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Zhouqu County is located in the transition region from the Qinghai-Tibet Plateau to the Qinba Mountains, and is an important part of the ecological barrier in the upper stream of the Yangtze River. In this study, we used the Google Earth Engine cloud processing platform to perform inter-image optimal reconstruction of Landsat surface reflectance images from 1998-2019. We calculated four indicators of regional wet, green, dry, and hot. The component indicators were coupled by principal component analysis to construct remote sensing ecological index (RSEI) and to analyze the spatial and temporal variations of ecological environment quality in Zhouqu County. The results showed that the contribution of the four component indicators to the eigenvalues of the coupled RSEI were above 70%, with even distribution of the loadings, indicating that the RSEI integrated most of the features of the component indicators. From 1998 to 2019, the RSEI of Zhouqu County ranged from 0.55 to 0.63, showing an increasing trend with a growth rate of 0.04·(10 a)舟曲县地处青藏高原向秦巴山地的过渡区,是长江上游生态屏障的重要组成部分。本研究利用Google Earth Engine云处理平台对1998—2019年Landsat地表反射率图像进行像元间优化重构,计算区域湿度、绿度、干度、热度分量4个指标,利用主成分分析法将分量指标耦合,构建遥感生态指数(RSEI),分析舟曲县生态环境质量的时空变化。结果表明: 4个分量指标对耦合构成的RSEI特征值贡献率均在70%以上,且载荷分布均匀,表明RSEI集成了分量指标绝大部分特征。1998—2019年,舟曲县RSEI在0.55～0.63,呈现增加趋势,增长率为0.04·(10 a) |
