Articles | Volume 18, issue 1
https://doi.org/10.5194/nhess-18-405-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-18-405-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Criteria for the optimal selection of remote sensing optical images to map event landslides
Federica Fiorucci
CORRESPONDING AUTHOR
Istituto di Ricerca per la Protezione Idrogeologica, Consiglio Nazionale
delle Ricerche, via della Madonna Alta 126, 06128 Perugia, Italy
Daniele Giordan
Istituto di Ricerca per la Protezione Idrogeologica, Consiglio Nazionale
delle Ricerche, Strada delle Cacce 73, 10135 Turin, Italy
Michele Santangelo
Istituto di Ricerca per la Protezione Idrogeologica, Consiglio Nazionale
delle Ricerche, via della Madonna Alta 126, 06128 Perugia, Italy
Furio Dutto
Servizio Protezione Civile della Città Metropolitana di Torino, Via
Alberto Sordi 13, 10095 Grugliasco, Italy
Mauro Rossi
Istituto di Ricerca per la Protezione Idrogeologica, Consiglio Nazionale
delle Ricerche, via della Madonna Alta 126, 06128 Perugia, Italy
Fausto Guzzetti
Istituto di Ricerca per la Protezione Idrogeologica, Consiglio Nazionale
delle Ricerche, via della Madonna Alta 126, 06128 Perugia, Italy
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55 citations as recorded by crossref.
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- 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
- 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
- Deep Learning Method of Landslide Inventory Map with Imbalanced Samples in Optical Remote Sensing X. Chen et al. 10.3390/rs14215517
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- Detection and analysis of landslide geomorphology based on UAV vertical photogrammetry R. Bi et al. 10.1007/s11629-022-7766-y
55 citations as recorded by crossref.
- Effective surveyed area and its role in statistical landslide susceptibility assessments T. Bornaetxea et al. 10.5194/nhess-18-2455-2018
- 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
- Landslide Recognition by Deep Convolutional Neural Network and Change Detection W. Shi et al. 10.1109/TGRS.2020.3015826
- Sentinel-1 SAR Amplitude Imagery for Rapid Landslide Detection A. Mondini et al. 10.3390/rs11070760
- Standards for shallow landslide identification in Brazil: Spatial trends and inventory mapping H. Dias & C. Grohmann 10.1016/j.jsames.2024.104805
- Remote Sensing-Based 3D Assessment of Landslides: A Review of the Data, Methods, and Applications H. Albanwan et al. 10.3390/rs16030455
- The use of unmanned aerial vehicles (UAVs) for engineering geology applications D. Giordan et al. 10.1007/s10064-020-01766-2
- 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
- Exploring available landslide inventories for susceptibility analysis in Gipuzkoa province (Spain) T. Bornaetxea et al. 10.1007/s11069-023-06103-w
- Rainfall-induced transportation embankment failure: A review X. Linrong et al. 10.1515/geo-2022-0558
- Identifying Potential Landslides on Giant Niexia Slope (China) Based on Integrated Multi-Remote Sensing Technologies X. Dong et al. 10.3390/rs14246328
- Landslide-Induced Damage Probability Estimation Coupling InSAR and Field Survey Data by Fragility Curves M. Del Soldato et al. 10.3390/rs11121486
- Regional susceptibility assessments with heterogeneous landslide information: Slope unit- vs. pixel-based approach L. Jacobs et al. 10.1016/j.geomorph.2020.107084
- 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
- 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
- Landslide Detection Using a Saliency Feature Enhancement Technique From LiDAR-Derived DEM and Orthophotos B. Pradhan et al. 10.1109/ACCESS.2020.3006914
- Geomorphologic landslide inventory by air photo interpretation of the High Agri Valley (Southern Italy) F. Bucci et al. 10.1080/17445647.2021.1943552
- 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
- Low cost, multiscale and multi-sensor application for flooded area mapping D. Giordan et al. 10.5194/nhess-18-1493-2018
- 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
- 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
- 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
- ShapeFormer: A Shape-Enhanced Vision Transformer Model for Optical Remote Sensing Image Landslide Detection P. Lv et al. 10.1109/JSTARS.2023.3253769
- Geomorphological landslide inventory map of the Daunia Apennines, southern Italy F. Ardizzone et al. 10.5194/essd-15-753-2023
- Topography-driven satellite imagery analysis for landslide mapping M. Alvioli et al. 10.1080/19475705.2018.1458050
- EMR-HRNet: A Multi-Scale Feature Fusion Network for Landslide Segmentation from Remote Sensing Images Y. Jin et al. 10.3390/s24113677
- 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
- Exposure to landslides in rural areas in Central Italy M. Santangelo et al. 10.1080/17445647.2020.1746699
- 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
- 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
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- 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
- CNN-Based Model for Landslide Susceptibility Assessment from Multispectral Data D. Renza et al. 10.3390/app12178483
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- 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
- Assessing Many Image Processing Products Retrieved from Sentinel-2 Data to Monitor Shallow Landslides in Agricultural Environments R. Cavalli et al. 10.3390/rs16132286
- 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
- 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
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- Multistep rocky slope stability analysis based on unmanned aerial vehicle photogrammetry S. Wang et al. 10.1007/s12665-019-8145-z
- Improving landslide susceptibility predictive power through colluvium mapping in Tegucigalpa, Honduras G. Suárez & M. Domínguez-Cuesta 10.1007/s11069-020-04294-0
- 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
- 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
- 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
- Research Trends and ‘Space-Sky-Ground-Underground’ Monitoring Technology Analysis of Landslide Hazard G. Cheng et al. 10.3390/w16142005
- 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
- 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
- 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
- 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
- Deep Learning Method of Landslide Inventory Map with Imbalanced Samples in Optical Remote Sensing X. Chen et al. 10.3390/rs14215517
- 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
- Thermal Remote Sensing from UAVs: A Review on Methods in Coastal Cliffs Prone to Landslides M. Melis et al. 10.3390/rs12121971
- 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
- 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
- Detection and analysis of landslide geomorphology based on UAV vertical photogrammetry R. Bi et al. 10.1007/s11629-022-7766-y
Latest update: 14 Dec 2024
Short summary
This paper describes the criteria for the optimal selection of remote sensing images to map event landslides, discussing the ability of monoscopic and stereoscopic VHR satellite images and ultra-high-resolution UAV images to resolve the landslide photographical and morphological signatures. The findings can be useful to decide on the optimal imagery and technique to be used when planning the production of a landslide inventory map.
This paper describes the criteria for the optimal selection of remote sensing images to map...
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