Articles | Volume 382
https://doi.org/10.5194/piahs-382-249-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/piahs-382-249-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Land subsidence monitoring based on PS-InSAR Persistent Scatterers identification with spectral analysis method
Di Zhou
College of Geospatial Information Science and Technology, Capital
Normal University,Beijing, 100048, China
State Key Laboratory Incubation Base of Urban Environmental Processes
and Digital Simulation, Beijing, 100048, China
Key Laboratory of 3-Dimensional Information Acquisition and
Application, Ministry of Education, Beijing, 100048, China
Jie Yu
CORRESPONDING AUTHOR
College of Geospatial Information Science and Technology, Capital
Normal University,Beijing, 100048, China
College of Resource Environment and Tourism, Capital Normal
University, Beijing, 100048, China
State Key Laboratory Incubation Base of Urban Environmental Processes
and Digital Simulation, Beijing, 100048, China
Beijing Laboratory of Water Resources Security, Beijing Municipal Education Commission, Beijing, 100048, China
Key Laboratory of 3-Dimensional Information Acquisition and
Application, Ministry of Education, Beijing, 100048, China
College of Geospatial Information Science and Technology, Capital
Normal University,Beijing, 100048, China
College of Resource Environment and Tourism, Capital Normal
University, Beijing, 100048, China
State Key Laboratory Incubation Base of Urban Environmental Processes
and Digital Simulation, Beijing, 100048, China
Beijing Laboratory of Water Resources Security, Beijing Municipal Education Commission, Beijing, 100048, China
Key Laboratory of 3-Dimensional Information Acquisition and
Application, Ministry of Education, Beijing, 100048, China
Yanbing Wang
College of Geospatial Information Science and Technology, Capital
Normal University,Beijing, 100048, China
College of Resource Environment and Tourism, Capital Normal
University, Beijing, 100048, China
State Key Laboratory Incubation Base of Urban Environmental Processes
and Digital Simulation, Beijing, 100048, China
Jing Zhang
College of Geospatial Information Science and Technology, Capital
Normal University,Beijing, 100048, China
College of Resource Environment and Tourism, Capital Normal
University, Beijing, 100048, China
Key Laboratory of 3-Dimensional Information Acquisition and
Application, Ministry of Education, Beijing, 100048, China
Shuai Jiao
College of Resource Environment and Tourism, Capital Normal
University, Beijing, 100048, China
Ren Shu Chen
College of Resource Environment and Tourism, Capital Normal
University, Beijing, 100048, China
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Short summary
To overcome the problem that layover scatterers with no amplitude stability and spatial coherence are lead to reliability insufficient and accuracy reduction in monitoring urban land subsidence, we applied the Fast Fourier Transform to convert Persistent Scatterers to frequency domain during the PS-InSAR identification process. The method could identify and separate single and layover scatterers, reduced the effect of layover scatterers, improved the accuracy of urban land subsidence monitoring.
To overcome the problem that layover scatterers with no amplitude stability and spatial...