基于高频遥感数据和景观指标的塔里木河下游生态系统恢复过程研究

Temporal trajectory change detection approach will be applied based on archived fine resolution satellite imagery of the study area as frequent data sources conjunction with ground truth measurement to evaluate the ecological effect of water transfer project to the “Green Corridor” in lower reach of Tarim River..The accurate vegetation time series maps in 30m spatial resolution will be made by a new introduced vegetation classification algorithm that combines information from images of varying spatial and temporal resolutions to improve classification accuracy of vegetation types based on Landsat 5/7/8 TM/ETM+ /OLI and China-Brazil Earth Resource Satellite (CBERS)CCD data with MODIS time series data. Near to daily MODIS time series data will be applied for calibrating phenological effect as well as classifying vegetation types in fine spatial resolution satellite imageries and validation will be made via collecting ground truth data and also based on very-high resolution satellite imagery such as Quick Bird. .Temporal trajectory for research period of each grid in 30 meter resolution will be established based on the classified images a spatial and temporal auto-correlation analyzing will be followed, and all trajectories will be categorized based on their own ecological meanings for understanding the relationship between the vegetation changes and ecological water transferring process in space and time dimension. .Finally, series questions will be answered such as: What is a response of vegetation and where is the responded vegetation located from the ecological water input? How much area? What types of vegetation is it? What the spatial patterns, temporal process and trends of vegetation changes? Is this restoration sustainable? What are the differences of different water conveying methods from transferring time, volume and time period et al. .As a result, stable vegetated area and unstable vegetated area, responded area and non-responded area will be mapped and priority conservation area will be identified due to the unsure volume of water support availability for ecological restoration purpose. The final result hopefully to be applied on the optimization of water transferring methods in the future conservation and restoration plan.

以塔里木河下游“绿色走廊”为研究区，以生态输水过程中河岸自然植被变化为研究对象，在研究团队2004年以来积累的地面监测数据和完成的13年（1999-2011）多比例尺土地覆被图的基础上，利用多源、多分辨率、多时相遥感数据和地面同步监测数据，编制2011~2018年的塔里木河流域下游多比例尺、多尺度植被图，完成20年（1999~2018年）的植被序列图；引入土地覆被变化时间轨迹分析法和景观指数法，对植被在不同景观尺度上的变化时间轨迹进行定量分析，并阐明各类变化时间轨迹的生态意义，最终从植被恢复情况的角度对塔里木河下游生态输水工程的生态效益进行定量评估；根据植被恢复过程和程度，区分生态输水后得到恢复并且稳定下来的植被区域和波动性变化的植被区域，对下游植被今后可以持续保护的绿色走廊的空间范围进行分级和空间区划，为确定不同可供生态输水量的情况下优先输水的目标区域，为优化生态输水方案提供科学依据。

以塔里木河下游“绿色走廊”为研究区，以生态输水过程中河岸自然植被变化为研究对象，在研究团队2004年以来积累的地面监测数据和完成的13年（1999-2011）多比例尺土地覆被图的基础上，利用多源、多分辨率、多时相遥感数据和地面同步监测数据，编制2011~2018年的塔里木河流域下游多比例尺、多尺度植被图，完成20年（1999~2018年）的植被序列图；引入土地覆被变化时间轨迹分析法和景观指数法，对植被在不同景观尺度上的变化时间轨迹进行定量分析，并阐明各类变化时间轨迹的生态意义，最终从植被恢复情况的角度对塔里木河下游生态输水工程的生态效益进行定量评估；根据植被恢复过程和程度，区分生态输水后得到恢复并且稳定下来的植被区域和波动性变化的植被区域，对下游植被今后可以持续保护的绿色走廊的空间范围进行分级和空间区划，为确定不同可供生态输水量的情况下优先输水的目标区域，为优化生态输水方案提供科学依据。研究结果表明，基于高频遥感数据的“时间轨迹分析方法”，对人为干扰下的生态恢复过程监测研究和干扰方式生态效益的评估是有效的，可行的，具有更广阔的推广前景。