基于GEE黄河三角洲长时序生态指数遥感估算与分析

基于遥感长时间序列的分析能够得到更加科学、完整、全面的特征规律，本文以黄河三角洲为研究区域，开展了生态指数遥感估算及分析研究。基于Google Earth Engine (GEE)分析了2000年以来逐年度归一化植被指数（NDVI）、湿度指数（Wet）、盐分指数（SI3）、遥感生态指数（RSEI），获得了完整、细致长时间序列的分析结果。考虑到黄河三角洲的区域特点，引入了盐分指数（SI3）与遥感生态指数（RSEI）相结合的评价分析方法。研究发现，自2011年以来研究区的生态环境指数呈上升趋势，生态环境持续改善。

Remote Sensing Estimation and Analysis of Long Time Series of Ecological Index Based on GEE in the Yellow River Delta

The analysis of long time series can obtain more scientific, complete and comprehensive characteristic laws. In this paper, taking the Yellow River Delta as the research area, ecological index estimation and analysis based on remote sensing technology have been carried out. Based on Google Earth Engine (GEE), annual normalized vegetation index (NDVI), humidity index (Wet), salinity index (SI3) and remote sensing ecological index (RSEI) since 2000 have been analyzed, and complete, detailed and long time series analysis results have been obtained. Considering regional characteristics of the Yellow River Delta, an evaluation and analysis method combining the salinity index (SI3) and remote sensing ecological index (RSEI) has been introduced. It is found that ecological environment index in the study area has shown an upward trend since 2011. It is indicated that ecological environment has been continuously improved.