remote sensing ecological index

遥感生态指数
  • 文章类型: Journal Article
    大型土地整理项目通过重塑地域空间格局,改变区域生态系统的结构和功能,从而影响生态环境质量(EEQ)。为探讨大规模土地整理项目对EEQ的影响,本研究以延安市“推土机造地”(BMCL)重大土地整理项目为研究对象,基于遥感生态指数(RSEI)评价EEQ的变化。建立了固结区和控制区,以比较分析这两个区域在BMCL全生命周期中的EEQ变化过程和空间分布特征。根据结果,固结区的平均RSEI比控制区低0.128,合并区的EEQ始终低于控制区。BMCL对合并区的EEQ等级产生了强烈的负面影响,尤其是在早期阶段。然而,BMCL对EEQ的积极影响在大型土地整理项目后期逐渐显现。综合区的整体EEQ等级也有所提高。逐步回归分析的结果表明,湿度分量和归一化差异植被指数在改善BMCL的EEQ中起着关键作用。总的来说,当地BMCL强烈影响了合并地区的EEQ,但不会导致整个地区的EEQ经历任何戏剧性,短期内的突然变化。本研究为区域尺度土地整理生态效应的评价和分析提供了参考,为评估BMCL中EEQ的时空变化提供了一种可行的方法。
    Large land consolidation projects modify the structures and functions of regional ecosystems through the reshaping of the territorial spatial pattern, thereby affecting the ecological environmental quality (EEQ). To investigate the effects of large-scale land consolidation projects on EEQ, this study takes the major land consolidation project of \"bulldoze mountains to create land\" (BMCL) in Yan\'an City as a research object and evaluates the change of EEQ based on Remote Sensing Ecological Index (RSEI). The consolidated area and the control area were set up to comparatively analyze the EEQ change processes and spatial distribution characteristics of these two areas in the full life cycle of BMCL. According to the results, the mean RSEI of the consolidated area was 0.128 lower than that of the control area, and the EEQ of the consolidated area was always lower than that of the control area. BMCL had a strong negative impact on the EEQ grade of the consolidated area, especially in the early stage. However, the positive effect of BMCL on EEQ gradually emerged in the late stage of the large land consolidation project. The overall EEQ grade of the consolidated area has also improved. The results of the stepwise regression analysis indicated that the wetness component and the normalized differential vegetation index played key roles in improving the EEQ of the BMCL. Overall, the local BMCL strongly affected the EEQ of the consolidated area but would not cause the EEQ of the whole region to experience any dramatic, abrupt change in the short term. This study provided references for the evaluation and analysis of the ecological effects of land consolidation at the regional scale, offering a feasible way to evaluate the spatio-temporal change of EEQ in BMCL.
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  • 文章类型: Journal Article
    使用GoogleEarthEngine(GEE)平台,采集了渭河流域2001年至2021年的中等分辨率图像光谱辐射计(MODIS)数据,四个生态指标,即,绿色,湿度,热,和干燥,被提取,并通过主成分分析构建了遥感生态指数(RSEI)。此外,使用地理检测器和多尺度地理加权回归模型(MGWR)来识别RSEI变化的主要驱动因素,并使用多个指标从不同角度捕捉空间变化的差异.结果表明:(1)2001-2021年渭河流域生态环境质量整体改善,RSEI从0.376提高到0.414。就RSEI等级而言,中RSEI和高RSEI地区显着增加,增长率显着提高,分别达到26.42%和27.70%,分别。(2)空间上,渭河流域生态环境质量呈现南高北低的空间分布格局,其中陕西北部、宁夏西北部和甘肃等地的渭河流域生态环境质量相对较低。此外,在学习期间,渭河流域南部的秦岭和Jing河和罗河地区的RSEI明显改善。渭河流域关中平原市区经济快速增长,城市扩张导致生态环境质量显著下降。(3)渭河流域生态环境质量是自然因素共同作用的结果,人为的,和景观格局因素。各影响因素之间的交互作用均比单个因素的交互作用具有更强的影响。个体驱动因素之间存在显著差异,RSEI的空间变异,表明不同的因素主导了不同地区RSEI的变化,区域管理对于实现RSEI的可持续管理至关重要。研究表明,为改善渭河流域生态环境质量,有必要进一步加强生态保护工程,合理分配景观元素,并加强生态系统的抵抗力和复原力。
    Using the Google Earth Engine (GEE) platform, Moderate-resolution image spectroradiometer (MODIS) data of the Weihe River Basin from 2001 to 2021 were acquired, four ecological indicators, namely, greenness, wetness, heat, and dryness, were extracted, and the remote sensing ecological index (RSEI) was constructed through principal component analysis. In addition, the geographic detectors and a multi-scale geographic weighted regression model (MGWR) were used to identify the main driving factors of RSEI changes and capture the differences in spatial changes from different perspectives using multiple indicators. The results show that (1) the quality of the eco-environment in the Weihe River basin improved as a whole from 2001 to 2021, and the RSEI increased from 0.376 to 0.414. In terms of the RSEI grade, the medium RSEI and high RSEI areas increased significantly and the growth rate increased significantly, reaching 26.42% and 27.70%, respectively. (2) Spatially, the quality of the eco-environment in the Weihe River Basin exhibited a spatial distribution pattern that was high in the south and low in the north, among which the quality of the eco-environment in the Weihe River Basin in northern Shaanxi and northwestern Ningxia and Gansu was relatively low. In addition, during the study period, the RSEI of the Qinling Mountains in the southern part of the Weihe River Basin and the Jinghe River and Luohe River areas improved significantly. The urban area on the Guanzhong Plain in the Weihe River Basin experienced rapid economic growth, and urban expansion led to a significant decrease in the quality of the eco-environment. (3) The eco-environment quality in the Weihe River Basin is the result of the interaction of natural, anthropogenic, and landscape pattern factors. All of the interactions between the influencing factors had a stronger influence than those of the individual factors. There were significant differences between the individual drivers and the spatial variation in RSEI, suggesting that different factors dominate the variation in RSEI in different regions, and zonal management is crucial to achieving sustainable management of RSEI. The study shows that to improve the eco-environment quality of the Weihe River Basin, it is necessary to further strengthen ecological protection projects, reasonably allocate landscape elements, and strengthen the resistance and resilience of the ecosystem.
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