Constructing a Large-Scale Urban Land Subsidence Prediction Method Based on Neural Network Algorithm from the Perspective of Multiple Factors

Dingyi Zhou, Xiaoqing Zuo, Zhifang Zhao

Remote Sensing

EngineeringGeomorphologyLand UseLand CoverEarth Science +22

The Monitoring and Analysis of Land Subsidence in Kunming (China) Supported by Time Series InSAR

Bo Xiao, Junsan Zhao, Dongsheng Li, +3

Sustainability

Earth ObservationEnvironmental MonitoringEngineeringGeomorphologyLand Use +21

Combined SBAS-InSAR and PSO-RF Algorithm for Evaluating the Susceptibility Prediction of Landslide in Complex Mountainous Area: A Case Study of Ludian County, China

Bo Xiao, Junsan Zhao, Dongsheng Li, +4

Sensors

Rock SlideSusceptibility PredictionEngineeringRock SlopeGeomorphology +19

Study on the Relationship between Groundwater and Land Subsidence in Bangladesh Combining GRACE and InSAR

Liu Ouyang, Zhifang Zhao, Dingyi Zhou, +4

Remote Sensing

EngineeringLand UseLand DegradationChange AnalysisEarth Science +18

Characteristics of physical parameters and predictive modeling of mechanical properties in loess-like silty clay for engineering geology

Xianfeng Ma, Zhenghao Liu, Weida Wang, +4

Engineering Geology

Nickel Grade Inversion of Lateritic Nickel Ore Using WorldView-3 Data Incorporating Geospatial Location Information: A Case Study of North Konawe, Indonesia

Geng Zhang, Qi Chen, Zhifang Zhao, +7

Remote Sensing

Te-doped-WSe₂/W as a stable monolith catalyst for ampere-level current density hydrogen evolution reaction

Xingchen Zhang, Dongfang Zhang, Xinya Chen, +3

Physical Chemistry Chemical Physics

New method for landslide susceptibility evaluation in alpine valley regions that considers the suitability of InSAR monitoring and introduces deformation rate grading

Dingyi Zhou, Zhifang Zhao, Wenfei Xi, +2

Geo-spatial Information Science

The geological origins and soil properties of loess-like silty clay: a case study in the jinan area

Zhenghao Liu, Xianfeng Ma, Dingyi Zhou, +4

Scientific Reports

Landslide Susceptibility Assessment in Yulong County Using Contribution Degree Clustering Method and Stacking Ensemble Coupled Model Based on Certainty Factor

Yang Qin, Zhifang Zhao, Dingyi Zhou, +4

Remote Sensing