Xiaohua Tong
Dados Biográficos
| ID | 6311462 |
|---|---|
| NOME | Xiaohua Tong |
| PRENOMES | Xiaohua |
| SOBRENOME | Tong |
| ASSINATURA | TONG X |
| AFILIAÇÕES | Tongji University |
| ORCID | 0000-0002-1045-3797 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 11 |
| TOTAL DE CITAÇÕES | 5 |
| TOTAL COMO AUTOR | 11 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2015 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2022 |
| ÍNDICE H | 1 |
Assessing Multi-Temporal Global Urban Land-Cover Products Using Spatio-Temporal Stratified Sampling
In recent years, the availability of multi-temporal global land-cover datasets has meant that they have become a key data source for evaluating land cover in many applications. Due to the high data volume of the multi-temporal land-cover datasets, probability sampling is an efficient method for validating multi-temporal global urban land-cover maps. However, the current accuracy assessment methods often work for a single-epoch dataset, and they a…
Firefly algorithm-based cellular automata for reproducing urban growth and predicting future scenarios
Global assessment of urban trees’ cooling efficiency based on satellite observations
Trees are among the most important urban land covers, and their effects on local thermal environments have been extensively evaluated by using the concept of urban trees’ cooling efficiency (CE), defined as the magnitude of land surface temperature (LST) reduction by per 1% increase in fractional tree cover (FTC). Existing studies provide quantitative knowledge of the CE at local and regional scales, but global-scale analyses are still lacking. T…
Improved A-Star Algorithm for Long-Distance Off-Road Path Planning Using Terrain Data Map
To overcome the limitation of poor processing times for long-distance off-road path planning, an improved A-Star algorithm based on terrain data is proposed in this study. The improved A-Star algorithm for long-distance off-road path planning tasks was developed to identify a feasible path between the start and destination based on a terrain data map generated using a digital elevation model. This study optimised the algorithm in two aspects: dat…
Mapping essential urban land use categories in China (Euluc-China)
Lasdu
The semantic labeling of the urban area is an essential but challenging task for a wide variety of applications such as mapping, navigation, and monitoring. The rapid advance in Light Detection and Ranging (LiDAR) systems provides this task with a possible solution using 3D point clouds, which are accessible, affordable, accurate, and applicable. Among all types of platforms, the airborne platform with LiDAR can serve as an efficient and effectiv…
An Approach for Filter Divergence Suppression in a Sequential Data Assimilation System and Its Application in Short-Term Traffic Flow Forecasting
Mathematically describing the physical process of a sequential data assimilation system perfectly is difficult and inevitably results in errors in the assimilation model. Filter divergence is a common phenomenon because of model inaccuracies and affects the quality of the assimilation results in sequential data assimilation systems. In this study, an approach based on an L1-norm constraint for filter-divergence suppression in sequential data assi…
Modeling urban growth using spatially heterogeneous cellular automata models
Air pollution-induced missed abortion risk for pregnancies
How current and future urban patterns respond to urban planning? An integrated cellular automata modeling approach
Global land cover mapping at 30 m resolution
Global Land Cover (GLC) information is fundamental for environmental change studies, land resource management, sustainable development, and many other societal benefits. Although GLC data exists at spatial resolutions of 300 m and 1000 m, a 30 m resolution mapping approach is now a feasible option for the next generation of GLC products. Since most significant human impacts on the land system can be captured at this scale, a number of researchers…
Global land cover mapping at 30 m resolution
Global Land Cover (GLC) information is fundamental for environmental change studies, land resource management, sustainable development, and many other societal benefits. Although GLC data exists at spatial resolutions of 300 m and 1000 m, a 30 m resolution mapping approach is now a feasible option for the next generation of GLC products. Since most significant human impacts on the land system can be captured at this scale, a number of researchers…
Air pollution-induced missed abortion risk for pregnancies
How current and future urban patterns respond to urban planning? An integrated cellular automata modeling approach
Mapping essential urban land use categories in China (Euluc-China)
Lasdu
The semantic labeling of the urban area is an essential but challenging task for a wide variety of applications such as mapping, navigation, and monitoring. The rapid advance in Light Detection and Ranging (LiDAR) systems provides this task with a possible solution using 3D point clouds, which are accessible, affordable, accurate, and applicable. Among all types of platforms, the airborne platform with LiDAR can serve as an efficient and effectiv…
An Approach for Filter Divergence Suppression in a Sequential Data Assimilation System and Its Application in Short-Term Traffic Flow Forecasting
Mathematically describing the physical process of a sequential data assimilation system perfectly is difficult and inevitably results in errors in the assimilation model. Filter divergence is a common phenomenon because of model inaccuracies and affects the quality of the assimilation results in sequential data assimilation systems. In this study, an approach based on an L1-norm constraint for filter-divergence suppression in sequential data assi…
Modeling urban growth using spatially heterogeneous cellular automata models
Improved A-Star Algorithm for Long-Distance Off-Road Path Planning Using Terrain Data Map
To overcome the limitation of poor processing times for long-distance off-road path planning, an improved A-Star algorithm based on terrain data is proposed in this study. The improved A-Star algorithm for long-distance off-road path planning tasks was developed to identify a feasible path between the start and destination based on a terrain data map generated using a digital elevation model. This study optimised the algorithm in two aspects: dat…
Assessing Multi-Temporal Global Urban Land-Cover Products Using Spatio-Temporal Stratified Sampling
In recent years, the availability of multi-temporal global land-cover datasets has meant that they have become a key data source for evaluating land cover in many applications. Due to the high data volume of the multi-temporal land-cover datasets, probability sampling is an efficient method for validating multi-temporal global urban land-cover maps. However, the current accuracy assessment methods often work for a single-epoch dataset, and they a…
Firefly algorithm-based cellular automata for reproducing urban growth and predicting future scenarios
Global assessment of urban trees’ cooling efficiency based on satellite observations
Trees are among the most important urban land covers, and their effects on local thermal environments have been extensively evaluated by using the concept of urban trees’ cooling efficiency (CE), defined as the magnitude of land surface temperature (LST) reduction by per 1% increase in fractional tree cover (FTC). Existing studies provide quantitative knowledge of the CE at local and regional scales, but global-scale analyses are still lacking. T…
Geography (11 obras) · Computer Science (8 obras) · Cartography (6 obras) · Land Use and Ecosystem Services (6 obras) · Artificial Intelligence (5 obras) · Land use (5 obras) · Mathematics (5 obras) · Algorithm (4 obras) · Environmental Science (4 obras) · Cellular automaton (3 obras)