Articles | Volume 14, issue 11
https://doi.org/10.5194/gmd-14-6833-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-6833-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| 
11 Nov 2021
Model evaluation paper |
| 11 Nov 2021
| 11 Nov 2021
Turbidity maximum zone index: a novel model for remote extraction of the turbidity maximum zone in different estuaries
Chongyang Wang
Guangdong Open Laboratory of Geospatial Information Technology and Application, Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou 510070, China
Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 511458, China
Li Wang
Guangdong Open Laboratory of Geospatial Information Technology and Application, Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou 510070, China
Danni Wang
Guangzhou Xinhua University, Guangzhou 510520, China
Dan Li
CORRESPONDING AUTHOR
Guangdong Open Laboratory of Geospatial Information Technology and Application, Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou 510070, China
Chenghu Zhou
CORRESPONDING AUTHOR
Guangdong Open Laboratory of Geospatial Information Technology and Application, Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou 510070, China
Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 511458, China
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
Hao Jiang
Guangdong Open Laboratory of Geospatial Information Technology and Application, Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou 510070, China
Qiong Zheng
Guangdong Open Laboratory of Geospatial Information Technology and Application, Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou 510070, China
Department of Geomatics Engineering, School of Traffic & Transportation Engineering, Changsha University of Science & Technology, Changsha, 410114, China
Shuisen Chen
Guangdong Open Laboratory of Geospatial Information Technology and Application, Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou 510070, China
Kai Jia
Guangdong Open Laboratory of Geospatial Information Technology and Application, Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou 510070, China
Yangxiaoyue Liu
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
Ji Yang
Guangdong Open Laboratory of Geospatial Information Technology and Application, Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou 510070, China
Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 511458, China
Xia Zhou
Guangdong Open Laboratory of Geospatial Information Technology and Application, Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou 510070, China
Yong Li
Guangdong Open Laboratory of Geospatial Information Technology and Application, Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou 510070, China
Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 511458, China
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Cited
5 citations as recorded by crossref.
- Fractionation and tidal characteristics of per- and polyfluoroalkyl substances in the estuarine maximum turbidity zone C. Liu et al. 10.1016/j.scitotenv.2024.177646
- Assessment of the Forest Fire Risk and Its Indicating Significances in Zhaoqing City Based on Landsat Time-Series Images X. Zhou et al. 10.3390/f14020327
- Mapping Dynamic Turbidity Maximum Zone of the Yellow River Estuary from 38 Years of Landsat Imagery M. Chang et al. 10.3390/rs14153782
- Seasonal dynamics and environmental drivers of productivity in the Cochin Estuarine System: Insights from estuarine turbidity maxima V. Adarsh et al. 10.1016/j.ecss.2025.109383
- A universal method to recognize global big rivers estuarine turbidity maximum from remote sensing C. Wang et al. 10.1016/j.isprsjprs.2025.01.002
5 citations as recorded by crossref.
- Fractionation and tidal characteristics of per- and polyfluoroalkyl substances in the estuarine maximum turbidity zone C. Liu et al. 10.1016/j.scitotenv.2024.177646
- Assessment of the Forest Fire Risk and Its Indicating Significances in Zhaoqing City Based on Landsat Time-Series Images X. Zhou et al. 10.3390/f14020327
- Mapping Dynamic Turbidity Maximum Zone of the Yellow River Estuary from 38 Years of Landsat Imagery M. Chang et al. 10.3390/rs14153782
- Seasonal dynamics and environmental drivers of productivity in the Cochin Estuarine System: Insights from estuarine turbidity maxima V. Adarsh et al. 10.1016/j.ecss.2025.109383
- A universal method to recognize global big rivers estuarine turbidity maximum from remote sensing C. Wang et al. 10.1016/j.isprsjprs.2025.01.002
Latest update: 17 Jun 2025
Short summary
The turbidity maximum zone (TMZ) is a special phenomenon in estuaries worldwide. However, the extraction methods and criteria used to describe the TMZ vary significantly both spatially and temporally. This study proposes an new index, the turbidity maximum zone index, based on the corresponding relationship of total suspended solid concentration and Chl a concentration, which could better extract TMZs in different estuaries and on different dates.
The turbidity maximum zone (TMZ) is a special phenomenon in estuaries worldwide. However, the...
