12 datasets found
  1. Global Mangrove Distribution - Global Mangrove Watch

    • rmi-data.sprep.org
    • tuvalu-data.sprep.org
    • +13more
    pdf, zip
    Updated Feb 20, 2025
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    Secretariat of the Pacific Regional Environment Programme (2025). Global Mangrove Distribution - Global Mangrove Watch [Dataset]. https://rmi-data.sprep.org/dataset/global-mangrove-distribution-global-mangrove-watch
    Explore at:
    zip, pdf(516007)Available download formats
    Dataset updated
    Feb 20, 2025
    Dataset provided by
    Pacific Regional Environment Programmehttps://www.sprep.org/
    License

    Public Domain Mark 1.0https://creativecommons.org/publicdomain/mark/1.0/
    License information was derived automatically

    Area covered
    POLYGON ((-173.51806640625 -84.05256097843, 192.10693359375 84.738387120953, 192.10693359375 -84.05256097843)), -173.51806640625 84.738387120953, Pacific Region
    Description

    The Global Mangrove Watch (GMW) is 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).

    The GMW aims 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 of the GMW 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.

    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 2017 derived from JERS-1, ALOS and ALOS-2. Annual maps are planned from 2018 and onwards.

    Citations: Bunting P., Rosenqvist A., Lucas R., Rebelo L-M., Hilarides L., Thomas N., Hardy A., Itoh T., Shimada M. and Finlayson C.M. (2018). The Global Mangrove Watch – a New 2010 Global Baseline of Mangrove Extent. Remote Sensing 10(10): 1669. doi: 10.3390/rs1010669. Other cited references: Thomas N, Lucas R, Bunting P, Hardy A, Rosenqvist A, Simard M. (2017). Distribution and drivers of global mangrove forest change,

  2. a

    MANGROVE en 2015 GUINEE

    • geoprcm-prcm.hub.arcgis.com
    Updated Jun 19, 2023
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    PRCM (2023). MANGROVE en 2015 GUINEE [Dataset]. https://geoprcm-prcm.hub.arcgis.com/datasets/mangrove-en-2015-guinee
    Explore at:
    Dataset updated
    Jun 19, 2023
    Dataset authored and provided by
    PRCM
    Area covered
    Description

    The Global Mangrove Watch (GMW) is 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). The GMW aims 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 of the GMW 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. 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 2017 derived from JERS-1, ALOS and ALOS-2. Annual maps are planned from 2018 and onwards.

  3. a

    MANGROVE en 2016 GUINEE

    • geoprcm-prcm.hub.arcgis.com
    Updated Jun 19, 2023
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    PRCM (2023). MANGROVE en 2016 GUINEE [Dataset]. https://geoprcm-prcm.hub.arcgis.com/datasets/mangrove-en-2016-guinee
    Explore at:
    Dataset updated
    Jun 19, 2023
    Dataset authored and provided by
    PRCM
    Area covered
    Description

    The Global Mangrove Watch (GMW) is 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). The GMW aims 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 of the GMW 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. 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 2017 derived from JERS-1, ALOS and ALOS-2. Annual maps are planned from 2018 and onwards.

  4. a

    Mangrove 2009

    • geoprcm-prcm.hub.arcgis.com
    Updated Jun 5, 2023
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    PRCM (2023). Mangrove 2009 [Dataset]. https://geoprcm-prcm.hub.arcgis.com/maps/mangrove-2009
    Explore at:
    Dataset updated
    Jun 5, 2023
    Dataset authored and provided by
    PRCM
    Area covered
    Description

    The Global Mangrove Watch (GMW) is 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). The GMW aims 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 of the GMW 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. 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 2017 derived from JERS-1, ALOS and ALOS-2. Annual maps are planned from 2018 and onwards.

  5. a

    MANGROVE en 2009 GAMBIE

    • geoprcm-prcm.hub.arcgis.com
    Updated Jun 19, 2023
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    PRCM (2023). MANGROVE en 2009 GAMBIE [Dataset]. https://geoprcm-prcm.hub.arcgis.com/datasets/mangrove-en-2009-gambie
    Explore at:
    Dataset updated
    Jun 19, 2023
    Dataset authored and provided by
    PRCM
    Area covered
    Description

    The Global Mangrove Watch (GMW) is 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). The GMW aims 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 of the GMW 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. 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 2017 derived from JERS-1, ALOS and ALOS-2. Annual maps are planned from 2018 and onwards.

