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6 results for “Global Mangrove Watch”
Global Mangrove Watch: Mangrove Habitat Mask
<p>This is the habitat mask used to define the locations where mangroves can be found. It was used during the creation of the Global Mangrove Watch (GMW; <a href="https://www.globalmangrovewatch.org/?map=eyJiYXNlbWFwIjoibGlnaHQiLCJ2aWV3cG9ydCI6eyJsYXRpdHVkZSI6MjAsImxvbmdpdHVkZSI6MCwiem9vbSI6MiwiYmVhcmluZyI6MCwicGl0Y2giOjB9fQ%3D%3D">https://www.globalmangrovewatch.org</a>) extent products. Details of how this layer was originally produced are within Bunting et al., 2018 but it has subsequently been edited with further regions added as the GMW layers have been updated and improved. This is considered a living dataset which is edited, and new versions are produced when missing areas or improvements are identified. New versions will be uploaded here on zenodo.</p> <p><strong>Relevant publications:</strong></p> <p>Bunting, P., Rosenqvist, A., Lucas, R., Rebelo, L.-M., Hilarides, L., Thomas, N., Hardy, A., Itoh, T., Shimada, M., Finlayson, C., 2018. The Global Mangrove Watch—A New 2010 Global Baseline of Mangrove Extent. Remote Sens-basel 10, 1669. <a href="https://doi.org/10.3390/rs10101669" target="_blank" rel="noopener">https://doi.org/10.3390/rs10101669</a></p> <p>Bunting, Pete, Rosenqvist, Ake, Lucas , Richard, Rebelo, Lisa-Maria, Hilarides, Lammert, Thomas, Nathan, Hardy, Andy, Itoh, Takuya, Shimada, Masanobu, & Finlayson, Max. (2019). Global Mangrove Watch (1996 - 2016) Version 2.0 (2.0) [Data set]. Zenodo. <a href="https://doi.org/10.5281/zenodo.5658808" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.5658808</a></p> <p>Bunting, P., Rosenqvist, A., Hilarides, L., Lucas, R.M., Thomas, N., 2022. Global Mangrove Watch: Updated 2010 Mangrove Forest Extent (v2.5). Remote Sens-basel 14, 1034. <a href="https://doi.org/10.3390/rs14041034" target="_blank" rel="noopener">https://doi.org/10.3390/rs14041034</a></p> <p>Pete Bunting, Ake Rosenqvist, Lammert Hilarides, Richard M. Lucas, & Nathan Thomas. (2022). Global Mangrove Watch 2010 Baseline (v2.5) (2.5) [Data set]. Zenodo. <a href="https://doi.org/10.5281/zenodo.5828339" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.5828339</a></p> <p>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. Global Mangrove Extent Change 1996–2020: Global Mangrove Watch Version 3.0. Remote Sens-basel 14, 3657. <a href="https://doi.org/10.3390/rs14153657" target="_blank" rel="noopener">https://doi.org/10.3390/rs14153657</a></p> <p>Bunting, P., Rosenqvist, A., Hilarides, L., Lucas, R., Thomas, N., Tadono, T., Worthington, T., Spalding, M., Murray, N., Rebelo, L.-M., (2022) Global Mangrove Watch (1996 - 2020) Version 3.0 Dataset. <a href="https://doi.org/10.5281/zenodo.6894273" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.6894273</a></p> <p><br><br> </p>
Global Mangrove Watch 2010 Baseline (v2.5)
<p>This dataset is an updated version of the Global Mangrove Watch (Bunting et al. 2018) 2010 global mangrove baseline. A number of regions have been remapped to improve quality and map regions missed in the older version 2.0 product published in 2018. </p>
Global Mangrove Watch (1996 - 2020) Version 3.0 Dataset
<p>This study has used L-band Synthetic Aperture Radar (SAR) global mosaic datasets from the Japan Aerospace Exploration Agency (JAXA) for 11 epochs from 1996 to 2020 to develop a long-term time-series of global mangrove extent and change. The study used a map-to-image approach to change detection where the baseline map (GMW v2.5) was updated using thresholding and a contextual mangrove change mask. This approach was applied between all image-date pairs producing 10 maps for each epoch, which were summarised to produce the global mangrove time-series. The resulting mangrove extent maps had an estimated accuracy of 87.4 % (95th conf. int.: 86.2 - 88.6 %), although the accuracies of the individual gain and loss change classes were lower at 58.1 % (52.4 - 63.9 %) and 60.6 % (56.1 - 64.8 %), respectively. Sources of error included a mis-registration in the SAR mosaic datasets, which could only be partially corrected for, but also confusion in fragmented areas of mangroves, such as around aquaculture ponds. Overall, 152,604 km<sup>2</sup> (133,996 - 176,910) of mangroves were identified for 1996, with this decreasing by -5,245 km<sup>2</sup> (-13,587 - 3686) resulting in a total extent of 147,359 km<sup>2</sup> (127,925 - 168,895) in 2020, and representing an estimated loss of 3.4 % over the 24-year time period. The Global Mangrove Watch Version 3.0 represents the most comprehensive record of global mangrove change achieved to date and is expected to support a wide range of activities, including the ongoing monitoring of the global coastal environment, defining and assessments of progress towards conservation targets, protected area planning and risk assessments of mangrove ecosystems worldwide.</p> <p>The paper which goes along with this dataset is available at the following reference:</p> <p>Bunting, P.; Rosenqvist, A.; Hilarides, L.; Lucas, R.M.; Thomas, T.; Tadono, T.; Worthington, T.A.; Spalding, M.; Murray, N.J.; Rebelo, L-M. Global Mangrove Extent Change 1996 – 2020: Global Mangrove Watch Version 3.0. Remote Sensing. 2022</p>
