Research on Ecoenvironmental Quality Evaluation System Based on Big Data Analysis

Area of Science:

• Environmental Science
• Remote Sensing
• Ecology

Background:

• Ecological environment quality assessment is crucial for sustainable regional development.
• Understanding long-term environmental changes is vital for effective management.
• The Headwaters of the Dongjiangyuan River require continuous ecological monitoring.

Purpose of the Study:

• To evaluate the spatiotemporal changes in ecological environment quality in the Headwaters of the Dongjiangyuan River.
• To identify the key influencing factors driving these environmental changes.
• To provide a quantitative basis for ecological management strategies.

Main Methods:

• Utilized Landsat remote sensing images from 1991 to 2019.
• Applied the Remote Sensing Ecological Index (RSEI) for comprehensive evaluation.
• Analyzed temporal trends and spatial variations of ecological indicators.

Main Results:

• Ecological environment quality in the study area showed a positive development trend between 1991 and 2019.
• Humidity, greenness, and dryness indices fluctuated within a limited range, with greenness and dryness generally increasing.
• Average temperatures in the Headwaters of the Dongjiangyuan River exhibited an upward trend.

Conclusions:

• The study established a robust spatiotemporal evaluation system for ecological environment quality.
• Quantitative analysis revealed significant environmental quality changes and trends.
• Findings offer a theoretical foundation for informed ecological management in the Dongjiangyuan River region.