基于遥感生态指数的阿克苏地区生态质量时空变化及其驱动力

为及时全面地监测阿克苏地区生态环境质量的时空变化，基于谷歌地球引擎(GEE)平台，利用MODIS多光谱传感器2005年、2010年、2015年、2020年的遥感数据构建遥感生态指数(RSEI),运用Moran指数、地理探测器等方法探究阿克苏地区生态环境质量时空演变及影响因素检测。结果表明：(1)2005—2020年阿克苏地区RSEI由0.24增至0.27,生态环境质量呈波动上升趋势，RSEI高值区主要分布于阿克苏地区北缘以及中部绿洲区，低值区主要分布于沙漠、戈壁等地。(2)2005—2020年，RSEI全局Moran指数为0.80～0.87,表明阿克苏地区RSEI呈较强的正相关；其聚集分布以高—高(H—H)和低—低(L—L)分布为主。(3)各因子对空间异质解释力(q值)在2005—2020年存在不同程度变化，土地利用和降水为关键影响因素。同时，相比单因子，交互探测的影响力均大于单一因子的作用强度。研究结果可为当地生态环境保护提供数据支撑及方法借鉴。

Assessment of Spatial-Temporal Changes of Ecological Environment Quality and Its Driving Force in Aksu Region Based on Remote Sensing Ecological Index

In order to monitor the spatiotemporal variations of ecological environment quality in the Aksu region comprehensively and timely, this study utilized the Google Earth Engine (GEE) platform to construct a remote sensing ecological index (RSEI) based on MODIS multispectral sensor data from 2005, 2010, 2015, and 2020. Additionally, the Moran index and Geo-detector were employed to investigate the spatial and temporal evolution of ecological quality and identify impact factors in the Aksu region. The findings indicated that: (1) The RSEI in the Aksu area increased from 0.24 to 0.27 between 2005 and 2020, exhibiting a fluctuating upward trend in ecological environmental quality. The high RSEI values were predominantly observed in the northern edge and central oasis region, while the low values were concentrated in the desert and Gobi region. (2) Throughout 2005-2020, the overall Moran index of the RSEI ranged between 0.80 and 0.87, signifying a strong positive correlation in the Aksu region, with high-high (H-H) and low-low (L-L) clusters being dominant. (3) From 2005 to 2020, the explanatory power of various factors in spatial heterogeneity (q-value) varied to different extents, with land use and rainfall identified as key drivers. Furthermore, the influence of interaction detection surpassed that of individual factors. This research provides valuable data and methodological references for the protection of the local ecological environment.