Spatiotemporal Dynamics and Drivers of Potential Winter Ice Resources in China (1990-2020) Using Multi-Source Remote Sensing and Machine Learning
文献类型：期刊论文
| 作者 | Shi, Donghui |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2026-01-13 |
| 卷号 | 18期号:2页码:250 |
| 关键词 | river and lake ice potential winter ice area spatiotemporal pattern freezing-zone boundary shift random forest climate change |
| DOI | 10.3390/rs18020250 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | River and lake ice are sensitive indicators of climate change and important components of hydrological and ecological systems in cold regions. In this study, we develop a simple and transferable surface water + land surface temperature (LST) framework on Google Earth Engine to map potential winter ice area across China from 1990 to 2020. The framework enables consistent, large-scale, long-term monitoring without relying on complex remote sensing models or region-specific thresholds. Our results show that, despite a pronounced northwestward shift in the freezing-zone boundary, more than 400 km in the Northeast Plain and about 13 km per year along the eastern coast, the total ice-covered area increased by approximately 1.1% per year. At the same time, the average ice season became slightly shorter. This indicates asynchronous spatial and temporal responses of potential winter ice to warming. We identify a persistent Northwest-Northeast dual-core spatial pattern with strong positive spatial autocorrelation, characterized by increasing ice cover in Tibet, Qinghai, Xinjiang, Inner Mongolia, and Northeast China, and decreasing ice cover mainly in Beijing and Yunnan, where intense urbanization and low-latitude warming dominate. Random Forest modeling further shows that water area fraction, nighttime lights, built-up area, altitude, and water-heat indices are the main controls on potential winter ice. These findings highlight the combined influence of hydrological and thermal conditions and urbanization in reshaping potential winter ice patterns under climate change. |
| URL标识 | 查看原文 |
| WOS关键词 | LAKE ICE ; NORTHERN-HEMISPHERE ; ARCTIC RIVER ; PHENOLOGY ; SAR ; THICKNESS ; IMPACTS ; FUTURE ; GROWTH ; REGION |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001672752900001 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221044]  |
| 专题 | 资源利用与环境修复重点实验室_外文论文 |
| 通讯作者 | Shi, Donghui |
| 作者单位 | Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Shi, Donghui. Spatiotemporal Dynamics and Drivers of Potential Winter Ice Resources in China (1990-2020) Using Multi-Source Remote Sensing and Machine Learning[J]. REMOTE SENSING,2026,18(2):250. |
| APA | Shi, Donghui.(2026).Spatiotemporal Dynamics and Drivers of Potential Winter Ice Resources in China (1990-2020) Using Multi-Source Remote Sensing and Machine Learning.REMOTE SENSING,18(2),250. |
| MLA | Shi, Donghui."Spatiotemporal Dynamics and Drivers of Potential Winter Ice Resources in China (1990-2020) Using Multi-Source Remote Sensing and Machine Learning".REMOTE SENSING 18.2(2026):250. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。