An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machines B Choubin, E Moradi, M Golshan, J Adamowski, F Sajedi-Hosseini, ... Science of the Total Environment 651, 2087-2096, 2019 | 617 | 2019 |
Spatial hazard assessment of the PM10 using machine learning models in Barcelona, Spain B Choubin, M Abdolshahnejad, E Moradi, X Querol, A Mosavi, ... Science of The Total Environment 701, 134474, 2020 | 138 | 2020 |
Regional groundwater potential analysis using classification and regression trees B Choubin, O Rahmati, F Soleimani, H Alilou, E Moradi, N Alamdari Spatial modeling in GIS and R for earth and environmental sciences, 485-498, 2019 | 66 | 2019 |
Long-term monitoring of soil bulk density and erosion rates in two Prunus Persica (L) plantations under flood irrigation and glyphosate herbicide treatment in La Ribera … A Cerdà, IN Daliakopoulos, E Terol, A Novara, Y Fatahi, E Moradi, ... Journal of Environmental Management 282, 111965, 2021 | 36 | 2021 |
Long-term non-sustainable soil erosion rates and soil compaction in drip-irrigated citrus plantation in Eastern Iberian Peninsula A Cerdà, A Novara, E Moradi Science of the Total Environment 787, 147549, 2021 | 27 | 2021 |
Quantifying soil compaction in persimmon orchards using ISUM (improved stock unearthing method) and core sampling methods E Moradi, J Rodrigo-Comino, E Terol, G Mora-Navarro, A Marco da Silva, ... Agriculture 10 (7), 266, 2020 | 18 | 2020 |
Efficient rainwater harvesting planning using socio-environmental variables and data-driven geospatial techniques H Darabi, E Moradi, AA Davudirad, M Ehteram, A Cerda, AT Haghighi Journal of Cleaner Production 311, 127706, 2021 | 17 | 2021 |
Machine learning approach to predict susceptible growth regions of Moringa peregrina (Forssk) E Moradi, M Abdolshahnejad, MB Hassangavyar, G Ghoohestani, ... Ecological Informatics 62, 101267, 2021 | 14 | 2021 |
Spatial variability of soil roughness in persimmon plantations: A new combined ISUM (improved stock unearthing method) approach AM da Silva, E Moradi, J Rodrigo-Comino, A Cerdà Ecological indicators 106, 105528, 2019 | 12 | 2019 |
Identification of homogeneous groundwater quality regions using factor and cluster analysis; A case study Ghir Plain of Fars Province H Khosravi, E Moradi, H Darabi Irrigation and Water Engineering 6 (1), 119-133, 2015 | 8 | 2015 |
Vegetation vulnerability to hydrometeorological stresses in water-scarce areas using machine learning and remote sensing techniques E Moradi, H Darabi, EH Alamdarloo, M Karimi, B Kløve Ecological Informatics 73, 101838, 2023 | 7 | 2023 |
Analyzing WSTP trend: a new method for global warming assessment E Heydari Alamdarloo, E Moradi, M Abdolshahnejad, Y Fatahi, ... Environmental monitoring and assessment 193, 1-15, 2021 | 7 | 2021 |
Improved Stock Unearthing Method (ISUM) as a tool to determine the value of alternative topographic factors in estimating inter-row soil mobilisation in citrus orchards J Rodrigo-Comino, AM da Silva, E Moradi, E Terol, A Cerdà Spanish Journal of Soil Science 10 (1), 2020 | 6 | 2020 |
Vulnerability assessment of land degradation using network analysis process and geographicinformation system (Case Study: Maharloo-Bakhtegan watershed) E Moradi, H Khosravi, G Zehtabian, S Khalighi-Sigaroodi, A Cerda Iranian Journal of Soil and Water Research 51 (5), 1069-1080, 2020 | 4 | 2020 |
Assessing wildfire impact on Trigonella elliptica habitat using random forest modeling E Moradi, A Tavili, H Darabi, Z Muchová Journal of Environmental Management 353, 120209, 2024 | 3 | 2024 |
Spatial modeling of Trigonella elliptica potential habitat using environmental variables and machine learning technique in the Rangelands of Yazd province E Moradi, A Tavili, M Asadollahi, MR Ahmadi Roknabadi Journal of Natural Environment 75 (2), 291-306, 2022 | 2 | 2022 |
Analysis of Agricultural Drought in Southwest Iran Using Remote Sensing Indices M Karimi, K Shahedi, T Raziei, M Miryaghoubzadeh, E Moradi Integrated Drought Management, Volume 2, 423-444, 2023 | | 2023 |