TITLE:
Environmental Monitoring in Northern Aksu, China Based on Remote Sensing Ecological Index Model
AUTHORS:
Yun Zhang, Liangjun Zhao, Kai Niu, Asiya Manlike
KEYWORDS:
Aksu, China, Ecological Environment Quality, Principal Component Analysis, Remote Sensing Ecological Index
JOURNAL NAME:
Open Journal of Applied Sciences,
Vol.12 No.5,
May
20,
2022
ABSTRACT: In order to understand the development
status of ecological environment quality in the Aksu region of China, to
effectively adjust the ecological environment
quality, so as to promote the sustainable development of its social economy and ecological environment protection. This paper selects the Landsat series
remote sensing images of the northern Aksu region in 2013, 2016, and 2019, and
uses the tools such as ENVI5.3 and ArcGIS 10.8.1 to process the image data
accordingly. The principal component analysis method is used to calculate the
Remote Sensing Ecological Index (RSEI) of the northern Aksu region. The data
show that: 1) The ecological environment quality index in the northern Aksu
region in 2013, 2016, and 2019 was 0.706087, 0.25243 and 0.362991 respectively;
2) The areas where the ecological environment quality declined significantly in
the northern Aksu region were the human settlements and the Gobi, fan-shaped
land and other special terrain areas; 3) The humidity index and the heat index
are the two factors that have the greatest impact on the ecological environment
quality in the northern Aksu area. The data as a whole show that the ecological
environment in the northern part of the Aksu region has deteriorated seriously,
and the severely deteriorated area is close to the human living area.