Remote sensing of broad-scale controls on large river anabranching
Highlights Landsat images capture detailed river anabranching in the 20 world's large rivers. ∼49% of studied large-river mainstems are anabranching. Low water surface slopes and wide floodplains are main factors for anabranching. Substrate lithology, permafrost, and upland sedimentation are co...
Published in: | Remote Sensing of Environment |
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2022
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Online Access: | https://hdl.handle.net/1983/5cbd17c5-e2bf-4def-a17b-9067e9204e54 https://research-information.bris.ac.uk/en/publications/5cbd17c5-e2bf-4def-a17b-9067e9204e54 https://doi.org/10.1016/j.rse.2022.113243 |
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ftubristolcris:oai:research-information.bris.ac.uk:publications/5cbd17c5-e2bf-4def-a17b-9067e9204e54 2024-02-04T10:03:50+01:00 Remote sensing of broad-scale controls on large river anabranching Wang, Bo Smith, Laurence C. Yang, Xiao Pavelsky, Tamlin M. Altenau, Elizabeth H. Gleason, Colin J. Pietroniro, Alain Rodriguez, Ernesto Bates, Paul D. 2022-11-01 info:eu-repo/date/embargoEnd/2024-09-09 https://hdl.handle.net/1983/5cbd17c5-e2bf-4def-a17b-9067e9204e54 https://research-information.bris.ac.uk/en/publications/5cbd17c5-e2bf-4def-a17b-9067e9204e54 https://doi.org/10.1016/j.rse.2022.113243 eng eng info:eu-repo/semantics/embargoedAccess Wang , B , Smith , L C , Yang , X , Pavelsky , T M , Altenau , E H , Gleason , C J , Pietroniro , A , Rodriguez , E & Bates , P D 2022 , ' Remote sensing of broad-scale controls on large river anabranching ' , Remote Sensing of Environment , vol. 281 , 113243 . https://doi.org/10.1016/j.rse.2022.113243 Anabranching river Avulsion Large river Remote sensing application SWOT article 2022 ftubristolcris https://doi.org/10.1016/j.rse.2022.113243 2024-01-11T23:49:12Z Highlights Landsat images capture detailed river anabranching in the 20 world's large rivers. ∼49% of studied large-river mainstems are anabranching. Low water surface slopes and wide floodplains are main factors for anabranching. Substrate lithology, permafrost, and upland sedimentation are contributing factors. Abstract River patterns reflect complex geomorphological processes and affect ecosystems and human development along floodplains. Physical controls on anabranching development have been studied primarily at local scales on relatively small rivers (i.e., discharge <1000 m3 s−1). However, there has been little systematic quantification of river anabranching (development of stable multiple channels) for large rivers globally. Here, we use remote sensing, cloud computing, and geospatial analysis to explore the importance of water surface slope, floodplain topography, sediment supply, substrate lithology, and permafrost to anabranching throughout 20 of the world's largest river basins. We use Landsat-derived surface water extent to compute an anabranching index (Ai) for ∼1 M km of river reaches, and compare it with global datasets of water surface slope, available floodplain extent, substrate lithology, and permafrost. We find that ∼49 ± 19% of large-river mainstems are anabranching, ranging from at least ∼17% (Mekong) to as much as ∼84% (Ob’). At the basin scale, anabranching channels comprise at least ∼17% (Yenisey) to as much as ∼55% (Kolyma) of all Landsat-observable river reaches, with a mean global value of 35 ± 11%. Anabranching channel patterns are most commonly associated with low water surface slope (normalized slope < 0.2; absolute slope < 0.2 m km−1) accompanying wide floodplains (normalized floodplain width > 0.6; absolute width > 42 km). Cross-sectionally averaged channel width increases in the most intensely anabranching reaches, suggesting net sediment storage due to reduced stream power. Unconsolidated sedimentary substrates promote both the prevalence and intensity of ... Article in Journal/Newspaper permafrost University of Bristol: Bristol Research Kolyma ENVELOPE(161.000,161.000,69.500,69.500) Yenisey ENVELOPE(82.680,82.680,71.828,71.828) Remote Sensing of Environment 281 113243 |
institution |
Open Polar |
collection |
University of Bristol: Bristol Research |
op_collection_id |
ftubristolcris |
language |
English |
topic |
Anabranching river Avulsion Large river Remote sensing application SWOT |
