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- Publisher Website: 10.1080/01431161.2018.1516316
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Article: Water-volume variations of Lake Hulun estimated from serial Jason altimeters and Landsat TM/ETM+ images from 2002 to 2017
Title | Water-volume variations of Lake Hulun estimated from serial Jason altimeters and Landsat TM/ETM+ images from 2002 to 2017 |
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Authors | |
Issue Date | 2019 |
Citation | International Journal of Remote Sensing, 2019, v. 40, n. 2, p. 670-692 How to Cite? |
Abstract | © 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group. Lake Hulun is the fifth largest lake in China. The dramatic water-volume variations since the 21th century has aroused concerns from local and transboundary water resource authorities. To track its dynamics during the past sixteen years with no aid of in-situ data, serial Jason altimeters and optical remote sensing images were integrated to reconstruct the time series of the water-volume variations. We developed a workflow consisting of four procedures: 1) Deriving the water-level time series using Jason-1, Jason-2 and Jason-3 after applying a feature-based waveform classification method and a targeted waveform retracking strategy; 2) Extracting the water-area by using Landsat images; 3) Establishing the relationship between water-level and water-area; and 4) Reconstructing the water-volume variation time series by integrating the water-level time series and the relationship derived from 3). We found that Lake Hulun has gone through three stages of changes: 1) Period one (2002–2009), water-level and volume dropped significantly at a rate of −0.40 m yr −1 and −0.73 km 3 yr −1 , respectively. 2) Period two (2010–2012), the water-level and volume were relatively stable. 3) Period three (2013–2015), the water-level and volume began to rise rapidly at the rates of 1.09 m yr −1 and 1.99 km 3 yr −1 , respectively. In addition, two significant change years (2007 and 2013) were detected, which corresponded well with extreme climatic conditions. Preliminary analyses indicate that the water-volume variations are closely related to precipitation and temperature anomalies in wet seasons. |
Persistent Identifier | http://hdl.handle.net/10722/296958 |
ISSN | 2023 Impact Factor: 3.0 2023 SCImago Journal Rankings: 0.776 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Yuan, Cui | - |
dc.contributor.author | Gong, Peng | - |
dc.contributor.author | Liu, Caixia | - |
dc.contributor.author | Ke, Changqing | - |
dc.date.accessioned | 2021-02-25T15:17:03Z | - |
dc.date.available | 2021-02-25T15:17:03Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | International Journal of Remote Sensing, 2019, v. 40, n. 2, p. 670-692 | - |
dc.identifier.issn | 0143-1161 | - |
dc.identifier.uri | http://hdl.handle.net/10722/296958 | - |
dc.description.abstract | © 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group. Lake Hulun is the fifth largest lake in China. The dramatic water-volume variations since the 21th century has aroused concerns from local and transboundary water resource authorities. To track its dynamics during the past sixteen years with no aid of in-situ data, serial Jason altimeters and optical remote sensing images were integrated to reconstruct the time series of the water-volume variations. We developed a workflow consisting of four procedures: 1) Deriving the water-level time series using Jason-1, Jason-2 and Jason-3 after applying a feature-based waveform classification method and a targeted waveform retracking strategy; 2) Extracting the water-area by using Landsat images; 3) Establishing the relationship between water-level and water-area; and 4) Reconstructing the water-volume variation time series by integrating the water-level time series and the relationship derived from 3). We found that Lake Hulun has gone through three stages of changes: 1) Period one (2002–2009), water-level and volume dropped significantly at a rate of −0.40 m yr −1 and −0.73 km 3 yr −1 , respectively. 2) Period two (2010–2012), the water-level and volume were relatively stable. 3) Period three (2013–2015), the water-level and volume began to rise rapidly at the rates of 1.09 m yr −1 and 1.99 km 3 yr −1 , respectively. In addition, two significant change years (2007 and 2013) were detected, which corresponded well with extreme climatic conditions. Preliminary analyses indicate that the water-volume variations are closely related to precipitation and temperature anomalies in wet seasons. | - |
dc.language | eng | - |
dc.relation.ispartof | International Journal of Remote Sensing | - |
dc.title | Water-volume variations of Lake Hulun estimated from serial Jason altimeters and Landsat TM/ETM+ images from 2002 to 2017 | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1080/01431161.2018.1516316 | - |
dc.identifier.scopus | eid_2-s2.0-85055130729 | - |
dc.identifier.volume | 40 | - |
dc.identifier.issue | 2 | - |
dc.identifier.spage | 670 | - |
dc.identifier.epage | 692 | - |
dc.identifier.eissn | 1366-5901 | - |
dc.identifier.isi | WOS:000457495600012 | - |
dc.identifier.issnl | 0143-1161 | - |