基于多源遥感数据融合的神东矿区植被覆盖变化及其驱动力分析

Analysis of vegetation cover change and itsdrivingforces in the Shendong mining area usingmultisourceremote sensing data fusion

摘要:

【目的】 揭示神东矿区长时序下植被覆盖变化特征及其演变机理对矿区的生态修复和可持

续发展具有重要意义。【方法】 利用STARFM 方法融合Landsat 和MODIS 数据，构建2000-2022 年神

东矿区的长时序核归一化植被指数（kNDVI）数据，分析其变化趋势，利用偏相关分析和地理探测器模

型探究矿区植被覆盖变化的驱动机制。【结果】 1）基于STARFM 方法融合的年kNDVI 与年kNDVI 影

像具有较强的相关性（R²=0. 864），表明融合后的Landsat 影像精度较高。2） 2000-2022 年神东矿区

植被整体呈现明显改善趋势，显著改善面积占比达到90. 36%。3）土地利用类型是影响神东矿区植被

覆盖度的最主要驱动因素；此外，气象因子对kNDVI 的约束力先增强后减弱。【结论】 研究结果可为更

好构建可持续、绿色矿山提供科学依据。

Abstract:

【Objective】 To reveal the characteristics and evolution mechanism of vegetation cover change overalong time series in Shendong mining area，which is crucial for ecological restoration and sustainable development ofthe region.【Method】 In this study，the STARFM method was used to integrate Landsat and MODIS data to constructa long time series nuclear Normalized Vegetation index （kNDVI） data of Shendong mining area from 2000 to2022. The change trend of kNDVI was analyzed，and the driving mechanisms behind vegetation cover changes wereexplored using partial correlation analysis and a geographic detector model.【Result】 The results showed that：1）There was a strong correlation between annual kNDVI and annual kNDVI images based on the fusion of STARFMmethod （R²=0. 864），indicating that the accuracy of the fusedLandsat images was high. 2） From 2000 to 2022，thevegetation in Shendang Mining area showed a significant improvement trend，with 90. 36% of the area exhibitingmarked improvement. 3） Land use type emerged asthe most important driving factor affecting vegetation coverage inthe Shendong mining area； Additionally，the influence of meteorological factors on kNDVI initially increased and thenweakened over time.【Conclusion】 The findings of this research can provide a scientific basis for constructing sustainableand green mining practices.