61 citations as recorded by crossref.

1. Extraction of landslide morphology based on Topographic Profile along the Direction of Slope Movement using UAV images Y. Zhang et al.
2. Failure Impact Assessment for Large-Scale Landslides Located Near Human Settlement: Case Study in Southern Taiwan M. Chung et al.
3. Landslides associated with recent road constructions in the Río Lucma catchment, eastern Cordillera Blanca, Peru A. EMMER et al.
4. Automated parameterisation for multi-scale image segmentation on multiple layers L. Drăguţ et al.
5. Automatic extraction of urban land information from unmanned aerial vehicle (UAV) data A. Shukla & K. Jain
6. Constructing a complete landslide inventory dataset for the 2018 monsoon disaster in Kerala, India, for land use change analysis L. Hao et al.
7. Combining spectral and geoenvironmental information for probabilistic event landslide mapping A. Mondini & K. Chang
8. Swin Transformer-Based Multiscale Attention Model for Landslide Extraction From Large-Scale Area M. Gao et al.
9. Landslide mapping using object-based image analysis and open source tools P. Amatya et al.
10. Mapping and monitoring geological hazards using optical, LiDAR, and synthetic aperture RADAR image data K. Joyce et al.
11. Spatial–Spectral Similarity Based on Adaptive Region for Landslide Inventory Mapping With Remote-Sensed Images Z. Lv et al.
12. Rockfall mapping and susceptibility evaluation based on UAV high-resolution imagery and support vector machine method L. Zhao et al.
13. Feature-Fusion Segmentation Network for Landslide Detection Using High-Resolution Remote Sensing Images and Digital Elevation Model Data X. Liu et al.
14. Use of Very High-Resolution Optical Data for Landslide Mapping and Susceptibility Analysis along the Karnali Highway, Nepal P. Amatya et al.
15. Triggering Rainfall of Large-Scale Landslides in Taiwan: Statistical Analysis of Satellite Imagery for Early Warning Systems T. Tsai et al.
16. RS analysis of glaciers change in the Heihe River Basin, Northwest China, during the recent decades B. Huai et al.
17. Assessing the transferability of a hybrid Taguchi-objective function method to optimize image segmentation for detecting and counting cave roosting birds using terrestrial laser scanning data M. Idrees et al.
18. Mapping forest-covered landslides using Geographic Object-Based Image Analysis (GEOBIA), Jena region, Germany I. Zangana et al.
19. Extraction of Landslide Information Based on Object-Oriented Approach and Cause Analysis in Shuicheng, China Y. Han et al.
20. Hierarchical extraction of landslides from multiresolution remotely sensed optical images C. Kurtz et al.
21. Geoscientists in the Sky: Unmanned Aerial Vehicles Responding to Geohazards R. Antoine et al.
22. Comparison of Earthquake-Triggered Landslide Inventories: A Case Study of the 2015 Gorkha Earthquake, Nepal S. Meena & S. Tavakkoli Piralilou
23. Regional‐Scale Landscape Response to an Extreme Precipitation Event From Repeat Lidar and Object‐Based Image Analysis S. DeLong et al.
24. Multi-scale landslide susceptibility analysis along a mountain highway in Central Taiwan K. Shou & J. Lin
25. A Whole Process Risk Management System for the Monitoring and Early Warning of Slope Hazards Affecting Gas and Oil Pipelines Y. Yan et al.
26. A comparative analysis of pixel- and object-based detection of landslides from very high-resolution images R. Keyport et al.
27. A Semi-Automated Object-Based Approach for Landslide Detection Validated by Persistent Scatterer Interferometry Measures and Landslide Inventories D. Hölbling et al.
28. Similarity Metrics Enforcement in Seasonal Agriculture Areas Classification M. Santos et al.
29. Loess Landslide Inventory Map Based on GF-1 Satellite Imagery W. Sun et al.
30. Narrow Band Vibration Measurement System With Electrodynamic Transducer Seismograph and Modeling Verification M. Md Yunus et al.
31. EARTHQUAKE-INDUCED BUILDING DETECTION BASED ON OBJECT-LEVEL TEXTURE FEATURE CHANGE DETECTION OF MULTI-TEMPORAL SAR IMAGES Q. Li et al.
