Urban black-odor water body remote sensing monitoring in Fuzhou city based on Gaofen-2 image

Ting Wu; YunZhi Chen

doi:10.1117/12.2625589

9 December 2021 Urban black-odor water body remote sensing monitoring in Fuzhou city based on Gaofen-2 image

Ting Wu, YunZhi Chen

Proceedings Volume 12129, International Conference on Environmental Remote Sensing and Big Data (ERSBD 2021); 1212905 (2021) https://doi.org/10.1117/12.2625589
Event: 2021 International Conference on Environmental Remote Sensing and Big Data, 2021, Wuhan, China

Abstract

The black-odor water has significant negative impacts on the sustainable development of society and survival of mankind. Taking the main rivers in the urban built-up area of Fuzhou city as the research object, we obtained 15 normal water samples and 45 black-odor water samples on the remote sensing image of Gaofen-2(GF-2) on December 7, 2016 according to the list of black-odor water bodies announced by the municipal government. The paper puts forward a new Black and Odorous Water Index (BOWI) model that based on the ratio of band 2 and 3 to band 3 and 4 to identify the urban blackodor water body based on the reflectance spectrum on image. And the model is validated by the observation and the producer’s accuracy can be up to 71.43%. Result shows that black-odor water sections are widely distributed but discontinuous, and they are concentrated in the densely populated areas of urban areas. Domestic sewage, industrial waste water and broken waterfront are the main reasons.

Citation Download Citation

Ting Wu and YunZhi Chen "Urban black-odor water body remote sensing monitoring in Fuzhou city based on Gaofen-2 image", Proc. SPIE 12129, International Conference on Environmental Remote Sensing and Big Data (ERSBD 2021), 1212905 (9 December 2021); https://doi.org/10.1117/12.2625589

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