| Application of a simple Landsat-MODIS fusion model to estimate evapotranspiration over a heterogeneous sparse vegetation region S Jamshidi, S Zand-Parsa, M Naghdyzadegan Jahromi, D Niyogi Remote Sensing 11 (7), 741, 2019 | 59 | 2019 |
| Application of machine learning algorithms in hydrology H Mosaffa, M Sadeghi, I Mallakpour, MN Jahromi, HR Pourghasemi Computers in earth and environmental sciences, 585-591, 2022 | 52 | 2022 |
| Google Earth Engine and its application in forest sciences MN Jahromi, MN Jahromi, B Zolghadr-Asli, HR Pourghasemi, ... Spatial Modeling in Forest Resources Management: Rural Livelihood and …, 2021 | 25 | 2021 |
| Developing machine learning models for wheat yield prediction using ground-based data, satellite-based actual evapotranspiration and vegetation indices MN Jahromi, S Zand-Parsa, F Razzaghi, S Jamshidi, S Didari, ... European Journal of Agronomy 146, 126820, 2023 | 22 | 2023 |
| Strategies to increase barley production and water use efficiency by combining deficit irrigation and nitrogen fertilizer M Naghdyzadegan Jahromi, F Razzaghi, S Zand-Parsa Irrigation Science 41 (2), 261-275, 2023 | 18 | 2023 |
| Accuracy assessment of forest mapping in MODIS land cover dataset using fuzzy set theory MN Jahromi, MN Jahromi, HR Pourghasemi, S Zand-Parsa, S Jamshidi Forest resources resilience and conflicts, 165-183, 2021 | 15 | 2021 |
| Application of Granger-causality to study the climate change impacts on depletion patterns of inland water bodies B Zolghadr-Asli, M Enayati, HR Pourghasemi, ... Hydrological Sciences Journal 66 (12), 1767-1776, 2021 | 9 | 2021 |
| Enhancing vegetation indices from sentinel-2 using multispectral UAV data, Google Earth engine and Machine Learning M Naghdyzadegan Jahromi, S Zand-Parsa, A Doosthosseini, F Razzaghi, ... Computational Intelligence for Water and Environmental Sciences, 507-523, 2022 | 6 | 2022 |
| Pest-infected oak trees identify using remote sensing-based classification algorithms S Yousefi, F Haghighian, MN Jahromi, HR Pourghasemi Computers in Earth and Environmental Sciences, 363-376, 2022 | 6 | 2022 |
| A linear/non-linear hybrid time-series model to investigate the depletion of inland water bodies B Zolghadr-Asli, M Enayati, HR Pourghasemi, MN Jahromi, ... Environment, Development and Sustainability 23, 10727-10742, 2021 | 6 | 2021 |
| Ten Years of GLEAM: A Review of Scientific Advances and Applications MN Jahromi, D Miralles, A Koppa, D Rains, S Zand-Parsa, H Mosaffa, ... Computational Intelligence for Water and Environmental Sciences, 525, 2022 | 4 | 2022 |
| Optimization of applied irrigation water and nitrogen fertilizer for barley in a semi‐arid region: a case study in Iran M Naghdyzadegan Jahromi, F Razzaghi, S Zand‐Parsa Irrigation and Drainage 69 (4), 559-571, 2020 | 4 | 2020 |
| Uncovering the Depletion Patterns of Inland Water Bodies via Remote Sensing, Data Mining, and Statistical Analysis B Zolghadr-Asli, M Naghdyzadegan Jahromi, X Wan, M Enayati, ... Water 15 (8), 1508, 2023 | 2 | 2023 |
| Potentioal of quinoa production in humid and dry regions under different irrigation and soil conditions: Denmark and Iran F Razzaghi, S Henriksen, JM Naghdyzadegan, MN Anderson, ... International quinoa conference, 142, 2016 | 2 | 2016 |
| Hyper-resolution modeling of crop evaporation in a semi-arid region using GLEAM and METRIC M Naghdyzadegan Jahromi, S Zand-Parsa, H Nouri, A Koppa, D Rains, ... EGU General Assembly Conference Abstracts, EGU22-10572, 2022 | | 2022 |
| Hyper-resolution modeling of crop evaporation in a semi-arid region using GLEAM and METRIC MN Jahromi, S Zand-Parsa, H Nouri, A Koppa, D Rains, DG Miralles EGU22, 2022 | | 2022 |
| BARLEY WATER AND NITROGEN REQUIREMENT TO INCREASE ITS SUSTAINABLE PRODUCTION IN SEMI-ARID REGION M Naghdyzadegan, F Razzaghi, S Zand-Parsa | | |
Shahrokh Zand-ParsaProfessor of Shiraz UniversityVerified email at shirazu.ac.ir