  6. a

    MANGROVE en 2008 GAMBIE

    • geoprcm-prcm.hub.arcgis.com
    Updated Jun 19, 2023
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    PRCM (2023). MANGROVE en 2008 GAMBIE [Dataset]. https://geoprcm-prcm.hub.arcgis.com/maps/dd53f6d1f3cb44d9a2178509d986db23
    Explore at:
    Dataset updated
    Jun 19, 2023
    Dataset authored and provided by
    PRCM
    Area covered
    Description

    The Global Mangrove Watch (GMW) is 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). The GMW aims 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 of the GMW 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. 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 2017 derived from JERS-1, ALOS and ALOS-2. Annual maps are planned from 2018 and onwards.

  7. a

    MANGROVE en 2015 GAMBIE

    • geoprcm-prcm.hub.arcgis.com
    Updated Jun 19, 2023
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    PRCM (2023). MANGROVE en 2015 GAMBIE [Dataset]. https://geoprcm-prcm.hub.arcgis.com/datasets/mangrove-en-2015-gambie
    Explore at:
    Dataset updated
    Jun 19, 2023
    Dataset authored and provided by
    PRCM
    Area covered
    Description

    The Global Mangrove Watch (GMW) is 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). The GMW aims 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 of the GMW 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. 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 2017 derived from JERS-1, ALOS and ALOS-2. Annual maps are planned from 2018 and onwards.

  8. a

    MANGROVE en 2016 GAMBIE

    • geoprcm-prcm.hub.arcgis.com
    Updated Jun 19, 2023
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    PRCM (2023). MANGROVE en 2016 GAMBIE [Dataset]. https://geoprcm-prcm.hub.arcgis.com/datasets/mangrove-en-2016-gambie
    Explore at:
    Dataset updated
    Jun 19, 2023
    Dataset authored and provided by
    PRCM
    Area covered
    Description

    The Global Mangrove Watch (GMW) is 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). The GMW aims 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 of the GMW 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. 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 2017 derived from JERS-1, ALOS and ALOS-2. Annual maps are planned from 2018 and onwards.

  9. a

    MANGROVE en 2007 GAMBIE

    • geoprcm-prcm.hub.arcgis.com
    Updated Jun 9, 2023
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    PRCM (2023). MANGROVE en 2007 GAMBIE [Dataset]. https://geoprcm-prcm.hub.arcgis.com/maps/PRCM::mangrove-en-2007-gambie/about?layer=8
    Explore at:
    Dataset updated
    Jun 9, 2023
    Dataset authored and provided by
    PRCM
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    The Global Mangrove Watch (GMW) is 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).The GMW aims 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 of the GMW has been to provide countries lacking a nationalmangrove monitoring system with first cut mangrove extent and change maps, to help safeguard against further mangrove forest loss and degradation.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 2017 derived from JERS-1, ALOS and ALOS-2. Annual maps are planned from 2018 and onwards.Le lien vers les métadonnées: https://drive.google.com/file/d/1HadQypg48jGx6dE-r6ztLyg8_2jZcoEC/view?usp=sharingLimitationsThe Landsat-7 ETM+ scanline error affects the classification in certain areas, resulting in striping artefacts in the data. In 2018, to assess the GMW data quality, classification accuracy was assessed with over 53,800 randomly sampled points across 20 randomly selected regions. Overall accuracy was 95.25 %, while User’s and Producer’s accuracies for the mangrove class were estimated at 97.5% and 94.0%, respectively. Users should be aware that it is a global-scale dataset, generated with a single methodology applied over all regions. As such, the accuracy of the map may vary between locations. Factors such as satellite data availability (due to clouds, cloud shadows and Landsat-7 ETM+ scanline error), mangrove species composition and level of degradation all influence the accuracy. The mangrove seaward border is generally more accurately defined than the landward side, where the distinction between mangrove and certain terrestrial vegetation types (e.g. tropical rainforest) can be lower.Projection cartographique: WGS 1984Liens en rapport avec les données- https://data.unep-wcmc.org/datasets/45- https://www.eorc.jaxa.jp/ALOS/en/kyoto/mangrovewatch.htm- https://www.arcgis.com/home/webmap/viewer.html?webmap=cc7b73b3ca264768ac769fb75755ffe5- https://gis.unepwcmc.org/arcgis/rest/services/marine/GMW_001_Change1996_2016/Source des données : The Global Mangrove Watch uses using ALOS PALSAR and Landsat data. More information on ALOS PALSAR can be found at : https://www.eorc.jaxa.jp/ALOS/en/about/palsar.htmCitation (s)Bunting P., Rosenqvist A., Lucas R., Rebelo L-M., Hilarides L., Thomas N., Hardy A., Itoh T., Shimada M. and Finlayson C.M. (2018). The Global Mangrove Watch – a New 2010 Global Baseline of Mangrove Extent. Remote Sensing 10(10): 1669. doi:10.3390/rs1010669.Other cited references: Thomas N, Lucas R, Bunting P, Hardy A, Rosenqvist A, Simard M. (2017). Distribution and drivers of global mangrove forest change, 1996-2010. PLOS ONE 12: e0179302. doi:10.1371/journal.pone.0179302Temporal range : 1996 – 2016Data format(s) : Vector (polygon; .shp), WMSDate de création de la couche : 2017Date de mise à jour de la couche : Pas informations

