【摘要】 根据对卫星遥感影像的判读解译,探讨了利用3S技术(遥感(RS)、全球定位系统(GPS)、地理信息系统(GIS)技术)监测四川省阿坝县的退牧还草工程现状。通过陆地卫星TM遥感影像数据和同期野外调查数据,分析了植被指数与草地植被生物量之间的相关关系,建立了不同植被指数与草地生物量之间的一元线性回归模型和非线性回归模型。结果表明,利用遥感卫星的植被指数可以较好反映牧草植被群落变化和不同草原类型的牧草产草量差异。在全年放牧草地中,地上总生物量、植被总覆盖度、植被平均高度等指标均低于围栏内的草地。因此,利用"3S"技术可以对全县草原地上生物量进行遥感估测并对草原基况做出评价,客观反映退牧还草工程实施后效果。同时,为推动高空间分辨率卫星影像在我国草业和生态环境建设中的应用打下了坚实基础。更多还原

【Abstract】 The paper,as an example of the project of "Return Grazing to Grass with Remote Sensing in Aba,Sichuan Province",discusses that the application and technique of utilizing the "3S" technology(RS、GPS and GIS) to monitor the project.Using the Landsat Thematic Mapper data and the measured grass yield data,the monadic linear regression models and the non-linear regression models were established,to express the relations between grassland biomass and the different vegetation indices.It was shown that different vegetation indices could reflect most of practical information on plant community dynamic of forage and the biomass difference among different grassland types.For year round unfenced grazing land,the total above ground biomass,overall vegetation coverage,and average plant height were all lower than for fenced land.So,the combination of 3S and the field investigation,which are characteristic of celerity,precision and efficiency,can find the project of Return Grazing to Grass condition with high precision,which available the scientific direction for the government’s macro decision-marking and layout.更多还原