Machine Learning-Enhanced River Ice Identification in the Complex Tibetan Plateau
Accurate remote sensing identification of river ice not only provides scientific evidence for climate change but also offers early warning information for disasters such as ice jams. Currently, many researchers have used remote sensing index-based methods to identify river ice in alpine regions. How...
Saved in:
| Main Authors: | Xin Pang, Hongyi Li, Hongrui Ren, Yaru Yang, Qin Zhao, Yiwei Liu, Xiaohua Hao, Liting Niu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/17/11/1889 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Let It Snow: Intercomparison of Various Total and Snow Precipitation Data over the Tibetan Plateau
by: Christine Kolbe, et al.
Published: (2024-09-01) -
Accuracy Assessment of NOAA IMS 4 km Products on the Tibetan Plateau with Landsat-8 OLI Images
by: Duo Chu
Published: (2024-10-01) -
Investigation of the Spatiotemporal Patterns in Water Surface Temperature from Landsat Data in Plateau Rivers
by: Youyuan Wang, et al.
Published: (2025-03-01) -
Accelerated River Meander Migration on the Tibetan Plateau Caused by Permafrost Thaw
by: Anmeng Sha, et al.
Published: (2025-01-01) -
Connecting Tibetan Plateau Snow Change With Arctic Sea‐Ice
by: Chao Zhang, et al.
Published: (2025-07-01)