The Outcome of the 2022 Landslide4Sense Competition: Advanced Landslide Detection from Multi-Source Satellite Imagery

no code implementations • 6 Sep 2022 • Omid Ghorbanzadeh, Yonghao Xu, Hengwei Zhao, Junjue Wang, Yanfei Zhong, Dong Zhao, Qi Zang, Shuang Wang, Fahong Zhang, Yilei Shi, Xiao Xiang Zhu, Lin Bai, Weile Li, Weihang Peng, Pedram Ghamisi

The objective of the competition is to automatically detect landslides based on large-scale multiple sources of satellite imagery collected globally.

Data Augmentation Semantic Segmentation

Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection

no code implementations • 1 Jun 2022 • Omid Ghorbanzadeh, Yonghao Xu, Pedram Ghamisi, Michael Kopp, David Kreil

We make the multi-source landslide benchmark data (Landslide4Sense) and the tested DL models publicly available at \url{https://www. iarai. ac. at/landslide4sense}, establishing an important resource for remote sensing, computer vision, and machine learning communities in studies of image classification in general and applications to landslide detection in particular.

Image Classification