Paper
21 February 2024 GIS-based sensitivity analysis of urban land ecology: a case study of Hangzhou City
Shenning Zhang
Author Affiliations +
Proceedings Volume 12988, Second International Conference on Environmental Remote Sensing and Geographic Information Technology (ERSGIT 2023); 129880R (2024) https://doi.org/10.1117/12.3023966
Event: Second International Conference on Environmental Remote Sensing and Geographic Information Technology (ERSGIT 2023), 2023, Xi’an, China
Abstract
The sensitivity assessment of ecological environment is an important foundation for analyzing the current situation of regional ecological environment and formulating relevant urban planning. This article is based on Hangzhou, an important node city in the Yangtze River Delta urban agglomeration, the capital of Zhejiang Province, and the nationally renowned tourist city. Five sensitive evaluation indicators are selected, including vegetation coverage, slope, water environment, nighttime lighting, and land use type, to analyze the distribution pattern of land ecological environment sensitive areas throughout Hangzhou. The results indicate that water environment, population density, and vegetation coverage are the main influencing factors for the comprehensive evaluation of land ecological sensitivity in Hangzhou. The ecologically sensitive areas of land in Hangzhou are mainly moderately sensitive, mainly located in densely developed areas outside the main urban area; Low sensitivity areas are mainly located in the main urban area; Non sensitive areas are mainly located in low-density development areas outside the main urban area. In order to optimize the ecological sensitivity of land in Hangzhou, it is necessary to implement corresponding protection and development measures based on the research status, in order to achieve a win-win situation between urban development and ecological protection.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Shenning Zhang "GIS-based sensitivity analysis of urban land ecology: a case study of Hangzhou City", Proc. SPIE 12988, Second International Conference on Environmental Remote Sensing and Geographic Information Technology (ERSGIT 2023), 129880R (21 February 2024); https://doi.org/10.1117/12.3023966
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KEYWORDS
Environmental sensing

Vegetation

Analytical research

Ecology

Geographic information systems

Statistical analysis

Remote sensing

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