Formal Quantification of Spatially Differential Characteristics of PSI-Derived Vertical Surface Deformation Using Regular Triangle Network: A Case Study of Shixi in the Northwest Xuzhou Coalfield DOI Creative Commons

Cunfa Zhao,

Langping Li, Huiyong Yin

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(8), P. 1388 - 1388

Published: April 14, 2025

This study addresses the challenge of quantifying spatially differential vertical surface deformation (SDVSD). Traditional approaches using persistent scatterer interferometry (PSI) data often focus on bulk (VSD) but overlook directional variability and struggle with irregularly distributed (PS) points, limiting comprehensive SDVSD analysis. proposes a regular triangle network (RTN)-based framework that tessellates area into uniform triangular units, enabling systematic quantification direction, magnitude rate while mitigating spatial biases from uneven PS distributions. Applied to Shixi in China’s Northwest Xuzhou Coalfield, RTN-based revealed (1) directionality aligned coal strata dip working face distribution, contrasting VSD’s alone; (2) exhibited seasonal fluctuations suggesting environmental influences, and, unlike VSD, it has non-additivity property temporal evolution; (3) there was divergence between i.e., high VSD rates did not necessarily correlate rates, emphasizing need for an independent gradient demonstrates effectively disentangles (rate) components SDVSD, offering robust tool identification hotspots linking dynamics subsurface processes. By formalizing PSI-derived this advances InSAR monitoring, providing actionable insights infrastructure risk mitigation sustainable land management mining regions beyond.

Language: Английский

Formal Quantification of Spatially Differential Characteristics of PSI-Derived Vertical Surface Deformation Using Regular Triangle Network: A Case Study of Shixi in the Northwest Xuzhou Coalfield DOI Creative Commons

Cunfa Zhao,

Langping Li, Huiyong Yin

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(8), P. 1388 - 1388

Published: April 14, 2025

This study addresses the challenge of quantifying spatially differential vertical surface deformation (SDVSD). Traditional approaches using persistent scatterer interferometry (PSI) data often focus on bulk (VSD) but overlook directional variability and struggle with irregularly distributed (PS) points, limiting comprehensive SDVSD analysis. proposes a regular triangle network (RTN)-based framework that tessellates area into uniform triangular units, enabling systematic quantification direction, magnitude rate while mitigating spatial biases from uneven PS distributions. Applied to Shixi in China’s Northwest Xuzhou Coalfield, RTN-based revealed (1) directionality aligned coal strata dip working face distribution, contrasting VSD’s alone; (2) exhibited seasonal fluctuations suggesting environmental influences, and, unlike VSD, it has non-additivity property temporal evolution; (3) there was divergence between i.e., high VSD rates did not necessarily correlate rates, emphasizing need for an independent gradient demonstrates effectively disentangles (rate) components SDVSD, offering robust tool identification hotspots linking dynamics subsurface processes. By formalizing PSI-derived this advances InSAR monitoring, providing actionable insights infrastructure risk mitigation sustainable land management mining regions beyond.

Language: Английский

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