Chuanfa Chen
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View article: Explainable artificial intelligence framework for urban global digital elevation model correction based on the SHapley additive explanation-random forest algorithm considering spatial heterogeneity and factor optimization
Explainable artificial intelligence framework for urban global digital elevation model correction based on the SHapley additive explanation-random forest algorithm considering spatial heterogeneity and factor optimization Open
Satellite global digital elevation models (GDEMs) suffer from positive biases in urban areas due to building artifacts. While various machine learning (ML)-based methods have been proposed to remove these biases, their generalizability is …
View article: Correction of global digital elevation models in forested areas using an artificial neural network-based method with the consideration of spatial autocorrelation
Correction of global digital elevation models in forested areas using an artificial neural network-based method with the consideration of spatial autocorrelation Open
To remove vegetation bias (VB) from the global DEMs (GDEMs), an artificial neural network (ANN)-based method with the consideration of elevation spatial autocorrelation is developed in this paper. Three study sites with different forest ty…
View article: Artificial Neural Network-Based Method for Correcting Global Digital Elevation Models in Vegetated Areas
Artificial Neural Network-Based Method for Correcting Global Digital Elevation Models in Vegetated Areas Open
View article: Easy-to-use spatial random-forest-based downscaling-calibration method for producing precipitation data with high resolution and high accuracy
Easy-to-use spatial random-forest-based downscaling-calibration method for producing precipitation data with high resolution and high accuracy Open
Precipitation data with high resolution and high accuracy are significantly important in numerous hydrological applications. To enhance the spatial resolution and accuracy of satellite-based precipitation products, an easy-to-use downscali…
View article: Comment on hess-2021-332
Comment on hess-2021-332 Open
Abstract. Precipitation data with high resolution and high accuracy are significantly important in numerous hydrological applications. To enhance the spatial resolution and accuracy of satellite-based precipitation product…
View article: Comment on hess-2021-332
Comment on hess-2021-332 Open
Abstract. Precipitation data with high resolution and high accuracy are significantly important in numerous hydrological applications. To enhance the spatial resolution and accuracy of satellite-based precipitation product…
View article: Performance Comparison of Filtering Algorithms for High-Density Airborne LiDAR Point Clouds over Complex LandScapes
Performance Comparison of Filtering Algorithms for High-Density Airborne LiDAR Point Clouds over Complex LandScapes Open
Airborne light detection and ranging (LiDAR) technology has become the mainstream data source in geosciences and environmental sciences. Point cloud filtering is a prerequisite for almost all LiDAR-based applications. However, it is challe…
View article: Easy-to-use spatial Random Forest-based downscaling-calibration method for producing high resolution and accurate precipitation data
Easy-to-use spatial Random Forest-based downscaling-calibration method for producing high resolution and accurate precipitation data Open
High resolution and accurate precipitation data is significantly important for numerous hydrological applications. To enhance the spatial resolution and accuracy of satellite-based precipitation products, an easy-to-use downscaling-calibra…
View article: Accuracy Assessment and Correction of SRTM DEM Using ICESat/GLAS Data under Data Coregistration
Accuracy Assessment and Correction of SRTM DEM Using ICESat/GLAS Data under Data Coregistration Open
Shuttle Radar Topography Mission (SRTM) digital elevation model (DEM) inherently suffers from various errors. Many previous works employed Geoscience Laser Altimeter System onboard the Ice, Cloud, and land Elevation Satellite (ICESat/GLAS)…
View article: Republished, corrected article.
Republished, corrected article. Open
View article: Correction: A fast and robust interpolation filter for airborne lidar point clouds
Correction: A fast and robust interpolation filter for airborne lidar point clouds Open
[This corrects the article DOI: 10.1371/journal.pone.0176954.].
View article: Originally published, uncorrected article.
