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Using InSAR to identify hydrological connectivity and barriers in a highly fragmented wetland.

Authors :
Liu, Dan
Wang, Xuan
Aminjafari, Saeid
Yang, Wei
Cui, Baoshan
Yan, Shengjun
Zhang, Yunlong
Zhu, Jie
Jaramillo, Fernando
Source :
Hydrological Processes; 11/15/2020, Vol. 34 Issue 23, p4417-4430, 14p
Publication Year :
2020

Abstract

Hydrological connectivity is a critical determinant of wetland functions and health, especially in wetlands that have been heavily fragmented and regulated by human activities. However, investigating hydrological connectivity in these wetlands is challenging due to the costs of high‐resolution and large‐scale monitoring required in order to identify hydrological barriers within the wetlands. To overcome this challenge, we here propose an interferometric synthetic aperture radar (InSAR)‐based methodology to map hydrologic connectivity and identify hydrological barriers in fragmented wetlands. This methodology was applied along 70 transects across the Baiyangdian, the largest freshwater wetland in northern China, using Sentinel 1A and 1B data, covering the period 2016–2019. We generated 58 interferograms providing information on relative water level changes across the transects that showed the high coherence needed for the assessment of hydrological connectivity. We mapped the permanent and conditional (temporary) barriers affecting connectivity. In total, 11% of all transects are permanently disconnected by hydrological barriers across all interferograms and 58% of the transects are conditionally disconnected. Areas covered by reed grasslands show the most undisturbed hydrological connectivity while some of these barriers are the result of ditches and channels within the wetland and low water levels during different periods of the year. This study highlights the potential of the application of Wetland InSAR to determine hydrological connectivity and location of hydrological barriers in highly fragmented wetlands, and facilitates the study of hydrological processes from large spatial scales and long‐time scales using remote sensing technique. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08856087
Volume :
34
Issue :
23
Database :
Complementary Index
Journal :
Hydrological Processes
Publication Type :
Academic Journal
Accession number :
146808807
Full Text :
https://doi.org/10.1002/hyp.13899