12 Dec 2025
| 12 Dec 2025
Geographic Spatial Cognition Differences in Virtual Reality Environments
Shiyuan Cheng
College of Remote Sensing and Geoinformatics Engineering，Faculty of Geographical Science and Engineering, Henan University, Zhengzhou, China
Henan Industrial Technology Academy of Spatiotemporal Big Data (Henan University), Zhengzhou, China
Jiayao Wang
College of Remote Sensing and Geoinformatics Engineering，Faculty of Geographical Science and Engineering, Henan University, Zhengzhou, China
Henan Industrial Technology Academy of Spatiotemporal Big Data (Henan University), Zhengzhou, China
Jiping Liu
Chinese Academy of Surveying and Mapping, Beijing, China
Guangxia Wang
College of Remote Sensing and Geoinformatics Engineering，Faculty of Geographical Science and Engineering, Henan University, Zhengzhou, China
Henan Industrial Technology Academy of Spatiotemporal Big Data (Henan University), Zhengzhou, China
Jianchen Zhang
College of Remote Sensing and Geoinformatics Engineering，Faculty of Geographical Science and Engineering, Henan University, Zhengzhou, China
Henan Industrial Technology Academy of Spatiotemporal Big Data (Henan University), Zhengzhou, China
Siqi Xiong
College of Remote Sensing and Geoinformatics Engineering，Faculty of Geographical Science and Engineering, Henan University, Zhengzhou, China
Henan Industrial Technology Academy of Spatiotemporal Big Data (Henan University), Zhengzhou, China
Yunbo Li
College of Remote Sensing and Geoinformatics Engineering，Faculty of Geographical Science and Engineering, Henan University, Zhengzhou, China
Henan Industrial Technology Academy of Spatiotemporal Big Data (Henan University), Zhengzhou, China
Weiguo Fu
College of Remote Sensing and Geoinformatics Engineering，Faculty of Geographical Science and Engineering, Henan University, Zhengzhou, China
Henan Industrial Technology Academy of Spatiotemporal Big Data (Henan University), Zhengzhou, China
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Short summary
Short summary
This study examines the properties of dust in snow in Changchun, China, using advanced technology to analyze its size, shape, and light absorption. We found that dust composition affects how much heat is absorbed by snow, with certain minerals, such as hematite, making snowmelt faster. Our research highlights the importance of creating clear standards for classifying dust, which could improve climate models and field observations. This work helps better understand dust's role in climate change.
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