spellingShingle |
Anabranching river Avulsion Large river Remote sensing application SWOT Wang, Bo Smith, Laurence C. Yang, Xiao Pavelsky, Tamlin M. Altenau, Elizabeth H. Gleason, Colin J. Pietroniro, Alain Rodriguez, Ernesto Bates, Paul D. Remote sensing of broad-scale controls on large river anabranching |
topic_facet |
Anabranching river Avulsion Large river Remote sensing application SWOT |
description |
Highlights Landsat images capture detailed river anabranching in the 20 world's large rivers. ∼49% of studied large-river mainstems are anabranching. Low water surface slopes and wide floodplains are main factors for anabranching. Substrate lithology, permafrost, and upland sedimentation are contributing factors. Abstract River patterns reflect complex geomorphological processes and affect ecosystems and human development along floodplains. Physical controls on anabranching development have been studied primarily at local scales on relatively small rivers (i.e., discharge <1000 m3 s−1). However, there has been little systematic quantification of river anabranching (development of stable multiple channels) for large rivers globally. Here, we use remote sensing, cloud computing, and geospatial analysis to explore the importance of water surface slope, floodplain topography, sediment supply, substrate lithology, and permafrost to anabranching throughout 20 of the world's largest river basins. We use Landsat-derived surface water extent to compute an anabranching index (Ai) for ∼1 M km of river reaches, and compare it with global datasets of water surface slope, available floodplain extent, substrate lithology, and permafrost. We find that ∼49 ± 19% of large-river mainstems are anabranching, ranging from at least ∼17% (Mekong) to as much as ∼84% (Ob’). At the basin scale, anabranching channels comprise at least ∼17% (Yenisey) to as much as ∼55% (Kolyma) of all Landsat-observable river reaches, with a mean global value of 35 ± 11%. Anabranching channel patterns are most commonly associated with low water surface slope (normalized slope < 0.2; absolute slope < 0.2 m km−1) accompanying wide floodplains (normalized floodplain width > 0.6; absolute width > 42 km). Cross-sectionally averaged channel width increases in the most intensely anabranching reaches, suggesting net sediment storage due to reduced stream power. Unconsolidated sedimentary substrates promote both the prevalence and intensity of ... |
format |
Article in Journal/Newspaper |
author |
Wang, Bo Smith, Laurence C. Yang, Xiao Pavelsky, Tamlin M. Altenau, Elizabeth H. Gleason, Colin J. Pietroniro, Alain Rodriguez, Ernesto Bates, Paul D. |
author_facet |
Wang, Bo Smith, Laurence C. Yang, Xiao Pavelsky, Tamlin M. Altenau, Elizabeth H. Gleason, Colin J. Pietroniro, Alain Rodriguez, Ernesto Bates, Paul D. |
author_sort |
Wang, Bo |
title |
Remote sensing of broad-scale controls on large river anabranching |
title_short |
Remote sensing of broad-scale controls on large river anabranching |
title_full |
Remote sensing of broad-scale controls on large river anabranching |
title_fullStr |
Remote sensing of broad-scale controls on large river anabranching |
title_full_unstemmed |
Remote sensing of broad-scale controls on large river anabranching |
title_sort |
remote sensing of broad-scale controls on large river anabranching |
publishDate |
2022 |
url |
https://hdl.handle.net/1983/5cbd17c5-e2bf-4def-a17b-9067e9204e54 https://research-information.bris.ac.uk/en/publications/5cbd17c5-e2bf-4def-a17b-9067e9204e54 https://doi.org/10.1016/j.rse.2022.113243 |
long_lat |
ENVELOPE(161.000,161.000,69.500,69.500) ENVELOPE(82.680,82.680,71.828,71.828) |
geographic |
Kolyma Yenisey |
geographic_facet |
Kolyma Yenisey |
genre |
permafrost |
genre_facet |
permafrost |
op_source |
Wang , B , Smith , L C , Yang , X , Pavelsky , T M , Altenau , E H , Gleason , C J , Pietroniro , A , Rodriguez , E & Bates , P D 2022 , ' Remote sensing of broad-scale controls on large river anabranching ' , Remote Sensing of Environment , vol. 281 , 113243 . https://doi.org/10.1016/j.rse.2022.113243 |
op_rights |
info:eu-repo/semantics/embargoedAccess |
op_doi |
https://doi.org/10.1016/j.rse.2022.113243 |
container_title |
Remote Sensing of Environment |
container_volume |
281 |
container_start_page |
113243 |
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