Department of Geography, School of Earth Sciences, Central University of Karnataka, Gulbarga, Karnataka, 585367, India.
Institute of Water and Flood Management, Bangladesh University of Engineering and Technology (BUET), Dhaka, 1000, Bangladesh.
Environ Monit Assess. 2024 Jun 19;196(7):631. doi: 10.1007/s10661-024-12793-x.
Human activities have dramatically affected global ecology over the past few decades. Geospatial technologies provide quick, efficient, and quantitative evaluation of spatiotemporal changes in eco-environmental quality (EEQ). This study focuses on a novel approach called remote sensing-based ecological indicators (RSEIs), which has used Landsat imagery data to assess environmental conditions and their changing trends. Four ecological indicators, mainly heatness, dryness, wetness, and greenness, have been used to assess the EEQ in Asansol Municipal Corporation Region (AMCR). Assembling all the indicators to generate RSEI, the principal component analysis (PCA) approach was applied. Our findings show that wetness and greenness favorably impact the province's EEQ, whereas dryness and heat create a negative impact. The RSEI assessment revealed that 24.53 to 28.83% of the area was poor and very poor, whereas the areas with very good decreased from 18.80 to 4.01% from 2001 to 2021 due to urban expansion and industrialization. The relative importance analysis indicates that greenness has a positive relation with RSEI, and dryness and heatness have a negative relation with RSEI. Finally, the receiving operating characteristic (ROC) was used for validation (AUC-0.885) of the RSEI. This study offers valuable insights for ecological management decision-making, guiding planners, and policymakers.
在过去几十年中，人类活动极大地影响了全球生态。地理空间技术为生态环境质量（EEQ）的时空变化提供了快速、高效和定量的评估。本研究专注于一种新方法，即基于遥感的生态指标（RSEIs），该方法使用 Landsat 图像数据来评估环境条件及其变化趋势。本研究采用了四个生态指标，主要是热度、干燥度、湿度和绿色度，来评估阿斯索尔市政公司区域（AMCR）的 EEQ。通过组装所有指标来生成 RSEI，我们应用了主成分分析（PCA）方法。研究结果表明，湿度和绿色度对该省的 EEQ 有积极影响，而干燥度和热度则产生负面影响。RSEI 评估显示，2001 年至 2021 年，24.53%至 28.83%的区域处于较差和极差状态，而由于城市扩张和工业化，非常好的区域从 18.80%减少到 4.01%。相对重要性分析表明，绿色度与 RSEI 呈正相关，干燥度和热度与 RSEI 呈负相关。最后，我们使用接收操作特征（ROC）对 RSEI 进行了验证（AUC-0.885）。本研究为生态管理决策提供了有价值的见解，为规划者和决策者提供了指导。
