Using Unoccupied Aerial Vehicles (UAVs) to Map Seagrass Cover from Sentinel-2 Imagery
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Site
2.2. UAV Data Collection, Processing and Classification
2.3. Satellite Data Collection and Processing
3. Results
3.1. UAV Classifications
3.2. Satellite Pre-Processing
3.3. Object-Based Classification
3.4. Pixel-Based Regression
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Category | Producer Accuracy | User Accuracy | |
---|---|---|---|
Seagrass Cover (%) | 1–10 | 0.17 | 0.31 |
10–40 | 0.39 | 0.32 | |
40–70 | 0.34 | 0.36 | |
70–100 | 0.63 | 0.55 | |
Coral | 0.75 | 0.91 | |
Sand | 0.11 | 0.73 | |
Overall Accuracy | 0.48 |
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Carpenter, S.; Byfield, V.; Felgate, S.L.; Price, D.M.; Andrade, V.; Cobb, E.; Strong, J.; Lichtschlag, A.; Brittain, H.; Barry, C.; et al. Using Unoccupied Aerial Vehicles (UAVs) to Map Seagrass Cover from Sentinel-2 Imagery. Remote Sens. 2022, 14, 477. https://doi.org/10.3390/rs14030477
Carpenter S, Byfield V, Felgate SL, Price DM, Andrade V, Cobb E, Strong J, Lichtschlag A, Brittain H, Barry C, et al. Using Unoccupied Aerial Vehicles (UAVs) to Map Seagrass Cover from Sentinel-2 Imagery. Remote Sensing. 2022; 14(3):477. https://doi.org/10.3390/rs14030477
Chicago/Turabian StyleCarpenter, Stephen, Val Byfield, Stacey L. Felgate, David M. Price, Valdemar Andrade, Eliceo Cobb, James Strong, Anna Lichtschlag, Hannah Brittain, Christopher Barry, and et al. 2022. "Using Unoccupied Aerial Vehicles (UAVs) to Map Seagrass Cover from Sentinel-2 Imagery" Remote Sensing 14, no. 3: 477. https://doi.org/10.3390/rs14030477