How much inundation occurs in the Amazon River basin?
The Amazon River basin harbors some of the world's largest wetland complexes, which are of major importance for biodiversity, the water cycle and climate, and human activities. Accurate estimates of inundation extent and its variations across spatial and temporal scales are therefore fundamenta...
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Science::Geology Brazil Flooding Fleischmann, Ayan Santos Papa, Fabrice Fassoni-Andrade, Alice Melack, John M. Wongchuig, Sly Paiva, Rodrigo Cauduro Dias Hamilton, Stephen K. Fluet-Chouinard, Etienne Barbedo, Rafael Aires, Filipe Al Bitar, Ahmad Bonnet, Marie-Paule Coe, Michael Ferreira-Ferreira, Jefferson Hess, Laura Jensen, Katherine McDonald, Kyle Ovando, Alex Park, Edward Parrens, Marie Pinel, Sebastien Prigent, Catherine Resende, Angelica F. Revel, Menaka Rosenqvist, Ake Rosenqvist, Jessica Rudorff, Conrado Silva, Thiago S. F. Yamazaki, Dai Collischonn, Walter How much inundation occurs in the Amazon River basin? |
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The Amazon River basin harbors some of the world's largest wetland complexes, which are of major importance for biodiversity, the water cycle and climate, and human activities. Accurate estimates of inundation extent and its variations across spatial and temporal scales are therefore fundamental to understand and manage the basin's resources. More than fifty inundation estimates have been generated for this region, yet major differences exist among the datasets, and a comprehensive assessment of them is lacking. Here we present an intercomparison of 29 inundation datasets for the Amazon basin, based on remote sensing only, hydrological modeling, or multi-source datasets, with 18 covering the lowland Amazon basin (elevation <500 m, which includes most Amazon wetlands), and 11 covering individual wetland complexes (subregional datasets). Spatial resolutions range from 12.5 m to 25 km, and temporal resolution from static to monthly, spanning up to a few decades. Overall, 31% of the lowland basin is estimated as subject to inundation by at least one dataset. The long-term maximum inundated area across the lowland basin is estimated at 599,700 ± 81,800 km2 if considering the three higher quality SAR-based datasets, and 490,300 ± 204,800 km2 if considering all 18 datasets. However, even the highest resolution SAR-based dataset underestimates the maximum values for individual wetland complexes, suggesting a basin-scale underestimation of ~10%. The minimum inundation extent shows greater disagreements among datasets than the maximum extent: 139,300 ± 127,800 km2 for SAR-based ones and 112,392 ± 79,300 km2 for all datasets. Discrepancies arise from differences among sensors, time periods, dates of acquisition, spatial resolution, and data processing algorithms. The median total area subject to inundation in medium to large river floodplains (drainage area > 1000 km2) is 323,700 km2. The highest spatial agreement is observed for floodplains dominated by open water such as along the lower Amazon River, whereas intermediate agreement is found along major vegetated floodplains fringing larger rivers (e.g., Amazon mainstem floodplain). Especially large disagreements exist among estimates for interfluvial wetlands (Llanos de Moxos, Pacaya-Samiria, Negro, Roraima), where inundation tends to be shallower and more variable in time. Our data intercomparison helps identify the current major knowledge gaps regarding inundation mapping in the Amazon and their implications for multiple applications. In the context of forthcoming hydrology-oriented satellite missions, we make recommendations for future developments of inundation estimates in the Amazon and present a WebGIS application (https://amazon-inundation.herokuapp.com/) we developed to provide user-friendly visualization and data acquisition of current Amazon inundation datasets. |
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Asian School of the Environment |
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Asian School of the Environment Fleischmann, Ayan Santos Papa, Fabrice Fassoni-Andrade, Alice Melack, John M. Wongchuig, Sly Paiva, Rodrigo Cauduro Dias Hamilton, Stephen K. Fluet-Chouinard, Etienne Barbedo, Rafael Aires, Filipe Al Bitar, Ahmad Bonnet, Marie-Paule Coe, Michael Ferreira-Ferreira, Jefferson Hess, Laura Jensen, Katherine McDonald, Kyle Ovando, Alex Park, Edward Parrens, Marie Pinel, Sebastien Prigent, Catherine Resende, Angelica F. Revel, Menaka Rosenqvist, Ake Rosenqvist, Jessica Rudorff, Conrado Silva, Thiago S. F. Yamazaki, Dai Collischonn, Walter |
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Article |
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Fleischmann, Ayan Santos Papa, Fabrice Fassoni-Andrade, Alice Melack, John M. Wongchuig, Sly Paiva, Rodrigo Cauduro Dias Hamilton, Stephen K. Fluet-Chouinard, Etienne Barbedo, Rafael Aires, Filipe Al Bitar, Ahmad Bonnet, Marie-Paule Coe, Michael Ferreira-Ferreira, Jefferson Hess, Laura Jensen, Katherine McDonald, Kyle Ovando, Alex Park, Edward Parrens, Marie Pinel, Sebastien Prigent, Catherine Resende, Angelica F. Revel, Menaka Rosenqvist, Ake Rosenqvist, Jessica Rudorff, Conrado Silva, Thiago S. F. Yamazaki, Dai Collischonn, Walter |
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Fleischmann, Ayan Santos |
title |
How much inundation occurs in the Amazon River basin? |
title_short |
How much inundation occurs in the Amazon River basin? |
title_full |
How much inundation occurs in the Amazon River basin? |
title_fullStr |
How much inundation occurs in the Amazon River basin? |
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How much inundation occurs in the Amazon River basin? |
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how much inundation occurs in the amazon river basin? |
