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Mohammad Saeedi
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Evaluation of gridded soil moisture products over varied land covers, climates, and soil textures using in situ measurements: A case study of Lake Urmia Basin
M Saeedi, A Sharafati, A Tavakol
Theoretical and Applied Climatology 145 (3), 1053-1074, 2021
122021
Estimating rainfall depth from satellite-based soil moisture data: A new algorithm by integrating SM2RAIN and the analytical net water flux models
M Saeedi, A Sharafati, L Brocca, A Tavakol
Journal of Hydrology 610, 127868, 2022
82022
A comprehensive assessment of SM2RAIN-NWF using ASCAT and a combination of ASCAT and SMAP soil moisture products for rainfall estimation
M Saeedi, H Kim, S Nabaei, L Brocca, V Lakshmi, H Mosaffa
Science of The Total Environment 838, 156416, 2022
42022
Estimation of soil moisture from remote sensing products using an ensemble machine learning model: a case study of Lake Urmia Basin, Iran
SBHS Asadollah, A Sharafati, M Saeedi, S Shahid
Earth Science Informatics 17 (1), 385-400, 2024
12024
Performance assessment of SM2RAIN-NWF using ASCAT soil moisture via supervised land cover-soil-climate classification
M Saeedi, S Nabaei, H Kim, A Tavakol, V Lakshmi
Remote Sensing of Environment 285, 113393, 2023
12023
Beyond the Conventional: Advancements in Rainfall Estimation through a Bottom-Up Approach and Net Water Flux
M Saeedi, H Kim, VV Lakshmi
AGU Fall Meeting 2023, 2023
2023
Leveraging Machine Learning to Improve Rainfall Estimation: A Study on Noise Reduction in Soil Moisture Time Series in Areas with In-Situ Data Limitation
M Saeedi, S Azimi, H Kim, VV Lakshmi
AGU23, 0
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