51 citations as recorded by crossref.

1. Effective surveyed area and its role in statistical landslide susceptibility assessments T. Bornaetxea et al. 10.5194/nhess-18-2455-2018
2. Derivation of Three-Dimensional Displacement Vectors from Multi-Temporal Long-Range Terrestrial Laser Scanning at the Reissenschuh Landslide (Tyrol, Austria) J. Pfeiffer et al. 10.3390/rs10111688
3. Landslide Recognition by Deep Convolutional Neural Network and Change Detection W. Shi et al. 10.1109/TGRS.2020.3015826
4. Sentinel-1 SAR Amplitude Imagery for Rapid Landslide Detection A. Mondini et al. 10.3390/rs11070760
5. Standards for shallow landslide identification in Brazil: Spatial trends and inventory mapping H. Dias & C. Grohmann 10.1016/j.jsames.2024.104805
6. Remote Sensing-Based 3D Assessment of Landslides: A Review of the Data, Methods, and Applications H. Albanwan et al. 10.3390/rs16030455
7. The use of unmanned aerial vehicles (UAVs) for engineering geology applications D. Giordan et al. 10.1007/s10064-020-01766-2
8. Spatial estimate of ecological and environmental damage in an underground coal mining area on the Loess Plateau: Implications for planning restoration interventions H. Hou et al. 10.1016/j.jclepro.2020.125061
9. Exploring available landslide inventories for susceptibility analysis in Gipuzkoa province (Spain) T. Bornaetxea et al. 10.1007/s11069-023-06103-w
10. Rainfall-induced transportation embankment failure: A review X. Linrong et al. 10.1515/geo-2022-0558
11. Identifying Potential Landslides on Giant Niexia Slope (China) Based on Integrated Multi-Remote Sensing Technologies X. Dong et al. 10.3390/rs14246328
12. Landslide-Induced Damage Probability Estimation Coupling InSAR and Field Survey Data by Fragility Curves M. Del Soldato et al. 10.3390/rs11121486
13. Regional susceptibility assessments with heterogeneous landslide information: Slope unit- vs. pixel-based approach L. Jacobs et al. 10.1016/j.geomorph.2020.107084
14. The Use of Innovative Techniques for Management of High-Risk Coastal Areas, Mitigation of Earthquake-Triggered Landslide Risk and Responsible Coastal Development S. Mavroulis et al. 10.3390/app12042193
15. 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. 10.3390/app10020630
16. Landslide Detection Using a Saliency Feature Enhancement Technique From LiDAR-Derived DEM and Orthophotos B. Pradhan et al. 10.1109/ACCESS.2020.3006914
17. Geomorphologic landslide inventory by air photo interpretation of the High Agri Valley (Southern Italy) F. Bucci et al. 10.1080/17445647.2021.1943552
18. Structure from Motion Multisource Application for Landslide Characterization and Monitoring: The Champlas du Col Case Study, Sestriere, North-Western Italy M. Cignetti et al. 10.3390/s19102364
19. Low cost, multiscale and multi-sensor application for flooded area mapping D. Giordan et al. 10.5194/nhess-18-1493-2018
20. Landslide susceptibility assessment based on an incomplete landslide inventory in the Jilong Valley, Tibet, Chinese Himalayas J. Du et al. 10.1016/j.enggeo.2020.105572
21. UAV and Airborne LiDAR Data for Interpreting Kinematic Evolution of Landslide Movements: The Case Study of the Montescaglioso Landslide (Southern Italy) R. Pellicani et al. 10.3390/geosciences9060248
22. Review article: the use of remotely piloted aircraft systems (RPASs) for natural hazards monitoring and management D. Giordan et al. 10.5194/nhess-18-1079-2018
23. ShapeFormer: A Shape-Enhanced Vision Transformer Model for Optical Remote Sensing Image Landslide Detection P. Lv et al. 10.1109/JSTARS.2023.3253769
24. Geomorphological landslide inventory map of the Daunia Apennines, southern Italy F. Ardizzone et al. 10.5194/essd-15-753-2023
25. Topography-driven satellite imagery analysis for landslide mapping M. Alvioli et al. 10.1080/19475705.2018.1458050
26. The (f)utility to account for pre-failure topography in data-driven landslide susceptibility modelling S. Steger et al. 10.1016/j.geomorph.2020.107041
27. Exposure to landslides in rural areas in Central Italy M. Santangelo et al. 10.1080/17445647.2020.1746699