32. Mapping and Analyzing the Evolution of the Butangbunasi Landslide Using Landsat Time Series with Respect to Heavy Rainfall Events during Typhoons D. Hölbling et al.
33. Object-Oriented Mapping as a Tool for the Assessment of Landslide Hazard in Higly Urbanized Areas F. Dramis et al.
34. Mapping of shallow landslides with object-based image analysis from unmanned aerial vehicle data R. Comert et al.
35. Object-Oriented Approach for Landslide Mapping Using Wavelet Transform Coupled with Machine Learning: A Case Study of Western Ghats, India H. Rana & G. Babu
36. Early Identifying and Monitoring Landslides in Guizhou Province with InSAR and Optical Remote Sensing G. Li et al.
37. An Iterative Classification and Semantic Segmentation Network for Old Landslide Detection Using High-Resolution Remote Sensing Images Z. Lu et al.
38. Landslide mapping from aerial photographs using change detection-based Markov random field Z. Li et al.
39. Natural hazard damage detection based on object-level support vector data description of optical and SAR Earth observations R. Shah-Hosseini et al.
40. Landslide Susceptibility Mapping Using Landslide Numerical Risk Factor Model and Landslide Inventory Prepared Through OBIA in Chenab Valley, Jammu and Kashmir (India) A. Patil et al.
41. Identification of geomorphological hazards in an underground coal mining area based on an improved region merging watershed algorithm M. Zhang et al.
42. LiDAR and Orthophoto Synergy to optimize Object-Based Landscape Change: Analysis of an Active Landslide M. Kamps et al.
43. Three-dimensional information extraction from GaoFen-1 satellite images for landslide monitoring S. Wang et al.
44. An object-based approach for semi-automated landslide change detection and attribution of changes to landslide classes in northern Taiwan D. Hölbling et al.
45. MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network for Relic Landslide Detection J. He et al.
46. Spatio-temporal landslide inventory and susceptibility assessment using Sentinel-2 in the Himalayan mountainous region of Pakistan A. Bacha et al.
47. Texton-Based Ensemble Classification of Landslide Source and Transport Areas in VHR Imagery M. Silveira et al.
48. Semiautomatic Object-Oriented Landslide Recognition Scheme From Multisensor Optical Imagery and DEM J. Rau et al.
49. Superpixel and Supervoxel Segmentation Assessment of Landslides Using UAV-Derived Models I. Farmakis et al.
50. Identifying Spatio-Temporal Landslide Hotspots on North Island, New Zealand, by Analyzing Historical and Recent Aerial Photography D. Hölbling et al.
51. Comparison of transit time models for exploring seasonal variation of preferential flow in a Moso bamboo watershed J. Gou et al.
52. Object-Based Analysis Using Unmanned Aerial Vehicles (UAVs) for Site-Specific Landslide Assessment E. Karantanellis et al.
53. A Semi-Automated Object-Based Gully Networks Detection Using Different Machine Learning Models: A Case Study of Bowen Catchment, Queensland, Australia H. Shahabi et al.
54. On the Importance of Train–Test Split Ratio of Datasets in Automatic Landslide Detection by Supervised Classification K. Pawluszek-Filipiak & A. Borkowski
55. Automatic identification of shallow landslides based on Worldview2 remote sensing images H. Ma et al.
56. Automated detection of landslide events from multi-source remote sensing imagery: Performance evaluation and analysis of YOLO algorithms N. Chandra & H. Vaidya
57. Semiautomated object-based classification of rain-induced landslides with VHR multispectral images on Madeira Island S. Heleno et al.
58. Landslide mapping and monitoring by using radar and optical remote sensing: Examples from the EC-FP7 project SAFER N. Casagli et al.
59. Comparing Manual and Semi-Automated Landslide Mapping Based on Optical Satellite Images from Different Sensors D. Hölbling et al.
60. A method aimed at automatic landslide extraction based on background values of satellite imagery S. Yang et al.
61. Attention-Enhanced Region Proposal Networks for Multi-Scale Landslide and Mudslide Detection from Optical Remote Sensing Images C. Niu et al.