  10. a

    MANGROVE en 1996 GAMBIE

    • geoprcm-prcm.hub.arcgis.com
    Updated Jun 9, 2023
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    PRCM (2023). MANGROVE en 1996 GAMBIE [Dataset]. https://geoprcm-prcm.hub.arcgis.com/datasets/mangrove-en-1996-gambie
    Explore at:
    Dataset updated
    Jun 9, 2023
    Dataset authored and provided by
    PRCM
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    The Global Mangrove Watch (GMW) is 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).The GMW aims 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 of the GMW has been to provide countries lacking a nationalmangrove monitoring system with first cut mangrove extent and change maps, to help safeguard against further mangrove forest loss and degradation.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 2017 derived from JERS-1, ALOS and ALOS-2. Annual maps are planned from 2018 and onwards.Le lien vers les métadonnées: https://drive.google.com/file/d/1HadQypg48jGx6dE-r6ztLyg8_2jZcoEC/view?usp=sharingLimitationsThe Landsat-7 ETM+ scanline error affects the classification in certain areas, resulting in striping artefacts in the data. In 2018, to assess the GMW data quality, classification accuracy was assessed with over 53,800 randomly sampled points across 20 randomly selected regions. Overall accuracy was 95.25 %, while User’s and Producer’s accuracies for the mangrove class were estimated at 97.5% and 94.0%, respectively. Users should be aware that it is a global-scale dataset, generated with a single methodology applied over all regions. As such, the accuracy of the map may vary between locations. Factors such as satellite data availability (due to clouds, cloud shadows and Landsat-7 ETM+ scanline error), mangrove species composition and level of degradation all influence the accuracy. The mangrove seaward border is generally more accurately defined than the landward side, where the distinction between mangrove and certain terrestrial vegetation types (e.g. tropical rainforest) can be lower.Projection cartographique: WGS 1984Liens en rapport avec les données- https://data.unep-wcmc.org/datasets/45- https://www.eorc.jaxa.jp/ALOS/en/kyoto/mangrovewatch.htm- https://www.arcgis.com/home/webmap/viewer.html?webmap=cc7b73b3ca264768ac769fb75755ffe5- https://gis.unepwcmc.org/arcgis/rest/services/marine/GMW_001_Change1996_2016/Source des données : The Global Mangrove Watch uses using ALOS PALSAR and Landsat data. More information on ALOS PALSAR can be found at : https://www.eorc.jaxa.jp/ALOS/en/about/palsar.htmCitation (s)Bunting P., Rosenqvist A., Lucas R., Rebelo L-M., Hilarides L., Thomas N., Hardy A., Itoh T., Shimada M. and Finlayson C.M. (2018). The Global Mangrove Watch – a New 2010 Global Baseline of Mangrove Extent. Remote Sensing 10(10): 1669. doi:10.3390/rs1010669.Other cited references: Thomas N, Lucas R, Bunting P, Hardy A, Rosenqvist A, Simard M. (2017). Distribution and drivers of global mangrove forest change, 1996-2010. PLOS ONE 12: e0179302. doi:10.1371/journal.pone.0179302Temporal range : 1996 – 2016Data format(s) : Vector (polygon; .shp), WMSDate de création de la couche : 2017Date de mise à jour de la couche : Pas informations

