The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
The Global Mangrove Watch—A New 2010 Global Baseline of Mangrove Extent
Open accessAbstract
This study presents a new global baseline of mangrove extent for 2010 and has been released as the first output of the Global Mangrove Watch (GMW) initiative. This is the first study to apply a globally consistent and automated method for mapping mangroves, identifying a global extent of 137,600 km 2 . The overall accuracy for mangrove extent was 94.0% with a 99% likelihood that the true value is between 93.6–94.5%, using 53,878 accuracy points across 20 sites distributed globally. Using the geographic regions of the Ramsar Convention on Wetlands, Asia has the highest proportion of mangroves with 38.7% of the global total, while Latin America and the Caribbean have 20.3%, Africa has 20.0%, Oceania has 11.9%, North America has 8.4% and the European Overseas Territories have 0.7%. The methodology developed is primarily based on the classification of ALOS PALSAR and Landsat sensor data, where a habitat mask was first generated, within which the classification of mangrove was undertaken using the Extremely Randomized Trees classifier. This new globally consistent baseline will also form the basis of a mangrove monitoring system using JAXA JERS-1 SAR, ALOS PALSAR and ALOS-2 PALSAR-2 radar data to assess mangrove change from 1996 to the present. However, when using the product, users should note that a minimum mapping unit of 1 ha is recommended and that the error increases in regions of disturbance and where narrow strips or smaller fragmented areas of mangroves are present. Artefacts due to cloud cover and the Landsat-7 SLC-off error are also present in some areas, particularly regions of West Africa due to the lack of Landsat-5 data and persistence cloud cover. In the future, consideration will be given to the production of a new global baseline based on 10 m Sentinel-2 composites.
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High-Resolution Global Maps of 21st-Century Forest Cover Change
Hansen, M. C., Potapov, P. V., Moore, R., Hancher, M., Turubanova, S. A., Tyukavina, A., Thau, D., Stehman, S. V., Goetz, S. J., Loveland, T. R., et al. (2013) · Science · doi:10.1126/science.1244693 · Cited by 11,704
High-resolution mapping of global surface water and its long-term changes
Pekel, J.-F., Cottam, A., Gorelick, N., & Belward, A. S. (2016) · Nature · doi:10.1038/nature20584 · Cited by 5,513
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Duarte, C. M., Agusti, S., Barbier, E., Britten, G. L., Castilla, J. C., Gattuso, J.-P., Fulweiler, R. W., Hughes, T. P., Knowlton, N., Lovelock, C. E., et al. (2020) · Nature · doi:10.1038/s41586-020-2146-7 · Cited by 1,070
Global declines in human‐driven mangrove loss
Goldberg, L., Lagomasino, D., Thomas, N., & Fatoyinbo, T. (2020) · Global Change Biology · doi:10.1111/gcb.15275 · Cited by 1,040
Self-citationThe State of the World's Mangrove Forests: Past, Present, and Future
Friess, D. A., Rogers, K., Lovelock, C. E., Krauss, K. W., Hamilton, S. E., Lee, S. Y., Lucas, R., Primavera, J., Rajkaran, A., & Shi, S. (2019) · Annual Review of Environment and Resources · doi:10.1146/annurev-environ-101718-033302 · Cited by 960
Self-citationGlobal Mangrove Extent Change 1996–2020: Global Mangrove Watch Version 3.0
Bunting, P., Rosenqvist, A., Hilarides, L., Lucas, R. M., Thomas, N., Tadono, T., Worthington, T. A., Spalding, M., Murray, N. J., & Rebelo, L.-M. (2022) · Remote Sensing · doi:10.3390/rs14153657 · Cited by 548
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Metadata
- Authors
- Bunting, P., Rosenqvist, A., Lucas, R. M., Rebelo, L.-M., Hilarides, L., Thomas, N., Hardy, A., Itoh, T., Shimada, M., & Finlayson, C. M.
- Venue
- Remote Sensing
- Publisher
- MDPI AG
- Published
- 2018-10-22
- Volume
- 10
- Issue
- 10
- Pages
- 1669
- ISSN
- 2072-4292 (ISSN-L)
- OpenAlex
- W2896252587
- Cited by
- 706
- References
- 23
- FWCI
- 39.29
- Type
- journal article
- Language
- en
- Open access
- gold
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