Mohammadreza Sheykhmousa
Cited by
Cited by
Support vector machine versus random forest for remote sensing image classification: A meta-analysis and systematic review
M Sheykhmousa, M Mahdianpari, H Ghanbari, F Mohammadimanesh, ...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020
African soil properties and nutrients mapped at 30 m spatial resolution using two-scale ensemble machine learning
T Hengl, MAE Miller, J Križan, KD Shepherd, A Sila, M Kilibarda, ...
Scientific Reports 11 (1), 1-18, 2021
Post-disaster recovery assessment with machine learning-derived land cover and land use information
M Sheykhmousa, N Kerle, M Kuffer, S Ghaffarian
Remote sensing 11 (10), 1174, 2019
Understanding post disaster recovery through assessment of land cover and land use changes using remote sensing
M Sheykhmousa
University of Twente, 2018
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