Your search found 9 records
1 Rosenqvist, A.; Finlayson, Max; Lowry, J.; Taylor, D. 2007. The potential of long-wavelength satellite-borne radar to support implementation of the Ramsar Wetlands Convention. Aquatic Conservation: Marine and Freshwater Ecosystems, 17:229-244.
(Location: IWMI HQ Call no: IWMI 333.918 G000 ROS Record No: H039956)
2 Finlayson, Max; Rosenqvist, A.; Lowry, J. (Eds.) 2007. Special issue: satellite-based radar – developing tools for wetlands management. Aquatic Conservation: Marine and Freshwater Ecosystems, 17(3):219-329.
(Location: IWMI HQ Call no: P 7887 Record No: H040092)
3 Lucas, R. M.; Mitchell, A. L.; Rosenqvist, A.; Proisy, C.; Melius, A.; Ticehurst, C. 2007. The potential of L-band SAR for quantifying mangrove characteristics and change: Case studies from the tropics. Aquatic Conservation: Marine and Freshwater Ecosystems, 17(3):245-264.
Mangroves ; Ecology ; Biomass ; Remote sensing ; Mapping ; Monitoring ; Case studies / Australia / French Guiana / Malaysia / Alligator Rivers / Kakadu National Park / Queensland / Daintree River / Amazon River
(Location: IWMI HQ Call no: P 7887 Record No: H040094)
4 Rosenqvist, A.; Shimada, M. (Eds.) 2010. Global environmental monitoring by ALOS PALSAR: science results from the ALOS Kyoto and Carbon Initiative. Tsukuba, Ibaraki, Japan: Japan Aerospace Expoloration Agency. 87p.
Environmental monitoring ; Satellite imagery ; Forests ; Deforestation ; Mapping ; Watersheds ; Land cover mapping ; Deserts ; Wetlands ; Wildlife ; Nature conservation ; Habitats ; Flooding ; River basins ; Mangroves ; Peatlands ; Rice ; Climate change / Africa / Malawi / South Africa / Mozambique / USA / Brazil / Sweden / Canada / Australia / Asia / South East Asia / Borneo / Indonesia / Sumatra / Vietnam / Siberia / South East Asia / Amazon / Xingu Watershed / Greater Mekong Basin / Queensland / Nile River / Lake Urema / Congo River Basin / Sahara / Alaska
(Location: IWMI HQ Call no: e-copy only Record No: H043187)
http://www.eorc.jaxa.jp/ALOS/en/kyoto/ref/KC-Booklet_2010_comp.pdf
https://vlibrary.iwmi.org/pdf/H043187.pdf
https://vlibrary.iwmi.org/pdf/H043187.pdf
(17.26 MB) (17.26 MB)
This booklet presents results obtained within the ALOS Kyoto & Carbon (K&C) Initiative. The Initiative builds on the experience gained from the JERS-1 Global Rain Forest and Boreal Forest Mapping (GRFM/GBFM) projects, in which SAR data from the JERS-1 satellite were used to generate image mosaics over the entire tropical and boreal zones of Earth. While the GRFM/GBFM projects were undertaken already in the mid 1990's, they demonstrated the utility of L-band SAR data for mapping and monitoring forest and wetland areas and the importance of providing spatially and temporally consistent satellite acquisitions for regional-scale monitoring and surveillance. The ALOS K&C Initiative is set out to suppor t data and information needs raised by international environmental Conventions, Carbon cycle science and Conservation of the environment. The project is led by JAXA EORC and supported by an international Science Team consisting of some 25 research groups from 14 countries. The objective of the ALOS K&C Initiative is to develop regional-scale applications and thematic products derived primarily from ALOS PALSAR data that can be used to meet the specific information requirements relating to Conventions, Carbon and Conservation. The Initiative is undertaken within the context of three themes which relate to three specific global biomes; Forests, Wetlands and Deserts. A fourth theme deals with the generation of continental-scale ALOS PALSAR image mosaics. Each theme has identified key products that are generated from the PALSAR data including land cover, forest cover and forest change maps, biomass and structure (Forests), wetlands inventory and change (Wetlands) and freshwater resources (Deserts). Each of these products are generated using a combination of PALSAR, in situ and ancillary datasets. The mosaic data sets and thematic products generated within the Initiative are available to the public at the K&C homepage at JAXA EORC: http://www.eorc.jaxa.jp/ALOS/en/kyoto/kyoto_index.html
5 Rosenqvist, A.; Rebelo, Lisa-Maria; Costa, M. 2015. The ALOS Kyoto and Carbon Initiative: enabling the mapping, monitoring and assessment of globally important wetlands. Editorial. Wetlands Ecology and Management, 23(1):1. [doi: https://doi.org/10.1007/s11273-014-9400-4]
(Location: IWMI HQ Call no: e-copy only Record No: H047385)
http://link.springer.com/content/pdf/10.1007%2Fs11273-014-9400-4.pdf
https://vlibrary.iwmi.org/pdf/H047385.pdf
https://vlibrary.iwmi.org/pdf/H047385.pdf
(0.09 MB) (84.0 KB)
6 Bunting, P.; Rosenqvist, A.; Lucas, R. M.; Rebelo, Lisa-Maria; Thomas, N.; Hardy, A.; Itoh, T.; Shimada, M.; Finlayson, C. M. 2018. The global mangrove watch - a New 2010 global baseline of mangrove extent. Remote Sensing, 10(10):1-19. [doi: https://doi.org/10.3390/rs10101669]
Mangroves ; Wetlands ; Mapping ; Landsat ; Satellite imagery ; Satellite observation ; Earth observation satellites ; Human behaviour ; Coastal area ; Deltas ; Environmental monitoring
(Location: IWMI HQ Call no: e-copy only Record No: H049127)
(18 MB)
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.
