[HTML][HTML] Automatic identification of active landslides over wide areas from time-series InSAR measurements using Faster RCNN

J Cai, L Zhang, J Dong, J Guo, Y Wang… - International Journal of …, 2023 - Elsevier
With the combined effects of climate change and anthropogenic disturbance, landslide
hazards have progressively increased and emerged as one of the most significant natural …

[HTML][HTML] A hybrid ensemble-based deep-learning framework for landslide susceptibility map**

L Lv, T Chen, J Dou, A Plaza - … Journal of Applied Earth Observation and …, 2022 - Elsevier
Landslides are highly hazardous geological disasters that can potentially threaten the safety
of human life and property. As a result, landslide susceptibility map** (LSM) plays an …

Landslide4sense: Reference benchmark data and deep learning models for landslide detection

O Ghorbanzadeh, Y Xu, P Ghamisi, M Kopp… - ar** employing CNN, ResNet, and DenseNet in the three gorges reservoir, China
T Liu, T Chen, R Niu, A Plaza - IEEE Journal of Selected Topics …, 2021 - ieeexplore.ieee.org
Landslide detection map** (LDM) is the basis of the field of landslide disaster prevention;
however, it has faced certain difficulties. The Three Gorges Reservoir area of the Yangtze …

RSEIFE: A new remote sensing ecological index for simulating the land surface eco-environment

Z Wang, T Chen, D Zhu, K Jia, A Plaza - Journal of Environmental …, 2023 - Elsevier
With the development of remote sensing technology, significant progress has been made in
the evaluation of the eco-environment. The remote sensing ecological index (RSEI) is one of …

ShapeFormer: a shape-enhanced vision transformer model for optical remote sensing image landslide detection

P Lv, L Ma, Q Li, F Du - IEEE Journal of Selected Topics in …, 2023 - ieeexplore.ieee.org
Landslides pose a serious threat to human life, safety, and natural resources. Remote
sensing images can be used to effectively monitor landslides at a large scale, which is of …