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Mojtaba Saboori
Mojtaba Saboori
Researcher, University of Oulu
Verified email at oulu.fi
Title
Cited by
Cited by
Year
Automatically selecting hot and cold pixels for satellite actual evapotranspiration estimation under different topographic and climatic conditions
M Saboori, A Mokhtari, Y Afrasiabian, A Daccache, S Alaghmand, ...
Agricultural Water Management 248, 106763, 2021
182021
Optimum feature and classifier selection for accurate urban land use/cover mapping from very high resolution satellite imagery
M Saboori, S Homayouni, R Shah-Hosseini, Y Zhang
Remote Sensing 14 (9), 2097, 2022
122022
Combining multi-scale textural features from the panchromatic bands of high spatial resolution images with ANN and MLC classification algorithms to extract urban land uses
M Saboori, A Asghar Torahi, H Reza Riyahi Bakhtyari
International journal of remote sensing 40 (22), 8608-8634, 2019
92019
An automated and improved methodology to retrieve long-time series of evapotranspiration based on remote sensing and reanalysis data
M Saboori, Y Mousivand, J Cristóbal, R Shah-Hosseini, A Mokhtari
Remote Sensing 14 (24), 6253, 2022
12022
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Articles 1–4