| Quantification of irrigation water using remote sensing of soil moisture in a semi-arid region E Jalilvand, M Tajrishy, SAGZ Hashemi, L Brocca Remote Sensing of Environment 231, 111226, 2019 | 160 | 2019 |
| Evaluation of SMAP/Sentinel 1 High-resolution soil moisture data to detect irrigation over agricultural domain E Jalilvand, R Abolafia-Rosenzweig, M Tajrishy, NN Das IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 17 | 2021 |
| A method to estimate surface soil moisture and map the irrigated cropland area using sentinel-1 and sentinel-2 data S Rabiei, E Jalilvand, M Tajrishy Sustainability 13 (20), 11355, 2021 | 14 | 2021 |
| Estimating the drainage rate from surface soil moisture drydowns: Application of DfD model to in situ soil moisture data E Jalilvand, M Tajrishy, L Brocca, C Massari, SAGZ Hashemi, L Ciabatta Journal of hydrology 565, 489-501, 2018 | 11 | 2018 |
| Is It Possible to Quantify Irrigation Water‐Use by Assimilating a High‐Resolution Satellite Soil Moisture Product? E Jalilvand, R Abolafia‐Rosenzweig, M Tajrishy, SV Kumar, ... Water Resources Research 59 (4), e2022WR033342, 2023 | 10 | 2023 |
| The impact of pavement permeability on time of concentration in a small urban watershed with a semi-arid climate MS Ghazi Zadeh Hashemi, M Tajrishy, E Jalilvand Water Resources Management 34, 2969-2988, 2020 | 9 | 2020 |
| Assessing the impact of Sentinel-1 derived planting dates on rice crop yield modeling MGZ Hashemi, A Abhishek, E Jalilvand, S Jayasinghe, KM Andreadis, ... International Journal of Applied Earth Observation and Geoinformation 114 …, 2022 | 5 | 2022 |
| Using high-resolution climate models to identify climate change hotspots in the Middle East: a case study of Iran S Sotoudeheian, E Jalilvand, A Kermanshah Climate 10 (11), 161, 2022 | 4 | 2022 |
| SMAP/Sentinel-1 Enhancement: Addressing Soil Moisture Monitoring Challenges in Subarctic Regions with Organic-Rich Soil E Jalilvand, NN Das, A Colliander, S Chan AGU23, 2023 | | 2023 |
| A roadmap to identify irrigated areas on a global scale using high-resolution soil moisture datasets A Nanda, NN Das, E Jalilvand, G Singh, R Bindlish AGU23, 2023 | | 2023 |
| Optimization of soil parameters in the hydrological model and its impact assessment in agricultural drought estimation A Nanda, E Jalilvand, NN Das, K Andreadis, S Jayasinghe, I Hour AGU Fall Meeting Abstracts 2022, H16D-02, 2022 | | 2022 |
| High-Resolution Soil Moisture for the Northern Latitude Regions to Monitor Permafrost Critical for Climate Change Studies E Jalilvand, NN Das, A Colliander, S Chan AGU Fall Meeting Abstracts 2022, GC55K-0350, 2022 | | 2022 |
| Is it Possible to Quantify Amount of Irrigation from the SMAP High-Resolution Soil Moisture Product? NN Das, E Jalilvand, R Abolafia-Rosenzweig, M Tajrishy Frontiers in Hydrology 2022, 126-063, 2022 | | 2022 |
| Quantifying the irrigation water use by assimilating SMAP-Sentinel1 1km soil moisture data using a particle batch smoother approach E Jalilvand, R Abolafia-Rosenweig, N Das, M Tajrishy EGU General Assembly Conference Abstracts, EGU22-9849, 2022 | | 2022 |
| Assimilating SMAP-Sentinel1 High-Resolution Soil Moisture Data in Numerical Modeling to Quantify the Irrigation Water Use N Das, E Jalilvand, R Abolafia-Rosenzweig, M Mohammadi, M Tajrishy AGU Fall Meeting Abstracts 2021, H31F-05, 2021 | | 2021 |
| Groundwater Budget Estimation of an Over-Exploited Aquifer Located in the Arid Climate of Iran (Part Two: Calculation of Different Water Budget Components) H Ketabchi, D Mahmoodzadeh, E Jalilvand Iranian Journal of Soil and Water Research 52 (6), 1543-1556, 2021 | | 2021 |
| A Method to Estimate Surface Soil Moisture and Map the Irrigated Cropland Area Using Sentinel-1 and Sentinel-2 Data. Sustainability 2021, 13, 11355 S Rabiei, E Jalilvand, M Tajrishy s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021 | | 2021 |
| Estimating drainage rate using satellite soil moisture drydowns E Jalilvand, M Tajrishy, L Brocca, C Massari, SA Ghazi Zadeh Hashmi EGU General Assembly Conference Abstracts, 692, 2018 | | 2018 |
| Toward creating a global map of drainage rate using satellite soil moisture data as the only input E Jalilvand, L Brocca, C Massari, SASGZ Hashemi, L Ciabatta, M Tajrishy EGU General Assembly Conference Abstracts, 14156, 2017 | | 2017 |
| Estimating the rate of evaporation from Lake Urmia in year 1995 with highest water level records using satellite and gauge data SFF Mojtahedi, S Saravani, E Jalilvand, S Sima, M Tajrishy | | 2015 |
Mahya GZ HashemiPh.D. Candidate, MSUVerified email at msu.edu
