Követés
Mojtaba Naghdyzadegan Jahromi
Mojtaba Naghdyzadegan Jahromi
Shiraz University
E-mail megerősítve itt: shirazu.ac.ir
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
552019
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
362022
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
202021
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
132023
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
112021
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
102023
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
72021
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
62022
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
52021
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
42022
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
32020
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
22022
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
22016
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
12023
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
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Cikkek 1–17