一种改进的遥感生态指数构建及湿地监测应用

An improved remote sensing-based ecological index and its application in wetland environment monitoring

针对RSEI在湿地地区生态环境监测存在的不足,基于2014年和2020年夏季Landsat 8影像,结合遥感指数TVDI、NDVI、CMI、FAI和NDSI,构建了一种改进的遥感生态指数(WRSEI),较好地监测了湿地地区的生态环境状况。基于白洋淀实验区监测结果表明:WRSEI对水体和水生植被更敏感,可更好地反映白洋淀地区湿地生态环境质量状况的时空变化。从空间分析,西南与东北部生态环境状况降低,西南部为水面转化为水生植被,东北部水面转化为浮水植被和种植土地;从时间分析,2014—2020年白洋淀湿地生态环境改善了40.18km^(2),研究结果可应用于湿地生态环境的监测和评估。

In this thesis,by integrating temperature vegetation drought index(TVDI),normalized difference vegetation Index(NDVI),cyanobacteria and macrophytes index(CMI),floating algae index(FAI)and normalized difference soil index(NDSI),a wetland remote sensing ecological index(WRSEI)has been proposed to better monitor the ecological environment quality of wetland area by using the Landsat 8 images in the summer of 2014 and 2020,as well as the problem of the current Remote Sensing-based Ecological Index(RSEI)in ecological environment monitoring.Our results of Baiyangdian experimental area show that the WRSEI is more sensitive to water and aquatic vegetation,which can better reflect the temporal and spatial changes of wetland ecological environment quality in Baiyangdian area.From the spatial analysis,the ecological environment worsens in southwest and northeast area,Meanwhile,the water surface turned into aquatic vegetation in southwest area,and the water surface turned into floating water vegetation and plant land in northeast.From temporal analysis,the ecological environment of Baiyangdian wetland improved by 40.18 km^(2)from 2014 to 2020.The conclude that WRSEI index can be applied to wetland ecological environment monitoring and evaluation.