Landslide Susceptibility Mapping Using an Image–Tabular Joint Deep Learning Framework: A Case Study of the Tacheng Region, Xinjiang, China
- DOI
- 10.3390/rs18152436
- Published
- 2026-07-23
- Container
- Remote Sensing
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/rs18152436,
title = {Landslide Susceptibility Mapping Using an Image–Tabular Joint Deep Learning Framework: A Case Study of the Tacheng Region, Xinjiang, China},
author = {Qianjie Deng and Dingfan Xing and Xiong Wu and Lirui Song and Zhuoer Teng and Rui Wang and Shichen Gao and Zhiwu Zhang and Kun-Feng Qiu},
year = {2026},
journal = {Remote Sensing},
doi = {10.3390/rs18152436},
url = {https://doi.org/10.3390/rs18152436}
}RIS
TY - JOUR TI - Landslide Susceptibility Mapping Using an Image–Tabular Joint Deep Learning Framework: A Case Study of the Tacheng Region, Xinjiang, China AU - Qianjie Deng AU - Dingfan Xing AU - Xiong Wu AU - Lirui Song AU - Zhuoer Teng AU - Rui Wang AU - Shichen Gao AU - Zhiwu Zhang AU - Kun-Feng Qiu PY - 2026 JO - Remote Sensing DO - 10.3390/rs18152436 UR - https://doi.org/10.3390/rs18152436 ER -
APA
Deng, Q., Xing, D., Wu, X., Song, L., Teng, Z., Wang, R., Gao, S., Zhang, Z., & Qiu, K. (2026). Landslide Susceptibility Mapping Using an Image–Tabular Joint Deep Learning Framework: A Case Study of the Tacheng Region, Xinjiang, China. Remote Sensing. https://doi.org/10.3390/rs18152436
Source records
- crossref · retrieved 2026-09-26T22:31:39.771Z