A Multi-Sensor Comparative Analysis on the Suitability of Generated DEM from Sentinel-1 SAR Interferometry Using Statistical and Hydrological Models
Ayub Mohammadi(University of Tabriz), Nadhir Al‐Ansari(Luleå University of Technology), Saeid Homayouni(Institut National de la Recherche Scientifique), Sadra Karımzadeh(Tokyo Institute of Technology), Himan Shahabi(University of Kurdistan), Shazad Jamal Jalal(University of Technology Malaysia), Khalil Valizadeh Kamran(University of Tabriz)
Cited by 31
Related Papers
Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review
|IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing|2020|1k
A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran
|The Science of The Total Environment|2018|760
A novel hybrid artificial intelligence approach for flood susceptibility assessment
|Environmental Modelling & Software|2017|637
Influence of Data Splitting on Performance of Machine Learning Models in Prediction of Shear Strength of Soil
|Mathematical Problems in Engineering|2021|609