A Novel Method for Simplifying the Distribution Envelope of Green Tide for Fast Drift Prediction in the Yellow Sea, China
Abstract
:1. Introduction
2. Study Area and Data
2.1. Study Area
2.2. Data and Data Processing
2.2.1. Satellite Data
2.2.2. Green Tide Extraction
2.2.3. Side Lengths and Vertex Angles of the Envelope
3. Method
3.1. Method for Building Simplification Model
3.2. Accuracy Assessment
3.2.1. Simplification Error
3.2.2. Simplification Rate
4. Results
4.1. Simplification Model Based on Azimuth Difference and Side Length (SM-ADSL)
4.1.1. Manually Simplifying the Envelope
4.1.2. Building the Simplification Model
4.2. Model Application Process
4.3. Simplification Model Evaluation
4.4. The Process of Green Tide Development and Drift
5. Discussion
5.1. Side Lengths and Angles of the Distribution Envelope Simplified by SM-ADSL
5.2. Comparison Analysis with the Existing Methods
5.3. Drift Prediction Analysis
5.4. The Impact of Monitoring Results from Different Satellite Sources on Decision-Making Plan Formulation
6. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Satellite/Sensor | Date | Object | Stage |
---|---|---|---|
HY-1C/CZI HJ-2B/CCD | 10 May 2021 | Process analysis, comparative analysis | Emergence |
HY-1D/CZI | 17 May 2021 | Algorithm development, application, validation, comparative analysis, and process analysis | Development |
HY-1C/CZI | 25 May 2021 | Process analysis | Development |
HY-1D/CZI HJ-2A/CCD | 6 June 2021 | Algorithm application, validation, comparative analysis, and process analysis | Explosion |
HY-1C/CZI | 9 July 2021 | Algorithm application, validation, comparative analysis, and process analysis | Explosion |
HY-1C/CZI | 18 July 2021 | Process analysis | Decline |
HY-1C/CZI | 5 August 2021 | Algorithm application, validation, comparative analysis, and process analysis | Decline |
HY-1C/CZI | 25 August 2021 | Process analysis | Extinction |
Date | Vertex Number of Original Envelope | Vertex Number of Simplified Envelope | Simplification Rate | Area of Original Envelope/km2 | Area of Simplified Envelope/km2 | Overall Error | Algebraic Error |
---|---|---|---|---|---|---|---|
17 May 2021 | 34,704 | 218 | 159 | 8216 | 8212 | 0.75% | −0.05% |
6 June 2021 | 58,830 | 391 | 150 | 43,708 | 43,729 | 0.25% | 0.05% |
9 July 2021 | 101,881 | 602 | 169 | 42,501 | 42,558 | 0.42% | 0.13% |
5 August 2021 | 35,510 | 225 | 158 | 8615 | 8606 | 0.65% | −0.10% |
Date | Before Simplification | After Simplification | ||
---|---|---|---|---|
Number of Vertices | Time Required | Number of Vertices | Time Required | |
17 May 2021 | 34,704 | 12 m and 56 s | 218 | 1 m and 8 s |
6 June 2021 | 58,830 | 20 m and 18 s | 391 | 1 m and 51 s |
9 July 2021 | 101,881 | 29 m and 45 s | 602 | 2 m and 24 s |
5 August 2021 | 35,510 | 12 m and 12 s | 225 | 1 m and 10 s |
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Share and Cite
Ding, Y.; Gao, S.; Huang, G.; Wu, L.; Wang, Z.; Yuan, C.; Yu, Z. A Novel Method for Simplifying the Distribution Envelope of Green Tide for Fast Drift Prediction in the Yellow Sea, China. Remote Sens. 2024, 16, 3520. https://doi.org/10.3390/rs16183520
Ding Y, Gao S, Huang G, Wu L, Wang Z, Yuan C, Yu Z. A Novel Method for Simplifying the Distribution Envelope of Green Tide for Fast Drift Prediction in the Yellow Sea, China. Remote Sensing. 2024; 16(18):3520. https://doi.org/10.3390/rs16183520
Chicago/Turabian StyleDing, Yi, Song Gao, Guoman Huang, Lingjuan Wu, Zhiyong Wang, Chao Yuan, and Zhigang Yu. 2024. "A Novel Method for Simplifying the Distribution Envelope of Green Tide for Fast Drift Prediction in the Yellow Sea, China" Remote Sensing 16, no. 18: 3520. https://doi.org/10.3390/rs16183520