TOWARDS THE OPTIMAL PIXEL SIZE OF DEM FOR AUTOMATIC MAPPING OF LANDSLIDE AREAS

15 citations as recorded by crossref.

1. Object-based modelling and accuracy assessment of Gordion tumuli using very high-resolution stereo satellite images M. Doğruluk & M. Yanalak 10.1080/01431161.2021.1954258
2. Spatio-temporal evolution of mass wasting after the 2008 Mw 7.9 Wenchuan earthquake revealed by a detailed multi-temporal inventory X. Fan et al. 10.1007/s10346-018-1054-5
3. Optimizing collapsed pipes mapping: Effects of DEM spatial resolution N. Kariminejad et al. 10.1016/j.catena.2019.104344
4. Multi-Aspect Analysis of Object-Oriented Landslide Detection Based on an Extended Set of LiDAR-Derived Terrain Features K. Pawłuszek et al. 10.3390/ijgi8080321
5. On the Importance of Train–Test Split Ratio of Datasets in Automatic Landslide Detection by Supervised Classification K. Pawluszek-Filipiak & A. Borkowski 10.3390/rs12183054
6. Investigating the Effect of Cross-Modeling in Landslide Susceptibility Mapping K. Pawluszek-Filipiak et al. 10.3390/app10186335
7. Improved Automatic Classification of Litho-Geomorphological Units by Using Raster Image Blending, Vipava Valley (SW Slovenia) G. Jordanova & T. Verbovšek 10.3390/rs15020531
8. Automated determination of landslide locations after large trigger events: advantages and disadvantages compared to manual mapping D. Milledge et al. 10.5194/nhess-22-481-2022
9. Machine learning and landslide studies: recent advances and applications F. Tehrani et al. 10.1007/s11069-022-05423-7
10. Quantification of Microtopography in Natural Ecosystems Using Close-Range Remote Sensing T. Shukla et al. 10.3390/rs15092387
11. GIS-assisted classification of litho-geomorphological units using Maximum Likelihood Classification, Vipava Valley, SW Slovenia T. Verbovšek & T. Popit 10.1007/s10346-018-1004-2
12. Sensitivity analysis of automatic landslide mapping: numerical experiments towards the best solution K. Pawluszek et al. 10.1007/s10346-018-0986-0
13. Two multi-temporal datasets that track the enhanced landsliding after the 2008 Wenchuan earthquake X. Fan et al. 10.5194/essd-11-35-2019
14. A data-driven method for the estimation of shallow landslide runout A. Giarola et al. 10.1016/j.catena.2023.107573
15. Application of Supervised Machine Learning Technique on LiDAR Data for Monitoring Coastal Land Evolution M. Barbarella et al. 10.3390/rs13234782