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Correction

Correction

This article refers to:
The application of ResU-net and OBIA for landslide detection from multi-temporal Sentinel-2 images

Article title: The Application of ResU-Net and OBIA for Landslide Detection from Multi-Temporal Sentinel-2 Images

Authors: Omid Ghorbanzadeh, Khalil Gholamnia and Pedram Ghamisi

Journal: Big Earth Data

DOI: https://doi.org/10.1080/20964471.2022.2031544

When this article was initially published online, there were errors in and . However, these mistakes have been rectified in the original article, which is provided below. Furthermore, certain duplicated texts in the article have been addressed and corrected.

Figure 3. The general schema of the proposed integrated approach.

Figure 3. The general schema of the proposed integrated approach.

Figure 5. Left, the architecture of the applied ResU-Net in this study. Right, the resulting landslide probability map from the applied ResU-Net. Pixel values closer to 1 represent a higher probability of the landslide class (A and B refer to two enlarged areas).

Figure 5. Left, the architecture of the applied ResU-Net in this study. Right, the resulting landslide probability map from the applied ResU-Net. Pixel values closer to 1 represent a higher probability of the landslide class (A and B refer to two enlarged areas).