Guojin He
Biographic Data
| ID | 7920037 |
|---|---|
| NAME | Guojin He |
| GIVEN NAMES | Guojin |
| FAMILY NAME | He |
| SIGNATURE | HE G |
| AFFILIATIONS | Chinese Academy of Sciences |
| ORCID | 0000-0001-7225-7276 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Fairly assessing nighttime urban cooling performance with a novel satellite-based index
Quantitative analyses of multidimensional ecological impacts of Talatan photovoltaic power plant on desert ecosystems in Northwestern China
Globally, solar energy has supplanted fossil fuels as the predominant source of clean energy. Scholars have been calling for techno-ecological synergies that minimizing unintended environmental consequences; however, empirical evidence is largely missing in the existing literature. Taking the world’s largest photovoltaic (PV) power plant as a demonstration, combining remote sensing images with field data, we actively used the spatiotemporal dynam…
Modelling the Public Perception of Urban Public Space Lighting Based on SDGSAT-1 Glimmer Imagery
Comparison of Machine Learning Methods for Potential Active Landslide Hazards Identification with Multi-Source Data
The early identification of potential landslide hazards is of great practical significance for disaster early warning and prevention. The study used different machine learning methods to identify potential active landslides along a 15 km buffer zone on both sides of Jinsha River (Panzhihua-Huize section), China. The morphology and texture features of landslides were characterized with InSAR deformation monitoring data and high-resolution optical …
Dramatic mariculture expansion and associated driving factors in Southeastern China
Mariculture has a profound potential to meet the escalating demand for food. However, so far the understandings of spatiotemporal dynamics of mariculture and indicators of underlying mechanisms are altogether missing in the existing literature. Using high-resolution satellite images, here we provide a first ever detailed analysis to map the spatiotemporal dynamics and explore associated driving factors of mariculture expansion in Southeastern Chi…
A Multi-Scale Water Extraction Convolutional Neural Network (MWEN) Method for GaoFen-1 Remote Sensing Images
Automatic water body extraction method is important for monitoring floods, droughts, and water resources. In this study, a new semantic segmentation convolutional neural network named the multi-scale water extraction convolutional neural network (MWEN) is proposed to automatically extract water bodies from GaoFen-1 (GF-1) remote sensing images. Three convolutional neural networks for semantic segmentation (fully convolutional network (FCN), Unet,…
Investigating the Spatiotemporal Variability and Driving Factors of Artificial Lighting in the Beijing-Tianjin-Hebei Region Using Remote Sensing Imagery and Socioeconomic Data
With rapid urbanization and economic development, artificial lighting at night brings convenience to human life but also causes a considerable urban environmental pollution issue. This study employed the Mann-Kendall non-parametric test, nighttime light indices, and the standard deviation method to investigate the spatio-temporal characteristics of artificial lighting in the Beijing-Tianjin-Hebei region. Moreover, nighttime light imagery from the…
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Investigating the Spatiotemporal Variability and Driving Factors of Artificial Lighting in the Beijing-Tianjin-Hebei Region Using Remote Sensing Imagery and Socioeconomic Data
With rapid urbanization and economic development, artificial lighting at night brings convenience to human life but also causes a considerable urban environmental pollution issue. This study employed the Mann-Kendall non-parametric test, nighttime light indices, and the standard deviation method to investigate the spatio-temporal characteristics of artificial lighting in the Beijing-Tianjin-Hebei region. Moreover, nighttime light imagery from the…
A Multi-Scale Water Extraction Convolutional Neural Network (MWEN) Method for GaoFen-1 Remote Sensing Images
Automatic water body extraction method is important for monitoring floods, droughts, and water resources. In this study, a new semantic segmentation convolutional neural network named the multi-scale water extraction convolutional neural network (MWEN) is proposed to automatically extract water bodies from GaoFen-1 (GF-1) remote sensing images. Three convolutional neural networks for semantic segmentation (fully convolutional network (FCN), Unet,…
Comparison of Machine Learning Methods for Potential Active Landslide Hazards Identification with Multi-Source Data
The early identification of potential landslide hazards is of great practical significance for disaster early warning and prevention. The study used different machine learning methods to identify potential active landslides along a 15 km buffer zone on both sides of Jinsha River (Panzhihua-Huize section), China. The morphology and texture features of landslides were characterized with InSAR deformation monitoring data and high-resolution optical …
Dramatic mariculture expansion and associated driving factors in Southeastern China
Mariculture has a profound potential to meet the escalating demand for food. However, so far the understandings of spatiotemporal dynamics of mariculture and indicators of underlying mechanisms are altogether missing in the existing literature. Using high-resolution satellite images, here we provide a first ever detailed analysis to map the spatiotemporal dynamics and explore associated driving factors of mariculture expansion in Southeastern Chi…
Modelling the Public Perception of Urban Public Space Lighting Based on SDGSAT-1 Glimmer Imagery
Quantitative analyses of multidimensional ecological impacts of Talatan photovoltaic power plant on desert ecosystems in Northwestern China
Globally, solar energy has supplanted fossil fuels as the predominant source of clean energy. Scholars have been calling for techno-ecological synergies that minimizing unintended environmental consequences; however, empirical evidence is largely missing in the existing literature. Taking the world’s largest photovoltaic (PV) power plant as a demonstration, combining remote sensing images with field data, we actively used the spatiotemporal dynam…
Fairly assessing nighttime urban cooling performance with a novel satellite-based index
Environmental Science (5 works) · Geography (5 works) · China (4 works) · Remote sensing (4 works) · Computer Science (3 works) · Ecology (3 works) · Impact of Light on Environment and Health (3 works) · Urban Heat Island Mitigation (3 works) · Artificial Intelligence (2 works) · Beijing (2 works)