岷江上游典型流域林冠截持降雨遥感模型与反演

Remote Sensing Model and Inversion of Canopy Rainfall Interception in the Upstream of Minjiang Valley

在对岷江上游典型流域研究区实地踏勘和定位观测的基础上,综合利用ETM和ASTER遥感数据、地面实测数据和常规观测数据等资料,结合森林水量平衡原理,建立了岷江上游典型流域林冠截持降雨遥感信息模型。以遥感图像中单个像元作为测算单位,对模型参数叶面最大持水度、覆盖度、叶面积指数(LAI)进行了计算,并对岷江上游毛儿盖地区林冠截留降雨量进行了反演。并利用研究区实测数据、生态环境本底遥感调查数据和水文气象数据对上述模型反演结果进行验证和精度分析。结果表明,模型反演结果精度较高,能较好反应研究区植被冠层截留量的实际状况。

The paper constructs a remote sensing model of the forest canopy rainfall interception in the upstream of Minjiang Valley based on the principle of the forest water content balance and research on the orientation observation. The enhanced thematic mapper （ETM） and various data from remote sensing, practical measurement and routine observation are fully utilized in this model. By taking one pixel of the remote sensing images as the calculating unit, the model parameters, including vegetation coverage, leaf area index （LAI）, and leaf rainfall interception are calculated, and the inverse calculation of the interception rainfall quantity of the forest coronal in the Maoergai Region of Minjiang Valley is given and analyzed. The results show that the inversion model can better reflect the true condition of the forest canopy rainfall interception in the research area.