Remote Sensing in Mapping Mangrove Ecosystems — An Object-Based Approach
Abstract
:1. Introduction
2. Study Area and Data
2.1. Study Area
2.2. Mangrove Forest Management in Ca Mau
2.3. Data
3. Methodology
3.1. Preprocessing
3.2. Image Segmentation
3.3. Classification
3.4. Validation
4. Results
5. Discussion
6. Conclusions
Acknowledgments
References
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SPOT-5 (HRG) | |
---|---|
Band Wavelength (nm) | 480–710 (pan) |
500–590 (green) | |
610–680 (red) | |
790–890 (NIR) | |
1580–1750 (mid IR) | |
Spatial Resolution (m) | 2.5 × 2.5 (pan) |
10 × 10 (multi) | |
Swath Width (km) | 60 |
Revisit Time (days) | 26 |
Sensor | SPOT-5 MS |
---|---|
Date | 24.03.2010 |
Solar zenith angle (deg) | 27.3 |
Solar azimuth angle (deg) | 105.0 |
Sensor tilt angle (deg) | 19.7 |
Sensor view azimuth angle (deg) | 102.5 |
Water vapor category | Tropical |
Aerosol type | Maritime |
Average visibility (km) | 80.0 |
≤30% | 31%–50% | 51%–70% | >70% | River-Canal | Mudflat | Settle-Ment | Producers Accuracy | Users Accuracy | |
---|---|---|---|---|---|---|---|---|---|
≤30% | 62 | 11 | 5 | 0 | 1 | 0 | 2 | 89.86% | 76.54% |
31%–50% | 3 | 16 | 10 | 1 | 0 | 0 | 1 | 53.33% | 51.61% |
51%–70% | 2 | 1 | 14 | 3 | 0 | 0 | 3 | 42.42% | 60.87% |
>70% | 1 | 2 | 4 | 32 | 0 | 0 | 1 | 86.49% | 80.00% |
River-canal | 1 | 0 | 0 | 0 | 17 | 0 | 1 | 94.44% | 89.47% |
Mudflat | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 100.00% | 100.00% |
Settlement | 0 | 0 | 0 | 1 | 0 | 0 | 17 | 68.00% | 94.44% |
Share and Cite
Vo, Q.T.; Oppelt, N.; Leinenkugel, P.; Kuenzer, C. Remote Sensing in Mapping Mangrove Ecosystems — An Object-Based Approach. Remote Sens. 2013, 5, 183-201. https://doi.org/10.3390/rs5010183
Vo QT, Oppelt N, Leinenkugel P, Kuenzer C. Remote Sensing in Mapping Mangrove Ecosystems — An Object-Based Approach. Remote Sensing. 2013; 5(1):183-201. https://doi.org/10.3390/rs5010183
Chicago/Turabian StyleVo, Quoc Tuan, Natascha Oppelt, Patrick Leinenkugel, and Claudia Kuenzer. 2013. "Remote Sensing in Mapping Mangrove Ecosystems — An Object-Based Approach" Remote Sensing 5, no. 1: 183-201. https://doi.org/10.3390/rs5010183