【摘要】 近年来,随着遥感技术的快速发展和遥感应用研究的不断深入,遥感监测正越来越广泛地应用于各地草地退化监测。本研究在地面调查采样分析并结合相关文献的基础上,以植被净初级生产力(Net Primary Productivity,NPP)和土壤有机质(Soil Organic Matter,SOM)为关键指标,利用遥感影像获取色达县NPP和SOM的空间分布数据,利用采样点数据与遥感反演的NPP和SOM空间分布数据,建立草地退化指数(Grassland degradation index,GDI)的监测模型,最后根据GDI将色达县退化草地划分为不退化、轻度、中度和重度退化4个等级。更多还原

【Abstract】 In recent years,with the rapid development of remote sensing technology and the deepening application research of remote sensing,remote sensing monitoring is more and more widely used in grassland degradation monitoring. On the basis of the ground investigation and referencing relevant literature,by taking the net primary productivity of vegetation( NPP) and the soil organic matter( SOM) as key indicators,we combined the data of ground investigation and the spatial distribution data of NPP and SOM which was obtained from remote sensing image in Seda county to construct a remote sensing monitoring model based on Grassland degradation index. And then,according to GDI,the degraded grassland was divided into four grades: non-degraded,mild,moderate and severe degraded.更多还原