Assessment of Ecological Environment in Zhanjiang Based on RSEI and PCA

Xiaoyuan Cheng, Ruei-Yuan Wang, Haolong Liu, Yun-Shang Wang
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Abstract

This study uses Landsat-8 remote sensing images as the data source and selects four indicators that directly reflect the quality of the ecological environment, such as greenness (NDVI), wetness (WET), dryness (NDBSI), and heat (LST). Meanwhile, we use principal component analysis (PCA) to construct a remote sensing ecological index (RSEI) model for exploring the changes in the ecological environment quality of Zhanjiang from 2013 to 2021. The results indicate that RSEI can better reflect the ecological environment of the region. The study area is mainly affected by dryness, followed by greenness and humidity, with heat having the smallest impact. The average RSEI values in Zhanjiang City in 2013 and 2021 were 0.5339 and 0.5576, respectively, indicating a slight improvement in overall ecological environment quality. Among them, NVDI showed an increasing trend, NDBSI and WET decreased, but LST increased.
基于RSEI和PCA的湛江市生态环境评价
本研究以Landsat-8遥感影像为数据源,选取直接反映生态环境质量的绿度(greenness, NDVI)、湿度(WET)、干燥度(dry, NDBSI)和热量(heat, LST) 4个指标。同时,利用主成分分析(PCA)构建遥感生态指数(RSEI)模型,探讨2013 - 2021年湛江市生态环境质量的变化。结果表明,RSEI能较好地反映该地区的生态环境。研究区主要受干燥的影响,其次是绿化率和湿度,热量的影响最小。湛江市2013年和2021年的RSEI均值分别为0.5339和0.5576,整体生态环境质量略有改善。其中NVDI呈上升趋势,NDBSI和WET呈下降趋势,而LST呈上升趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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