21.3 w.m-2,由此证明了模型的可用性。
Using an operational two-layer model of surface evapotranspiration remote sensing retrieval, taking the North China Plain as a study area, the growing season of winter wheat in North China from March to June 2004 was selected as the study period. By using MODIS remote sensing satellite data, Combined with the measured data of air temperature and humidity in more than 130 ground stations, the inversion of soil evaporation and vegetation transpiration is realized. The model was validated by the National Ecology Network Yucheng Integrated Station using the half-hour average of the total surface evapotranspiration observed by the eddy covariance system. The results show that the correlation coefficient between the estimated available energy of the model and the measured data can reach 0.92 The variance was 30.4wm-2. The correlation coefficient between the estimated total surface evapotranspiration and the measured data was 0.85 and the mean square error was 21.3 wm-2, which proves the availability of the model.