  11. a

    MANGROVE en 1996

    • geoprcm-prcm.hub.arcgis.com
    Updated May 9, 2023
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    PRCM (2023). MANGROVE en 1996 [Dataset]. https://geoprcm-prcm.hub.arcgis.com/maps/mangrove-en-1996
    Explore at:
    Dataset updated
    May 9, 2023
    Dataset authored and provided by
    PRCM
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description
    The Global Mangrove Watch (GMW) is 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).The GMW aims 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 of the GMW has been to provide countries lacking a nationalmangrove monitoring system with first cut mangrove extent and change maps, to help safeguard against further mangrove forest loss and degradation.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 2017 derived from JERS-1, ALOS and ALOS-2. Annual maps are planned from 2018 and onwards.


    Limitations

    The Landsat-7 ETM+ scanline error affects the classification in certain areas, resulting in striping artefacts in the data. In 2018, to assess the GMW data quality, classification accuracy was assessed with over 53,800 randomly sampled points across 20 randomly selected regions. Overall accuracy was 95.25 %, while User’s and Producer’s accuracies for the mangrove class were estimated at 97.5% and 94.0%, respectively. Users should be aware that it is a global-scale dataset, generated with a single methodology applied over all regions. As such, the accuracy of the map may vary between locations. Factors such as satellite data availability (due to clouds, cloud shadows and Landsat-7 ETM+ scanline error), mangrove species composition and level of degradation all influence the accuracy. The mangrove seaward border is generally more accurately defined than the landward side, where the distinction between mangrove and certain terrestrial vegetation types (e.g. tropical rainforest) can be lower.

    Projection cartographique: WGS 1984

    Liens en rapport avec les données





    Source des données :

    The Global Mangrove Watch uses using ALOS PALSAR and Landsat data. More information

    on ALOS PALSAR can be found at : https://www.eorc.jaxa.jp/ALOS/en/about/palsar.htm

    Citation (s)

    Bunting P., Rosenqvist A., Lucas R., Rebelo L-M., Hilarides L., Thomas N., Hardy A., Itoh T., Shimada M. and Finlayson C.M. (2018). The Global Mangrove Watch – a New 2010 Global Baseline of Mangrove Extent. Remote Sensing 10(10): 1669. doi:10.3390/rs1010669.

    Other cited references: Thomas N, Lucas R, Bunting P, Hardy A, Rosenqvist A, Simard M. (2017). Distribution and drivers of global mangrove forest change, 1996-2010. PLOS ONE 12: e0179302. doi:10.1371/journal.pone.0179302

    Temporal range : 1996 – 2016

    Data format(s) : Vector (polygon; .shp), WMS

    Date de création de la couche : 2017

    Date de mise à jour de la couche : Pas informations
  12. a

    Végétation de Mangrove - Global Mangrove Watch (1996 - 2016)

    • geoprcm-prcm.hub.arcgis.com
    Updated Jun 19, 2023
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    PRCM (2023). Végétation de Mangrove - Global Mangrove Watch (1996 - 2016) [Dataset]. https://geoprcm-prcm.hub.arcgis.com/datasets/86ecba5a436c4c7ebd6df90fd1c54c73
    Explore at:
    Dataset updated
    Jun 19, 2023
    Dataset authored and provided by
    PRCM
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    The Global Mangrove Watch (GMW) is 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).The GMW aims 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 of the GMW has been to provide countries lacking a nationalmangrove monitoring system with first cut mangrove extent and change maps, to help safeguard against further mangrove forest loss and degradation.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 2017 derived from JERS-1, ALOS and ALOS-2. Annual maps are planned from 2018 and onwards.

