| Issue |
E3S Web Conf.
Volume 158, 2020
2019 7th International Conference on Environment Pollution and Prevention (ICEPP 2019)
|
|
|---|---|---|
| Article Number | 05001 | |
| Number of page(s) | 6 | |
| Section | Environmental Detection | |
| DOI | https://doi.org/10.1051/e3sconf/202015805001 | |
| Published online | 23 March 2020 | |
A fuzzy function model for remote evaluation of chlorophyll-a concentration in the Northern of South China Sea-Hong Kong
1 State Grid Energy Research Institute Co., Ltd., Changping District, Beijing 102209, China
2 Ministry of Foreign Affairs of PRC, Beijing 100701, China
3 The College of Economics and Management, Beijing University of Chemical Technology, Beijing, 100029, China
∗ Corresponding author: qianxu1108@163.com
Chlorophyll-a (Chla) concentration is an important indicator to monitor eutrophication, which is a persistent problem that affects the ecological health of coastal water or shallow lakes. We have applied a Gaussian-like fuzzy function model for the estimation of Chla concentration in Hong Kong Coastal Waters, based on the spectral signature using the HJ-1A /1B CCD images and measured data. The method of this paper is as follows. Firstly, reflectance peak and fluorescence band were used to figure out the bands or bands combination which impact the Chla concentration significantly; and then calculated the value of all the pixels without measured data according to their similarity degree with the measured points; finally, the full Chla concentration maps in the study area were produced by GIS spatial interpolation. It is concluded in this paper that the method can retrieve the Chla concentration accurately and the result of changes detected coincides with the observed result extremely, what’s more, the maps generated are continuous and smooth which are quite different from traditional RS maps that can only accurate to pixel size.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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