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Long term detection of water depth changes of coastal wetlands in the Yellow River Delta based on distributed scatterer interferometry

Xie, Chou and Xu, Ji and Shao, Yun and Cui, Baoshan and Goel, Kanika and Zhang, Yunjun and Yuan, Minghuan (2015) Long term detection of water depth changes of coastal wetlands in the Yellow River Delta based on distributed scatterer interferometry. Remote Sensing of Environment, 164, pp. 238-253. Elsevier. DOI: 10.1016/j.rse.2015.04.010 ISSN 0034-4257

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Official URL: http://www.sciencedirect.com/science/article/pii/S003442571500139X

Abstract

Coastal wetland ecosystems are among the most productive yet highly threatened systems in the world, and population growth and increasing economic development have resulted to extremely rapid degradation and loss of coastal wetlands. Spaceborne differential Interferometry SAR has proven a remarkable potential in wetland applications, including water level monitoring in high spatial resolution. However, due to the absence of ground observations for calibration and validation, long term monitoring of water depth, which is essential to evaluate ecosystem health of wetlands, is difficult to be estimated from spaceborne InSAR data. We present a new differential synthetic aperture radar method for temporal evolution of water depth in wetlands. The presented technique is based on distributed scatter interferogram technique in order to provide a spatially dense hydrological observation for coastal wetlands, which are characterized by high temporal decorrelation. This method adapts a strategy by forming optimum interferogram network to get a balance between maximum interferometric information preservation and computational cost reduction, and implements spatial adaptive filtering to reduce noise and enhance fringe visibility on distributed scatterers. Refined InSAR observation is tied to absolute reference frame to generate long term high resolution water level time-series using stage data. We transform water level time-series to long term observation of water depth with assistance of a dense measurement network of water depth. We present water depth time-series obtained using the data acquired from 2007 to 2010 by the ALOS satellite, which supplied significant information to evaluate ecological performance of wetland restoration in the Yellow River Delta.

Item URL in elib:https://elib.dlr.de/97441/
Document Type:Article
Title:Long term detection of water depth changes of coastal wetlands in the Yellow River Delta based on distributed scatterer interferometry
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Xie, ChouChinese Academy of Sciences, BeijingUNSPECIFIED
Xu, JiChinese Academy of Surveying and Mapping, BeijingUNSPECIFIED
Shao, YunChinese Academy of Sciences, BeijingUNSPECIFIED
Cui, BaoshanBeijing Normal University, BeijingUNSPECIFIED
Goel, KanikaKanika.Goel (at) dlr.deUNSPECIFIED
Zhang, YunjunUniversity of Miami, MiamiUNSPECIFIED
Yuan, MinghuanHunan Normal University, ChangshaUNSPECIFIED
Date:2015
Journal or Publication Title:Remote Sensing of Environment
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:164
DOI :10.1016/j.rse.2015.04.010
Page Range:pp. 238-253
Editors:
EditorsEmail
Hu, ChuanminUniversity of South Florida, St. Petersburg, Florida, USA
Chen, Jing. M.University of Toronto, Toronto, Ontario, Canada
Chuvieco, EmilioUniversidad de Alcalá, Alcalá de Henares, Madrid, Spain
Schaaf, CrystalUniversity of Massachusetts at Boston, Boston, Massachusetts, USA
Publisher:Elsevier
ISSN:0034-4257
Status:Published
Keywords:Wetlands, Water depth, Interferometry, Distributed scatterer, The Yellow River Delta
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute
Deposited By: Goel, Kanika
Deposited On:22 Jul 2015 13:13
Last Modified:31 Jul 2019 19:54

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