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Academic Journal of Environment & Earth Science, 2022, 4(1); doi: 10.25236/AJEE.2022.040102.

Dynamic Monitoring and Evaluation of Regional EE Quality Based on Multi-source Remote Sensing Data


Meng Li

Corresponding Author:
Meng Li

College of Resources, Environment, History and Culture, Xianyang Normal University, Xianyang, China


Regional EEal protection is an inevitable trend of environmental protection development. Based on multi-source remote sensing data, a typical land remediation project was selected. The rectification process of the project area. Monitoring and analysis. The results show that: 1) The humidity and greenness indicators have a positive impact on the ecological environment (EE) quality of the project area, and the dry heat index has a negative impact; 2) the average RSEI before repair, the middle and the back are 0.652, 0.572 and 0.605 respectively; RSEI fine grade level ratio of 78.73%, 39.55% and 63.29%; RSEI worse, better change, the ratio was 42.55%, 46.25% and 11.20%; 3) the EE quality in the project area showing the "first dropped and then rose to a total The trend of decline indicates that the “remediation period – the deterioration of the recovery period” has become better – the whole process is even worse. Land remediation will cause continuous disturbance to the EE of the project area, and there will be a lag period for restoring and improving the regional EE. After five years of construction, the EE quality level of the project area is still lower than the level before the remediation.


Multi-source Remote Sensing Data; Regional EE; Dynamic Monitoring; SEI Model

Cite This Paper

Meng Li. Dynamic Monitoring and Evaluation of Regional EE Quality Based on Multi-source Remote Sensing Data. Academic Journal of Environment & Earth Science (2022) Vol. 4 Issue 1: 5-12. https://doi.org/10.25236/AJEE.2022.040102.


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