Assessment of Ecological Environment in Zhanjiang Based on RSEI and PCA

DOI: 10.22161/ijeab.85.4

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.

Keywords:
Remote Sensing Ecological Index (RSEI); Principal Components Analysis (PCA); Ecological Environment Quality; Normalized Difference Vegetation Index (NDVI), Normalized Difference Bare Soil Index (NDBSI), Land Surface Temperature (LST)

Article Info:
Received:11 Jul 2023; Received in revised form: 20 Aug 2023; Accepted: 05 Sep 2023; Available online: 14 Sep 2023

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