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2023 |
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https://hdl.handle.net/10356/164125 |
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sg-ntu-dr.10356-1641252023-01-05T06:53:34Z How much inundation occurs in the Amazon River basin? Fleischmann, Ayan Santos Papa, Fabrice Fassoni-Andrade, Alice Melack, John M. Wongchuig, Sly Paiva, Rodrigo Cauduro Dias Hamilton, Stephen K. Fluet-Chouinard, Etienne Barbedo, Rafael Aires, Filipe Al Bitar, Ahmad Bonnet, Marie-Paule Coe, Michael Ferreira-Ferreira, Jefferson Hess, Laura Jensen, Katherine McDonald, Kyle Ovando, Alex Park, Edward Parrens, Marie Pinel, Sebastien Prigent, Catherine Resende, Angelica F. Revel, Menaka Rosenqvist, Ake Rosenqvist, Jessica Rudorff, Conrado Silva, Thiago S. F. Yamazaki, Dai Collischonn, Walter Asian School of the Environment National Institute of Education Earth Observatory of Singapore Science::Geology Brazil Flooding The Amazon River basin harbors some of the world's largest wetland complexes, which are of major importance for biodiversity, the water cycle and climate, and human activities. Accurate estimates of inundation extent and its variations across spatial and temporal scales are therefore fundamental to understand and manage the basin's resources. More than fifty inundation estimates have been generated for this region, yet major differences exist among the datasets, and a comprehensive assessment of them is lacking. Here we present an intercomparison of 29 inundation datasets for the Amazon basin, based on remote sensing only, hydrological modeling, or multi-source datasets, with 18 covering the lowland Amazon basin (elevation <500 m, which includes most Amazon wetlands), and 11 covering individual wetland complexes (subregional datasets). Spatial resolutions range from 12.5 m to 25 km, and temporal resolution from static to monthly, spanning up to a few decades. Overall, 31% of the lowland basin is estimated as subject to inundation by at least one dataset. The long-term maximum inundated area across the lowland basin is estimated at 599,700 ± 81,800 km2 if considering the three higher quality SAR-based datasets, and 490,300 ± 204,800 km2 if considering all 18 datasets. However, even the highest resolution SAR-based dataset underestimates the maximum values for individual wetland complexes, suggesting a basin-scale underestimation of ~10%. The minimum inundation extent shows greater disagreements among datasets than the maximum extent: 139,300 ± 127,800 km2 for SAR-based ones and 112,392 ± 79,300 km2 for all datasets. Discrepancies arise from differences among sensors, time periods, dates of acquisition, spatial resolution, and data processing algorithms. The median total area subject to inundation in medium to large river floodplains (drainage area > 1000 km2) is 323,700 km2. The highest spatial agreement is observed for floodplains dominated by open water such as along the lower Amazon River, whereas intermediate agreement is found along major vegetated floodplains fringing larger rivers (e.g., Amazon mainstem floodplain). Especially large disagreements exist among estimates for interfluvial wetlands (Llanos de Moxos, Pacaya-Samiria, Negro, Roraima), where inundation tends to be shallower and more variable in time. Our data intercomparison helps identify the current major knowledge gaps regarding inundation mapping in the Amazon and their implications for multiple applications. In the context of forthcoming hydrology-oriented satellite missions, we make recommendations for future developments of inundation estimates in the Amazon and present a WebGIS application (https://amazon-inundation.herokuapp.com/) we developed to provide user-friendly visualization and data acquisition of current Amazon inundation datasets. Ministry of Education (MOE) Nanyang Technological University The work was part of the SABERES project financed by the BNPParibas Foundation as part of its “Climate & Biodiversity Initiative” program 2019. A.S.F. was supported by CNPq (Conselho Nacional de Desenvolvimento Científico e Tecnologico, ´ Brazil) [grant number 141161/2017-5]. F.P., J.F.F., M.P.B. and F.A. received support from CNES (SWOT-ST project SWOT for SOUTH AMERICA, ID: 6018-4500066497). F.P. and M.P.B. also received support from CNES (SWOT-ST project SWOT Wetlands Hydrology Monitoring). F.P. is supported by the IRD Groupement De Recherche International (GDRI) SCaHyLab. J.M.M. received support from NASA IDS grant NNX17AK49G and the US National Science Foundation (Division of Environmental Biology, grant 1753856). E.P. acknowledges Nanyang Technological University (SUG-NAP EP3/19) and Ministry of Education of Singapore (AcRF Tier1 RT 06/19 and AcRF Tier2 RT 11/ 21). A.F.R. acknowledges the Research Foundation of Sao ˜ Paulo (FAPESP, grant #2019/24049-5). S.W. has been supported by the French AMANECER-MOPGA project funded by ANR and IRD (ref. ANR18-MPGA-0008). M.C. received funding from NASA IDS grant NNX17AK49G. The SWAF dataset development was financed by the CATDS and the SWOT-AVAL programs by CNES. 2023-01-05T06:53:33Z 2023-01-05T06:53:33Z 2022 Journal Article Fleischmann, A. S., Papa, F., Fassoni-Andrade, A., Melack, J. M., Wongchuig, S., Paiva, R. C. D., Hamilton, S. K., Fluet-Chouinard, E., Barbedo, R., Aires, F., Al Bitar, A., Bonnet, M., Coe, M., Ferreira-Ferreira, J., Hess, L., Jensen, K., McDonald, K., Ovando, A., Park, E., ...Collischonn, W. (2022). How much inundation occurs in the Amazon River basin?. Remote Sensing of Environment, 278, 113099-. https://dx.doi.org/10.1016/j.rse.2022.113099 0034-4257 https://hdl.handle.net/10356/164125 10.1016/j.rse.2022.113099 2-s2.0-85131121930 278 113099 en SUG-NAP EP3/19 RT 06/19 RT 11/ 21 Remote Sensing of Environment © 2022 Elsevier Inc. All rights reserved. |