7 Rebelo, Lisa-Maria; Finlayson, C. M.; Strauch, A.; Rosenqvist, A.; Perennou, C.; Totrup, C.; Hilarides, L.; Paganini, M.; Wielaard, N.; Siegert, F.; Ballhorn, U.; Navratil, P.; Franke, J.; Davidson, N. 2018. The use of earth observation for wetland inventory, assessment and monitoring: an information source for the Ramsar Convention on wetlands. Gland, Switzerland: Ramsar Convention Secretariat. 31p.
Earth observation satellites ; Wetlands ; Environmental impact assessment ; Environmental monitoring ; Surveys ; Land cover ; Land use ; Sustainable Development Goals ; Water quality ; Surface water ; Ecology ; Lakes ; Mediterranean region ; Coastal area ; Mangroves ; Mapping ; Case studies / Egypt / West Africa / Ghana / Southern Europe / Lake Burullus / Lake Volta / Lake Victoria
(Location: IWMI HQ Call no: e-copy only Record No: H049128)
https://www.ramsar.org/sites/default/files/documents/library/rtr10_earth_observation_e.pdf
https://vlibrary.iwmi.org/pdf/H049128.pdf
https://vlibrary.iwmi.org/pdf/H049128.pdf
(2.79 MB)
8 Bunting, P.; Rosenqvist, A.; Hilarides, L.; Lucas, R. M.; Thomas, N.; Tadono, T.; Worthington, T. A.; Spalding, M.; Murray, N. J.; Rebelo, Lisa-Maria. 2022. Global mangrove extent change 1996–2020: Global Mangrove Watch version 3.0. Remote Sensing, 14(15):3657. (Special issue: Advances in Remote Sensing of Land-Sea Ecosystems) [doi: https://doi.org/10.3390/rs14153657]
Mangroves ; Ecosystems ; Datasets ; Coastal erosion ; Time series analysis ; Estimation ; Landsat ; Satellite imagery ; SAR (radar) ; Observation ; Mapping
(Location: IWMI HQ Call no: e-copy only Record No: H051368)
https://www.mdpi.com/2072-4292/14/15/3657/pdf?version=1660028312
https://vlibrary.iwmi.org/pdf/H051368.pdf
https://vlibrary.iwmi.org/pdf/H051368.pdf
(12.00 MB) (12.0 MB)
Mangroves are a globally important ecosystem that provides a wide range of ecosystem system services, such as carbon capture and storage, coastal protection and fisheries enhancement. Mangroves have significantly reduced in global extent over the last 50 years, primarily as a result of deforestation caused by the expansion of agriculture and aquaculture in coastal environments. However, a limited number of studies have attempted to estimate changes in global mangrove extent, particularly into the 1990s, despite much of the loss in mangrove extent occurring pre-2000. 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 misregistration 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 km2 (133,996–176,910) of mangroves were identified for 1996, with this decreasing by -5245 km2 (-13,587–1444) resulting in a total extent of 147,359 km2 (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 toward conservation targets, protected area planning and risk assessments of mangrove ecosystems worldwide.
9 Strauch, A.; Bunting, P.; Campbell, J.; Cornish, N.; Eberle, J.; Fatoyinbo, T.; Franke, J.; Hentze, K.; Lagomasino, D.; Lucas, R.; Paganini, M.; Rebelo, Lisa-Maria; Riffler, M.; Rosenqvist, A.; Steinbach, S.; Thonfeld, F.; Tottrup, C. 2022. The fate of wetlands: can the view from space help us to stop and reverse their global decline?. In Kavvada, A.; Cripe, D.; Friedl, L. (Eds.). Earth observation applications and global policy frameworks. Washington, DC, USA: American Geophysical Union (AGU); Hoboken, NJ, USA: John Wiley. pp.85-104. (Geophysical Monograph Series 274) [doi: https://doi.org/10.1002/9781119536789.ch5]
Wetlands ; Monitoring ; Collaboration ; Frameworks ; Earth observation satellites ; Landsat ; Datasets ; Mapping ; Sustainable Development Goals ; Stakeholders ; Ecosystem services ; Water resources ; Surface water ; Water quality ; Mangroves ; Land use ; Land cover ; Normalized difference vegetation index ; Case studies / Europe / Africa / Rwanda / Senegal
(Location: IWMI HQ Call no: e-copy only Record No: H051369)
(23.00 MB)
Wetlands are among the most vulnerable, threatened, valuable, diverse, and heterogeneous ecosystems existing on our planet. While they provide invaluable ecosystem services to our society, they have been declining globally for many centuries. Monitoring of these changes is necessary for implementing efficient conservation policies and sustainable management schemes. Earth observation techniques can support the effort of monitoring, assessing, and inventorying wetlands at different scales with ever growing capabilities and toolsets. While the GEO-Wetlands initiative provides a framework for collaboratively increasing and utilizing these capabilities, global stakeholders like the Ramsar Convention on Wetlands and U.N. Environment are starting to adopt EO-based methods in their guidelines and technical reports. Many challenges still remain, although different projects and case studies successfully demonstrate the opportunities provided by the growing data archives, analysis algorithms, and processing capabilities. Many of these demonstrations focus on local wetland sites. The mapping and inventorying, specifically of vegetated wetlands, on national or even global scales remains a challenge for the wetlands and EO communities for years to come. Collaboration and partnership between different stakeholders of both communities are key for success. Initiatives like GEO-Wetlands, in cooperation with global stakeholders, need to provide the framework for this collaborative effort.
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