Estimating Urban Land Subsidence with Satellite Data Using a Spatially Multiscale Geographically Weighted Regression Approach DOI
Limao Zhang,

Yiheng Su,

Penghui Lin

et al.

Published: Jan. 1, 2023

Land subsidence has attracted widespread attention because of its potential hazards to sustainable urban development. The traditional methods for estimating land disregard the crucial aspect altitude by analyzing spatial data solely on 2D plane (longitude and latitude geographic coordinates). This research incorporates feature into construction matrix develop a new method named spatially multiscale geographically weighted regression (SM-GWR) better estimation subsidence, enabling determine optimal bandwidth at 3D scales.The proposed method's feasibility is confirmed through examples in China Singapore. case study results demonstrate that: (1) SM-GWR model shows significant improvement fitting compared method; (2) contribution influencing factors highly related nature properties development city.

Language: Английский

Omnidirectional optic fiber shape sensor for submarine landslide monitoring DOI
Yang Yang,

Weikang Cai,

Yuanyuan Wang

et al.

Measurement, Journal Year: 2024, Volume and Issue: 239, P. 115429 - 115429

Published: July 31, 2024

Language: Английский

Citations

0
Soil-Pipeline interaction under localized soil Subsidence: Experimental Investigation DOI
Dao-Liang Lai, Li Xu, Fuquan Chen

et al.

Measurement, Journal Year: 2024, Volume and Issue: 242, P. 116175 - 116175

Published: Nov. 8, 2024

Citations

0
Estimating Urban Land Subsidence with Satellite Data Using a Spatially Multiscale Geographically Weighted Regression Approach DOI
Limao Zhang,

Yiheng Su,

Penghui Lin

et al.

Published: Jan. 1, 2023

Land subsidence has attracted widespread attention because of its potential hazards to sustainable urban development. The traditional methods for estimating land disregard the crucial aspect altitude by analyzing spatial data solely on 2D plane (longitude and latitude geographic coordinates). This research incorporates feature into construction matrix develop a new method named spatially multiscale geographically weighted regression (SM-GWR) better estimation subsidence, enabling determine optimal bandwidth at 3D scales.The proposed method's feasibility is confirmed through examples in China Singapore. case study results demonstrate that: (1) SM-GWR model shows significant improvement fitting compared method; (2) contribution influencing factors highly related nature properties development city.

Language: Английский

Citations

0