Global Mangrove Watch: Annual Mangrove Extent
<p>To improve the resolution and local relevance of the Global Mangrove Watch (GMW) baseline, a new layer has been created for 2020. Using Copernicus Sentinel-2 satellite imagery, processed to a pixel resolution of 10 m, the mangrove extent has been completely remapped and revised with many areas which were not previously mapped now included within the new map. This has increased the spatial resolution of the mapping from a pixel resolution of 25 m to 10 m, allowing finer features to be mapped, such as fringing and riverine mangroves.</p> <p><span>Using the same pre-processed Sentinel-2 data as used for the ESA WorldCover 2020 map (Zanaga et al., 2021), over 30,000 machine learning models were trained to classify mangroves using over 5 million reference points for mangrove and non-mangrove classes. The reference points were generated using the existing CoastTrain reference dataset (Murray et al., 2022), sampling from the GMW v3.0 mangrove extent layers, user feedback and extensive quality assurance and refinement during the production of the classification. </span></p>
Global Mangrove Watch: Monthly Alerts of Mangrove Loss for Africa 2019--2022
<p>This results from a prototype change alert system (Bunting et al., 2023) that has been developed to identify mangrove losses on a monthly basis. Implemented on the Microsoft Planetary Computer, the Global Mangrove Watch v3.0 mangrove baseline extent map (<a href="https://doi.org/10.3390/rs14153657">Bunting et al., 2022</a>) for 2018 was refined and used to define the mangrove extent mask under which potential losses would be identified. The study period was 2018-2022 due to the availability of the Copernicus Sentinel-2 imagery used for the study. The alert system is based on optimised NDVI thresholds used to identify mangrove losses and a temporal scoring system used to filter false positives. The alert system was found to have an estimated overall accuracy of 92.1 %, with the alert commission and omission estimated to be 10.4 % and 20.6 %, respectively. The alert system is presently limited to Africa, where significant losses were identified in the study period, with 90 % of the loss alerts identified in Nigeria, Guinea-Bissau, Madagascar, Mozambique and Guinea. The drivers of those losses vary, with West Africa primarily driven by economic activities such as agricultural conversion and infrastructure development. At the same time, East Africa is dominated by climatic drivers, primarily storm frequency and intensity. Production of the monthly loss alerts for Africa will be continued as part of the wider Global Mangrove Watch project, and the spatial coverage is expected to be expanded over the coming months and years. Future updates of the mangrove loss alerts will be via the Global Mangrove Watch portal: <a href="https://www.globalmangrovewatch.org">https://www.globalmangrovewatch.org</a></p>
Global Mangrove Watch (1996 - 2016) Version 2.0
<p>The Global Mangrove Watch (GMW) data layers were developed in a collaboration between Aberystwyth University (U.K.), solo Earth Observation (soloEO; Japan), Wetlands International the World Conservation Monitoring Centre (UNEP-WCMC) and the Japan Aerospace Exploration Agency (JAXA).</p> <p>The aim was to provide geospatial information about mangrove extent and changes to the Ramsar Convention, national wetland practitioners, decision makers and NGOs. It is part of the Ramsar Science and Technical Review Panel (STRP) work plan for 2016-2018 and a Pilot Project to the Ramsar Global Wetlands Observation System (GWOS), which is implemented under the GEO-Wetlands Initiative. The primary objective has been to provide countries lacking a national mangrove monitoring system with first cut mangrove extent and change maps, to help safeguard against further mangrove forest loss and degradation.</p> <p>The GMW has generated a global baseline map of mangroves for 2010 using ALOS PALSAR and Landsat (optical) data, and changes from this baseline for seven epochs between 1996 and 2016 derived from JERS-1, ALOS and ALOS-2. </p> <p> </p>
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