By Topic

Water level change time series extraction of Yellow River Delta based on small baseline subset approach

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Liang Fang ; Div. of Microwave Remote Sensing, Inst. of Remote Sensing Applic., Beijing, China ; Yun Shao ; Chou Xie ; Minghuan Yuan

The water level change has a great impact on the composition of plant species, the variety of the species and the succession of the colony of the Yellow River Delta wetland. However, due to the lack of enough hydrological sites, it is very difficult to obtain the water level change of the wetlands, especially those covered with vegetation. Synthetic aperture radar Interferometry (InSAR) has been proposed and used to solve the problem. However, with limited InSAR pairs, water level change time series cannot be obtained. In this paper, an InSAR time series analysis method called small baseline subset approach (SBAS) has been used to solve this problem. A total of 13 scenes of PALSAR L band SAR images are used for small baseline subset analysis. Only interferometric pairs with average coherence above 0.3 in the region of interest (wetlands with vegetation cover) are selected. Then small baseline subset approach was applied to interferograms after flattening, removal of the phase of terrain, filtering and phase unwrapping using minimum cost flow algorithm. Finally time series of relative water level change from June 28th, 2007 to December 31th, 2008 was obtained. Preliminary results on test sites showed an approximate linear-rate water level change. Our experiments showed the feasibility and potential of wetland water level change monitoring using SBAS.

Published in:

Geomatics for Integrated Water Resources Management (GIWRM), 2012 International Symposium on

Date of Conference:

19-21 Oct. 2012