Temporal and spatial variation characteristics of eco-environmental quality in Ningbo Hangzhou Bay New Area based on remote sensing ecological index model

Xuanhao Zhang; Yuelin Zhu; Qian Cheng

doi:10.1117/12.2684011

14 June 2023 Temporal and spatial variation characteristics of eco-environmental quality in Ningbo Hangzhou Bay New Area based on remote sensing ecological index model

Xuanhao Zhang, Yuelin Zhu, Qian Cheng

Author Affiliations +

Proceedings Volume 12708, 3rd International Conference on Internet of Things and Smart City (IoTSC 2023）; 127082Z (2023) https://doi.org/10.1117/12.2684011
Event: 3rd International Conference on Internet of Things and Smart City (IoTSC 2023）, 2023, Chongqing, China

Abstract

Coastal cities are rich in natural resources and geographical advantages. The ecological quality of coastal areas is one of the important factors affecting the sustainable development of coastal cities. Dynamic monitoring and quantitative evaluation of ecological environmental quality can provide a scientific basis for ecological environmental protection and sustainable development. This paper took Ningbo Hangzhou Bay New Area as the research object, based on four issues of remote sensing image data in 2013, 2015, 2017, and 2020 and constructed the remote sensing based ecological index model of Ningbo Hangzhou Bay New Area by extracting index information such as greenness, humidity, dryness, and heat. It is concluded that during the study period, the improvement area of eco-environmental quality is larger than the degradation area, indicating that the eco-environmental quality of Hangzhou Bay New area is developing in a good direction from 2013 to 2020.

Citation Download Citation

Xuanhao Zhang, Yuelin Zhu, and Qian Cheng "Temporal and spatial variation characteristics of eco-environmental quality in Ningbo Hangzhou Bay New Area based on remote sensing ecological index model", Proc. SPIE 12708, 3rd International Conference on Internet of Things and Smart City (IoTSC 2023）, 127082Z (14 June 2023); https://doi.org/10.1117/12.2684011

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