| 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 | 193 | 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 | 20 | 2021 |
| 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 | 17 | 2023 |
| 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 | 16 | 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 | 12 | 2018 |
| 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 | 11 | 2022 |
| 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 | 11 | 2020 |
| Yield estimation from SAR data using patch-based deep learning and machine learning techniques MGZ Hashemi, PN Tan, E Jalilvand, B Wilke, H Alemohammad, NN Das Computers and Electronics in Agriculture 226, 109340, 2024 | 5 | 2024 |
| Review of synthetic aperture radar with deep learning in agricultural applications MGZ Hashemi, E Jalilvand, H Alemohammad, PN Tan, NN Das ISPRS Journal of Photogrammetry and Remote Sensing 218, 20-49, 2024 | 4 | 2024 |
| 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 |
| Tracing farmer’s irrigation decisions in time and space through their remotely sensed thermal signatures E Jalilvand, SV Kumar, C Truong, EMK Haacker, SPP Mahanama AGU24, 2024 | | 2024 |
| Corrigendum to" Harnessing SMAP satellite soil moisture product to optimize soil properties to improve water resource management for agriculture"[Agric. Water Manag., Volume … A Nanda, NN Das, E Jalilvand, G Singh, R Bindlish, KM Andreadis, ... Agricultural Water Management 303, 109065, 2024 | | 2024 |
| Changes in land cover aftermath of hurricane events: The case of Hurricane Michael E Ahmadisharaf, AMI Hafiz, E Jalilvand Chapman Conference on Remote Sensing of the Water Cycle, 2024 | | 2024 |
| Decoding human irrigation decision-making processes by assimilation of high-resolution SMAP-Sentinel1 and ET products with the Noah MP model E Jalilvand, R Abolafia-Rosenzweig, NN Das, Z Zhang, SV Kumar, ... 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 AGU Fall Meeting Abstracts 2023, H14C-04, 2023 | | 2023 |
| 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 |
| 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 |
| 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 |
Mahya GZ HashemiPh.D. Candidate, MSUVerified email at msu.edu