    Le lien vers les métadonnées: https://drive.google.com/file/d/1HadQypg48jGx6dE-r6ztLyg8_2jZcoEC/view?usp=sharing

    Limitations

    The Landsat-7 ETM+ scanline error affects the classification in certain areas, resulting in striping artefacts in the data. In 2018, to assess the GMW data quality, classification accuracy was assessed with over 53,800 randomly sampled points across 20 randomly selected regions. Overall accuracy was 95.25 %, while User’s and Producer’s accuracies for the mangrove class were estimated at 97.5% and 94.0%, respectively. Users should be aware that it is a global-scale dataset, generated with a single methodology applied over all regions. As such, the accuracy of the map may vary between locations. Factors such as satellite data availability (due to clouds, cloud shadows and Landsat-7 ETM+ scanline error), mangrove species composition and level of degradation all influence the accuracy. The mangrove seaward border is generally more accurately defined than the landward side, where the distinction between mangrove and certain terrestrial vegetation types (e.g. tropical rainforest) can be lower.

    Projection cartographique: WGS 1984

    Liens en rapport avec les données

    - https://data.unep-wcmc.org/datasets/45

    - https://www.eorc.jaxa.jp/ALOS/en/kyoto/mangrovewatch.htm

    - https://www.arcgis.com/home/webmap/viewer.html?webmap=cc7b73b3ca264768ac769fb75755ffe5

    - https://gis.unepwcmc.org/arcgis/rest/services/marine/GMW_001_Change1996_2016/

    Source des données :

    The Global Mangrove Watch uses using ALOS PALSAR and Landsat data. More information

    on ALOS PALSAR can be found at : https://www.eorc.jaxa.jp/ALOS/en/about/palsar.htm

    Citation (s)

    Bunting P., Rosenqvist A., Lucas R., Rebelo L-M., Hilarides L., Thomas N., Hardy A., Itoh T., Shimada M. and Finlayson C.M. (2018). The Global Mangrove Watch – a New 2010 Global Baseline of Mangrove Extent. Remote Sensing 10(10): 1669. doi:10.3390/rs1010669.

    Other cited references: Thomas N, Lucas R, Bunting P, Hardy A, Rosenqvist A, Simard M. (2017). Distribution and drivers of global mangrove forest change, 1996-2010. PLOS ONE 12: e0179302. doi:10.1371/journal.pone.0179302

    Temporal range : 1996 – 2016

    Data format(s) : Vector (polygon; .shp), WMS

    Date de création de la couche : 2017

    Date de mise à jour de la couche : Pas

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Secretariat of the Pacific Regional Environment Programme (2025). Global Mangrove Distribution - Global Mangrove Watch [Dataset]. https://rmi-data.sprep.org/dataset/global-mangrove-distribution-global-mangrove-watch
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Global Mangrove Distribution - Global Mangrove Watch

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zip, pdf(516007)Available download formats
Dataset updated
Feb 20, 2025
Dataset provided by
Pacific Regional Environment Programmehttps://www.sprep.org/
License

Public Domain Mark 1.0https://creativecommons.org/publicdomain/mark/1.0/
License information was derived automatically

Area covered
POLYGON ((-173.51806640625 -84.05256097843, 192.10693359375 84.738387120953, 192.10693359375 -84.05256097843)), -173.51806640625 84.738387120953, Pacific Region
Description

The Global Mangrove Watch (GMW) is 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).

The GMW aims 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 of the GMW 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.

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 2017 derived from JERS-1, ALOS and ALOS-2. Annual maps are planned from 2018 and onwards.

Citations: Bunting P., Rosenqvist A., Lucas R., Rebelo L-M., Hilarides L., Thomas N., Hardy A., Itoh T., Shimada M. and Finlayson C.M. (2018). The Global Mangrove Watch – a New 2010 Global Baseline of Mangrove Extent. Remote Sensing 10(10): 1669. doi: 10.3390/rs1010669. Other cited references: Thomas N, Lucas R, Bunting P, Hardy A, Rosenqvist A, Simard M. (2017). Distribution and drivers of global mangrove forest change,

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