Originally published, uncorrected article. Open
View article: Multi-Level Interpolation-Based Filter for Airborne LiDAR Point Clouds in Forested Areas
Multi-Level Interpolation-Based Filter for Airborne LiDAR Point Clouds in Forested Areas Open
Over the past decades, plenty of filtering algorithms have been presented to distinguish ground and non-ground points from airborne LiDAR point clouds. However, with the existing methods, it is difficult to derive satisfactory filtering re…
View article: A Fast Global Interpolation Method for Digital Terrain Model Generation from Large LiDAR-Derived Data
A Fast Global Interpolation Method for Digital Terrain Model Generation from Large LiDAR-Derived Data Open
Airborne light detection and ranging (LiDAR) datasets with a large volume pose a great challenge to the traditional interpolation methods for the production of digital terrain models (DTMs). Thus, a fast, global interpolation method based …
View article: Adaptive Denoising Approach for High-Rate GNSS Seismic Waveform Preservation: Application to the 2010 EI Mayor-Cucapah Earthquake and 2012 Brawley Seismic Swarm
Adaptive Denoising Approach for High-Rate GNSS Seismic Waveform Preservation: Application to the 2010 EI Mayor-Cucapah Earthquake and 2012 Brawley Seismic Swarm Open
The high noise levels of high-rate Global Navigation Satellite System (GNSS) solutions limit their seismological applications, including capturing earthquake-induced coseismic displacements. In this study, we developed a new adaptive denoi…
View article: Least Squares Compactly Supported Radial Basis Function for Digital Terrain Model Interpolation from Airborne Lidar Point Clouds
Least Squares Compactly Supported Radial Basis Function for Digital Terrain Model Interpolation from Airborne Lidar Point Clouds Open
To overcome the huge volume problem of light detection and ranging (LiDAR) data for the derivation of digital terrain models (DTMs), a least squares compactly supported radial basis function (CSRBF) interpolation method is proposed in this…
View article: Robust and Parameter-Free Algorithm for Constructing Pit-Free Canopy Height Models
Robust and Parameter-Free Algorithm for Constructing Pit-Free Canopy Height Models Open
Data pits commonly appear in lidar-derived canopy height models (CHMs) owing to the penetration ability of airborne light detection and ranging (lidar) into tree crowns. They have a seriously negative effect on the quality of tree detectio…
View article: Mapping temperature using a Bayesian statistical method and a high accuracy surface modelling method in the Beijing-Tianjin-Hebei region, China
Mapping temperature using a Bayesian statistical method and a high accuracy surface modelling method in the Beijing-Tianjin-Hebei region, China Open
A more accurate Bayesian statistical technique together with a high accuracy surface modelling method (HASM) was used to improve the accuracy of temperature fields in the Beijing–Tianjin–Hebei (BTH) region, China. Bayesian statistical infe…
View article: A fast and robust interpolation filter for airborne lidar point clouds
A fast and robust interpolation filter for airborne lidar point clouds Open
A fast and robust interpolation filter based on finite difference TPS has been proposed in this paper. The proposed method employs discrete cosine transform to efficiently solve the linear system of TPS equations in case of gridded data, a…
View article: Analysis of the Nonlinear Trends and Non-Stationary Oscillations of Regional Precipitation in Xinjiang, Northwestern China, Using Ensemble Empirical Mode Decomposition
Analysis of the Nonlinear Trends and Non-Stationary Oscillations of Regional Precipitation in Xinjiang, Northwestern China, Using Ensemble Empirical Mode Decomposition Open
Changes in precipitation could have crucial influences on the regional water resources in arid regions such as Xinjiang. It is necessary to understand the intrinsic multi-scale variations of precipitation in different parts of Xinjiang in …
View article: Risk Assessment of Regional Irrigation Water Demand and Supply in an Arid Inland River Basin of Northwestern China
Risk Assessment of Regional Irrigation Water Demand and Supply in an Arid Inland River Basin of Northwestern China Open
Irrigation water demand accounts for more than 95% of the total water use in the Kaidu-kongqi River Basin. Determination of the spatial and temporal trends in irrigation water demand is important for making sustainable and wise water manag…
View article: A Comparison of Methods for Solving High Accuracy Surface Modeling in DEM Construction
A Comparison of Methods for Solving High Accuracy Surface Modeling in DEM Construction Open
High accuracy surface modeling method (HASM) has the capacity of constructing a surface with a higher accuracy than classical methods. However, surface construction with HASM requires a large amount of computing time due to the intensive c…
View article: A comparison of two downscaling methods for precipitation in China
A comparison of two downscaling methods for precipitation in China Open
In most cases, climate change projections from General Circulation Models (GCM) and Regional Climate Models cannot be directly applied to climate change impact studies, and downscaling is, therefore, needed. A large number of statistical d…
View article: A Thin Plate Spline-Based Feature-Preserving Method for Reducing Elevation Points Derived from LiDAR
A Thin Plate Spline-Based Feature-Preserving Method for Reducing Elevation Points Derived from LiDAR Open
Light detection and ranging (LiDAR) technique is currently one of the most important tools for collecting elevation points with a high density in the context of digital elevation model (DEM) construction. However, the high density data alw…
View article: A review of recent developments in HASM
A review of recent developments in HASM Open
Ground observation is able to obtain highly accurate data with high temporal resolution at observation points, but these observation points are too sparsely to satisfy the application requirements at regional scale. Satellite remote sensin…
View article: A Robust Algorithm of Multiquadric Method Based on an Improved Huber Loss Function for Interpolating Remote-Sensing-Derived Elevation Data Sets
A Robust Algorithm of Multiquadric Method Based on an Improved Huber Loss Function for Interpolating Remote-Sensing-Derived Elevation Data Sets Open
Remote-sensing-derived elevation data sets often suffer from noise and outliers due to various reasons, such as the physical limitations of sensors, multiple reflectance, occlusions and low contrast of texture. Outliers generally have a se…
View article: Speeding up the high-accuracy surface modelling method with GPU
Speeding up the high-accuracy surface modelling method with GPU Open
In order to find a solution for accurate, topographic data-demanding applications, such as catchment hydrologic modeling and assessments of anthropic activities impact on environmental systems, high-accuracy surface modeling (HASM) method …