Uncertainties of prediction accuracy in shallow landslide modeling: sample size and raster resolution
Understanding landslide characteristics such as their locations, dimensions, and spatial distribution is of highly importance in landslide modeling and prediction. The main objective of this study was to assess the effect of different sample sizes and raster resolutions in landslide susceptibility m...
Saved in:
Main Authors: | Shirzadi, Ataollah, Solaimani, Karim, Roshan, Mahmood Habibnejad, Kavian, Ataollah, Chapi, Kamran, Shahabi, Himan, Keesstra, Saskia, Ahmad, Baharin, Dieu, Tien Bui |
---|---|
Format: | Article |
Published: |
Elsevier B.V.
2019
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/88573/ http://dx.doi.org/10.1016/j.catena.2019.03.017 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Shallow landslide prediction using a novel hybrid functional machine learning algorithm
by: Dieu, Tien Bui, et al.
Published: (2019) -
Spatial prediction of landslide susceptibility by combining evidential belief function, logistic regression and logistic model tree
by: Chen, Wei, et al.
Published: (2019) -
A novel ensemble artificial intelligence approach for gully erosion mapping in a semi-arid watershed (Iran)
by: Dieu, Tien Bui, et al.
Published: (2019) -
Land cover change mapping using a combination of sentinel 1 data and multispectral satellite imagery: a case study of Sanandaj county, Kurdistan, Iran
by: Dieu, Tien Bui, et al.
Published: (2019) -
Predicting uncertainty of machine learning models for modelling nitrate pollution of groundwater using quantile regression and UNEEC methods
by: Rahmati, Omid, et al.
Published: (2019)