28. The unsuPervised shAllow laNdslide rapiD mApping: PANDA method applied to severe rainfalls in northeastern appenine (Italy) D. Notti et al. 10.1016/j.jag.2024.103806
29. Modelling the effects of urbanization on nutrients pollution for prospective management of a tropical watershed: A case study of Skudai River watershed A. Bello & M. Haniffah 10.1016/j.ecolmodel.2021.109721
30. Slope instabilities in steep cultivation systems: Process classification and opportunities from remote sensing P. Tarolli et al. 10.1002/ldr.3798
31. An assessment of Dungale landslide using remotely piloted aircraft system (RPAS), ground penetration radar (GPR), and Slide & RS2 Softwares R. Tandon et al. 10.1007/s11069-022-05334-7
32. CNN-Based Model for Landslide Susceptibility Assessment from Multispectral Data D. Renza et al. 10.3390/app12178483
33. Study on characteristics and impact of Kalikhola landslide, Manipur, NE India, using UAV photogrammetry R. Pattanaik & Y. Singh 10.1007/s11069-024-06484-6
34. Deformation process and kinematic evolution of the large Daxiaowan earthflow in the NE Qinghai-Tibet Plateau Y. Li et al. 10.1016/j.enggeo.2023.107062
35. Terrain visibility impact on the preparation of landslide inventories: a practical example in Darjeeling district (India) T. Bornaetxea et al. 10.5194/nhess-22-2929-2022
36. Using UAS-Aided Photogrammetry to Monitor and Quantify the Geomorphic Effects of Extreme Weather Events in Tectonically Active Mass Waste-Prone Areas: The Case of Medicane Ianos E. Kotsi et al. 10.3390/app13020812
37. Heavy rainfall drives slow-moving landslide in Mazhe Village, Enshi to a catastrophic collapse on 21 July 2020 C. Xue et al. 10.1007/s10346-021-01782-7
38. Multistep rocky slope stability analysis based on unmanned aerial vehicle photogrammetry S. Wang et al. 10.1007/s12665-019-8145-z
39. Improving landslide susceptibility predictive power through colluvium mapping in Tegucigalpa, Honduras G. Suárez & M. Domínguez-Cuesta 10.1007/s11069-020-04294-0
40. Shipborne Mobile Photogrammetry for 3D Mapping and Landslide Detection of the Water-Level Fluctuation Zone in the Three Gorges Reservoir Area, China D. Jin et al. 10.3390/rs13051007
41. Priority Analysis of Remote Sensing and Geospatial Information Techniques to Water-Related Disaster Damage Reduction for Inter-Korean Cooperation S. Lee et al. 10.1155/2020/8878888
42. The use of UAVs for landslide disaster risk research and disaster risk management: a literature review R. Garnica-Peña & I. Alcántara-Ayala 10.1007/s11629-020-6467-7
43. Brief communication: Remotely piloted aircraft systems for rapid emergency response: road exposure to rockfall in Villanova di Accumoli (central Italy) M. Santangelo et al. 10.5194/nhess-19-325-2019
44. Insights into the deformation kinematics of Xieliupo landslide, Zhouqu, China, through remote sensing and geomorphological observations Y. Zhang et al. 10.1007/s10346-023-02110-x
45. Preface: The use of remotely piloted aircraft systems (RPAS) in monitoring applications and management of natural hazards D. Giordan et al. 10.5194/nhess-18-3085-2018
46. Post-event surface deformation of Amyntaio slide (Greece) by complementary analysis of Remotely Piloted Airborne System imagery and SAR interferometry E. Vassilakis et al. 10.1007/s12518-020-00347-y
47. Deep Learning Method of Landslide Inventory Map with Imbalanced Samples in Optical Remote Sensing X. Chen et al. 10.3390/rs14215517
48. Semi-automatic mapping of shallow landslides using free Sentinel-2 images and Google Earth Engine D. Notti et al. 10.5194/nhess-23-2625-2023
49. Thermal Remote Sensing from UAVs: A Review on Methods in Coastal Cliffs Prone to Landslides M. Melis et al. 10.3390/rs12121971
50. Novel Land Cover Change Detection Deep Learning Framework with Very Small Initial Samples Using Heterogeneous Remote Sensing Images Y. Zhu et al. 10.3390/rs15184609
51. Assessment of earthquake-induced landslide inventories and susceptibility maps using slope unit-based logistic regression and geospatial statistics B. Pokharel et al. 10.1038/s41598-021-00780-y