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Computer Vision-Based Biomass Estimation for Invasive Plants
Published on: February 9, 2024
[Vegetation change in Shenzhen City based on NDVI change classification]
Yi-Jing Li1, Hui Zeng, Jian-Bing Wel
1Department of Ecology, College of Environmental Sciences, Peking University, Beijing 100871, China. jing830128@gmail.com
Summary
Shenzhen
Area of Science:
- Environmental Science
- Urban Ecology
- Remote Sensing
Background:
- Rapid urbanization presents challenges to urban vegetation cover.
- Understanding vegetation dynamics is crucial for sustainable urban development.
Purpose of the Study:
- To assess vegetation changes in Shenzhen from 1988-2003.
- To analyze the impacts of natural and social factors on vegetation cover.
- To propose strategies for future vegetation protection and restoration.
Main Methods:
- Normalized Difference Vegetation Index (NDVI) change classification using TM images.
- Analysis of land-use change survey data.
- Assessment of natural and social constraining factors.
Main Results:
- Overall urbanization had a limited impact on Shenzhen's vegetation.
- Localized vegetation degradation was observed in low-altitude plain areas.
- Key drivers included urban encroachment on green spaces and altitude-related land transformation.
Conclusions:
- The NDVI change classification method is effective for macroscale vegetation trend analysis.
- Future efforts should focus on protecting remnant woods, managing urban expansion, and optimizing orchard land use.
- Consolidating green belts within urban areas is essential.
