青海祁连山植被覆盖变化检测成果图

利用中低分辨率卫星遥感数据，计算遥感数据变化差值作为预警指标，体现时间变化趋势。其次，根据生态环境期望状态，对植被覆盖指标进行长时间序列数据趋势分析与周期分析，划定各项遥感生态指标的变化差值预警阈值。最后，构建预警判定模型，实现生态预警单元变化的预警，得到植被覆盖预警图

Medium- and low-resolution satellite remote sensing data are utilized to calculate the variation difference of remote sensing data as early warning indicators, which reflect temporal change trends. Secondly, based on the expected ecological environment state, long-time series trend analysis and periodic analysis are conducted on vegetation coverage indicators, and the early warning thresholds for the variation differences of all remote sensing ecological indicators are delineated. Finally, an early warning judgment model is constructed to implement early warning for changes in ecological early warning units, and the vegetation coverage early warning map is obtained.