|
|
|
|
|
Shihao Ma, Jiao Wu, Zhijun Zhang and Yala Tong
Addressing the limitations, including low automation, slow recognition speed, and limited universality, of current mudslide disaster detection techniques in remote sensing imagery, this study employs deep learning methods for enhanced mudslide disaster d...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hui Li, Xueshan Bai, Xing Zhai, Jianqing Zhao, Xiaolong Zhu, Chenxi Li, Kehui Liu and Qizhi Wang
Mountain mudslides have emerged as one of the main geological dangers in the Yanshan region of China as a result of excessive rains. In light of this, a multi-step debris flow hazard assessment method combining optimal weights and a topological object me...
ver más
|
|
|
|
|
|
|
|
|
|
|
Grigory Dolgikh, Yuri Morgunov, Alexander Burenin, Vladimir Bezotvetnykh, Vladimir Luchin, Aleksandr Golov and Alexander Tagiltsev
The methodological and technical possibilities of monitoring temperature fields in the Sea of Japan by acoustic thermometry methods are presented. The proposed tomographic method for monitoring the dynamics and structure of water is based on the transmis...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tso-Ren Wu, Thi-Hong-Nhi Vuong, Chun-Wei Lin, Chun-Yu Wang and Chia-Ren Chu
This paper aims to develop a landslide model to simulate slump-type landslide tsunamis. The modified Bi-viscous model can be used to simulate the landslide movements in both the in-land area and ocean area. The model is able to describe the developments ...
ver más
|
|
|
|
|
|