| 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 | 15 | 2021 |
| 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 | 13 | 2022 |
| 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 | 9 | 2024 |
| 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 | 8 | 2022 |
| 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 | 7 | 2023 |
| Eliminating Calibration Periods in Rainfall Estimation through Soil Moisture Using Growing Neural Gas Clustering M Saeedi, S Kim, H Kim, VV Lakshmi AGU24, 2024 | | 2024 |
| 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 Satellite Soil Moisture Data for Global Rainfall Estimation Using a Bottom-Up Approach: Exploring the Global Potential of SM2RAIN-NWF M Saeedi, VV Lakshmi AGU24, 0 | | |
| Introducing a New Clustering-Based Method for Self-Calibrating Continental-Scale Rainfall Estimates from Soil Moisture Dynamics Using Machine Learning Methods M Saeedi, H Kim, V Lakshmi Available at SSRN 5108683, 0 | | |
| 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 | | |
Venkataraman LakshmiUniversity of VirginiaVerified email at virginia.edu
