33 citations as recorded by crossref.

1. Using high-resolution satellite imagery to provide a relief priority map after earthquake H. Ranjbar et al.
2. Automatic detection of seismic damages from very high monoscopic spatial images M. Bensaibi et al.
3. Tracking surface and subsurface deformation associated with groundwater dynamics following the 2019 Mirpur earthquake M. Khan et al.
4. Earthquake building damage classification based on full suite of Sentinel-1 features X. Lv et al.
5. On the Generalization Ability of a Global Model for Rapid Building Mapping from Heterogeneous Satellite Images of Multiple Natural Disaster Scenarios Y. Hu & H. Tang
6. Building-damage detection using pre- and post-seismic high-resolution satellite stereo imagery: A case study of the May 2008 Wenchuan earthquake X. Tong et al.
7. High-resolution landslide mapping and susceptibility assessment: Landslide temporal variations and vegetation recovery M. Ali et al.
8. A review of landslides related to the 2005 Kashmir Earthquake: implication and future challenges M. Basharat et al.
9. Earthquake Damage Visualization (EDV) Technique for the Rapid Detection of Earthquake-Induced Damages Using SAR Data R. Sharma et al.
10. Earthquake-induced damage scenario simulation S. Sharma & B. Rastogi
11. A Soft Computing Method for Damage Mapping Using VHR Optical Satellite Imagery B. Mansouri & Y. Hamednia
12. Anomalous co-seismic surface effects produced by the 2014 Mw 6.2 Ludian earthquake, Yunnan, China: An example of complex faulting related to Riedel shear structures J. Luo et al.
13. Estimating earthquake-damage areas using Landsat-8 OLI surface reflectance data X. Fan et al.
14. Extraction of Earthquake-Induced Collapsed Buildings From Bi-Temporal VHR Images Using Object-Level Homogeneity Index and Histogram J. Liu & P. Li
15. Semiautomated object-based classification of rain-induced landslides with VHR multispectral images on Madeira Island S. Heleno et al.
16. An approach for detection of buildings and changes in buildings using orthophotos and point clouds: A case study of Van Erriş earthquake G. Sarp et al.
17. Transfer Learning for Improving Seismic Building Damage Assessment Q. Lin et al.
18. The 2011 Tohoku (Japan) Tsunami Inundation and Liquefaction Investigated Through Optical, Thermal, and SAR Data M. Chini et al.
19. A comprehensive review of earthquake-induced building damage detection with remote sensing techniques L. Dong & J. Shan
20. Machine learning in earthquake- and typhoon-triggered landslide susceptibility mapping and critical factor identification M. Ali et al.
21. Revolutionizing building damage detection: A novel weakly supervised approach using high-resolution remote sensing images W. Qiao et al.
22. Segment-by-segment comparison technique for earthquake-induced building damage map generation using satellite imagery N. Khodaverdizahraee et al.
23. A review of the 2005 Kashmir earthquake-induced landslides; from a remote sensing prospective M. Shafique et al.
24. A Precision Efficient Method for Collapsed Building Detection in Post-Earthquake UAV Images Based on the Improved NMS Algorithm and Faster R-CNN J. Ding et al.
25. Earthquake damage mapping: An overall assessment of ground surveys and VHR image change detection after L'Aquila 2009 earthquake R. Anniballe et al.
26. Classification of Building Damage Triggered by Earthquakes Using Decision Tree S. Li & H. Tang
27. A Comprehensive Review of Geospatial Technology Applications in Earthquake Preparedness, Emergency Management, and Damage Assessment M. Shafapourtehrany et al.
28. Damage and geological assessment of the 18 September 2011 Mw 6.9 earthquake in Sikkim, India using very high resolution satellite data T. Martha et al.
29. Geotechnical investigation and landslide susceptibility assessment along the Neelum road: a case study from Lesser Himalayas, Pakistan K. Ahmed et al.
30. Scale Object Selection (SOS) through a hierarchical segmentation by a multi-spectral per-pixel classification M. Chini et al.
31. A 3D Shape Descriptor Based on Contour Clusters for Damaged Roof Detection Using Airborne LiDAR Point Clouds M. He et al.
32. Spaceborne, UAV and ground-based remote sensing techniques for landslide mapping, monitoring and early warning N. Casagli et al.
33. Incorporating multi-source remote sensing in the detection of earthquake-damaged buildings based on logistic regression modelling Q. Li et al.