Aohua Tian
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View article: A Geographically Weighted Regression–Compute Unified Device Architecture Approach to Explore the Spatial Agglomeration and Heterogeneity in Arable Land Consumption in Southwest China
A Geographically Weighted Regression–Compute Unified Device Architecture Approach to Explore the Spatial Agglomeration and Heterogeneity in Arable Land Consumption in Southwest China Open
Arable land loss has become a critical issue in China because of rapid urbanization, industrial expansion, and unsustainable agricultural practices. While previous studies have explored the factors contributing to this loss, they often fal…
View article: Enhancement of land subsidence prediction capabilities using machine learning and SHAP value analysis with Sentinel-1 InSAR Data
Enhancement of land subsidence prediction capabilities using machine learning and SHAP value analysis with Sentinel-1 InSAR Data Open
Land subsidence has been a significant focus of geoscience studies, and researching the factors contributing to it and predicting future incidents is essential. However, current research requires a systematic and coherent strategy to ident…
View article: Optimization of land subsidence prediction features based on machine learning and SHAP value with Sentinel-1 InSAR Data
Optimization of land subsidence prediction features based on machine learning and SHAP value with Sentinel-1 InSAR Data Open
Land subsidence has always been a concern of geoscience, and exploring the factors affecting land subsidence to predict future land subsidence is essential research. However, current research rarely has a scientific and unified feature scr…
View article: A 3D Two-Phase Landslide Dynamical Model on GIS Platform
A 3D Two-Phase Landslide Dynamical Model on GIS Platform Open
The landslide dynamics model is one of the methods for evaluating landslide motion processes, contributing to disaster prevention and mitigation. With the advancement of science and technology, GIS has become the mainstream platform for la…
View article: Multi-scale spatiotemporal wetland loss and its critical influencing factors in China determined using innovative grid-based GWR
Multi-scale spatiotemporal wetland loss and its critical influencing factors in China determined using innovative grid-based GWR Open
Wetlands serve as a critical habitat for many plants and animals. However, with urban expansion and other processes, the wetlands in China are lost at an alarming rate in recent decades. This study quantifies the pace of wetland loss in th…
View article: Prediction of Multi-Scale Socioeconomic Parameters from Long-Term Nighttime Lights Satellite Data Using Decision Tree Regression: A Case Study of Chongqing, China
Prediction of Multi-Scale Socioeconomic Parameters from Long-Term Nighttime Lights Satellite Data Using Decision Tree Regression: A Case Study of Chongqing, China Open
The Defense Meteorological Satellite Program Operational Linescan System (DMSP/OLS) and the Suomi National Polar-Orbiting Partnership satellite’s Visible Infrared Imaging Radiometer Suite (NPP/VIIRS) nighttime light (NTL) data provide an a…
View article: Comparisons of Dynamic Landslide Models on GIS Platforms
Comparisons of Dynamic Landslide Models on GIS Platforms Open
Numerical simulation is one of the methods to assess landslide movement processes, which is beneficial for engineering design and urban planning. With the development of computer technology, GIS has gradually become the mainstream platform…