A deep learning-based framework for extracting spatial patterns of farmland shelterbelts in the three-north region of China using Sentinel-2 data.
Saved in:
| Title: | A deep learning-based framework for extracting spatial patterns of farmland shelterbelts in the three-north region of China using Sentinel-2 data. |
|---|---|
| Authors: | Ma, Hui1,2, Wu, Bingfang1,3, wubf@aircas.ac.cn, Tian, Fuyou1, tianfy@aircas.ac.cn, Zhao, Hang1,2, Li, Yifan1,4, Li, Mengxiao1,2, Zhang, Miao1,2, Wu, Hantian5, Zeng, Hongwei1,2, Zhu, Liang1 |
| Source: | Remote Sensing of Environment; Jan2026, Vol. 332, pN.PAG-N.PAG, 1p |
| Database: | Applied Science & Technology Source |
| ISSN: | 00344257 |
|---|---|
| DOI: | 10.1016/j.rse.2025.115095 |
