File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Water-volume variations of Lake Hulun estimated from serial Jason altimeters and Landsat TM/ETM+ images from 2002 to 2017

TitleWater-volume variations of Lake Hulun estimated from serial Jason altimeters and Landsat TM/ETM+ images from 2002 to 2017
Authors
Issue Date2019
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 Identifierhttp://hdl.handle.net/10722/296958
ISSN
2023 Impact Factor: 3.0
2023 SCImago Journal Rankings: 0.776
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorYuan, Cui-
dc.contributor.authorGong, Peng-
dc.contributor.authorLiu, Caixia-
dc.contributor.authorKe, Changqing-
dc.date.accessioned2021-02-25T15:17:03Z-
dc.date.available2021-02-25T15:17:03Z-
dc.date.issued2019-
dc.identifier.citationInternational Journal of Remote Sensing, 2019, v. 40, n. 2, p. 670-692-
dc.identifier.issn0143-1161-
dc.identifier.urihttp://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.languageeng-
dc.relation.ispartofInternational Journal of Remote Sensing-
dc.titleWater-volume variations of Lake Hulun estimated from serial Jason altimeters and Landsat TM/ETM+ images from 2002 to 2017-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1080/01431161.2018.1516316-
dc.identifier.scopuseid_2-s2.0-85055130729-
dc.identifier.volume40-
dc.identifier.issue2-
dc.identifier.spage670-
dc.identifier.epage692-
dc.identifier.eissn1366-5901-
dc.identifier.isiWOS:000457495600012-
dc.identifier.issnl0143-1161-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats