Usability of water surface reflectance for the determination of riverine dissolved methane during extreme flooding in northeastern Siberia
An extreme flooding event occurred from June to July 2017 in the Indigirka River lowland of northeastern Siberia. We used Landsat 8 satellite surface reflectance data to detect the flood inundation area and extract water color for delineating different water sources. We also took direct samples of d...
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fthokunivhus:oai:eprints.lib.hokudai.ac.jp:2115/82596 2023-05-15T15:07:27+02:00 Usability of water surface reflectance for the determination of riverine dissolved methane during extreme flooding in northeastern Siberia Morozumi, Tomoki Shingubara, Ryo Murase, Jun Nagai, Shin Kobayashi, Hideki Takano, Shinya Tei, Shunsuke Fan, Rong Maximov, Trofim C. Sugimoto, Atsuko http://hdl.handle.net/2115/82596 https://doi.org/10.1016/j.polar.2019.01.005 eng eng Elsevier http://hdl.handle.net/2115/82596 Polar Science, 21: 186-194 http://dx.doi.org/10.1016/j.polar.2019.01.005 © 2019, Elsevier. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ https://creativecommons.org/licenses/by-nc-sa/4.0/ CC-BY-NC-ND CC-BY-NC-SA Flooding Dissolved methane concentration Arctic Landsat 8 450 article (author version) fthokunivhus https://doi.org/10.1016/j.polar.2019.01.005 2022-11-18T01:05:19Z An extreme flooding event occurred from June to July 2017 in the Indigirka River lowland of northeastern Siberia. We used Landsat 8 satellite surface reflectance data to detect the flood inundation area and extract water color for delineating different water sources. We also took direct samples of dissolved methane concentrations in the river water. Relatively high concentrations of dissolved methane (0.7–1.1 μmol l−1, or μM) were observed in four tributary areas in 2017 during the flood's recession, while the values remained low in the main channel (0.2–0.3 μM). In contrast, the concentrations of dissolved methane were low in both the main channel and tributaries during the non-flood period of 2016 (0.1–0.2 μM). We then used 2017 satellite reflectance data with an empirical model to estimate the spatial differences of dissolved methane concentration for water sources contributing to the methane-poor main channel and methane-rich tributaries and applied the results to the calculation of riverine methane in the study region (approx. 200 × 300 km). This approach to estimating dissolved methane concentrations using satellite reflectance can provide a new tool for environmental monitoring of flood events in remote areas. Article in Journal/Newspaper Arctic Polar Science Polar Science Siberia Hokkaido University Collection of Scholarly and Academic Papers (HUSCAP) Arctic Indigirka ENVELOPE(149.609,149.609,70.929,70.929) Polar Science 21 186 194 |
institution |
Open Polar |
collection |
Hokkaido University Collection of Scholarly and Academic Papers (HUSCAP) |
op_collection_id |
fthokunivhus |
language |
English |
topic |
Flooding Dissolved methane concentration Arctic Landsat 8 450 |
spellingShingle |
Flooding Dissolved methane concentration Arctic Landsat 8 450 Morozumi, Tomoki Shingubara, Ryo Murase, Jun Nagai, Shin Kobayashi, Hideki Takano, Shinya Tei, Shunsuke Fan, Rong Maximov, Trofim C. Sugimoto, Atsuko Usability of water surface reflectance for the determination of riverine dissolved methane during extreme flooding in northeastern Siberia |
topic_facet |
Flooding Dissolved methane concentration Arctic Landsat 8 450 |
description |
An extreme flooding event occurred from June to July 2017 in the Indigirka River lowland of northeastern Siberia. We used Landsat 8 satellite surface reflectance data to detect the flood inundation area and extract water color for delineating different water sources. We also took direct samples of dissolved methane concentrations in the river water. Relatively high concentrations of dissolved methane (0.7–1.1 μmol l−1, or μM) were observed in four tributary areas in 2017 during the flood's recession, while the values remained low in the main channel (0.2–0.3 μM). In contrast, the concentrations of dissolved methane were low in both the main channel and tributaries during the non-flood period of 2016 (0.1–0.2 μM). We then used 2017 satellite reflectance data with an empirical model to estimate the spatial differences of dissolved methane concentration for water sources contributing to the methane-poor main channel and methane-rich tributaries and applied the results to the calculation of riverine methane in the study region (approx. 200 × 300 km). This approach to estimating dissolved methane concentrations using satellite reflectance can provide a new tool for environmental monitoring of flood events in remote areas. |
format |
Article in Journal/Newspaper |
author |
Morozumi, Tomoki Shingubara, Ryo Murase, Jun Nagai, Shin Kobayashi, Hideki Takano, Shinya Tei, Shunsuke Fan, Rong Maximov, Trofim C. Sugimoto, Atsuko |
author_facet |
Morozumi, Tomoki Shingubara, Ryo Murase, Jun Nagai, Shin Kobayashi, Hideki Takano, Shinya Tei, Shunsuke Fan, Rong Maximov, Trofim C. Sugimoto, Atsuko |
author_sort |
Morozumi, Tomoki |
title |
Usability of water surface reflectance for the determination of riverine dissolved methane during extreme flooding in northeastern Siberia |
title_short |
Usability of water surface reflectance for the determination of riverine dissolved methane during extreme flooding in northeastern Siberia |
title_full |
Usability of water surface reflectance for the determination of riverine dissolved methane during extreme flooding in northeastern Siberia |
title_fullStr |
Usability of water surface reflectance for the determination of riverine dissolved methane during extreme flooding in northeastern Siberia |
title_full_unstemmed |
Usability of water surface reflectance for the determination of riverine dissolved methane during extreme flooding in northeastern Siberia |
title_sort |
usability of water surface reflectance for the determination of riverine dissolved methane during extreme flooding in northeastern siberia |
publisher |
Elsevier |
url |
http://hdl.handle.net/2115/82596 https://doi.org/10.1016/j.polar.2019.01.005 |
long_lat |
ENVELOPE(149.609,149.609,70.929,70.929) |
geographic |
Arctic Indigirka |
geographic_facet |
Arctic Indigirka |
genre |
Arctic Polar Science Polar Science Siberia |
genre_facet |
Arctic Polar Science Polar Science Siberia |
op_relation |
http://hdl.handle.net/2115/82596 Polar Science, 21: 186-194 http://dx.doi.org/10.1016/j.polar.2019.01.005 |
op_rights |
© 2019, Elsevier. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ https://creativecommons.org/licenses/by-nc-sa/4.0/ |
op_rightsnorm |
CC-BY-NC-ND CC-BY-NC-SA |
op_doi |
https://doi.org/10.1016/j.polar.2019.01.005 |
container_title |
Polar Science |
container_volume |
21 |
container_start_page |
186 |
op_container_end_page |
194 |
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1766338948389404672 |