岷江上游典型流域植被覆盖度的遥感模型及反演

本文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Aster和ETM遥感数据、地面实测数据和常规观测数据等资料,研究了植被指数与植被覆盖度之间的相关性,确定了岷江上游典型流域植被覆盖度模型。以遥感图像中单个像元作为测算单位,对植被指数NDVI进行了计算,并对岷江上游毛儿盖地区植被覆盖度进行了反演。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,能较真实的反应研究区植被覆盖度实际状况。

The remote sensing model and inversion of vegetation coverage in the typical valley of Minjiang upriver

The paper studied the relevance between vegetation index and vegetation coverage of the typical valley of Minjiang upriver,and then constructed vegetation coverage models based on the measurement and exploring in the field and the orientation observation,by utilizing the ETM and ASTER remote sensing data,measured data and routine observation data.Firstly,it made one pixel of the remote sensing image as the estimation unit and calculated the vegetation index NDVL Secondly,it inversed vegetation coverage in the Mao-ergai region of Minjiang valley.FinaLly,using the measured data in the research area,the remote sensing data in the ecosystem and the hydrometeor data,the paper validated the result and analyzed the precision of the inversion model.The conclusion showed that the precision of the inversion model is good,which could reflect the actual condition of the vegetation coverage in the re.arch area.