Ebrahim Babaeian

ORCID: 0000-0001-7902-3763
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About
Contact & Profiles
Research Areas
  • Soil Moisture and Remote Sensing
  • Soil and Unsaturated Flow
  • Soil Geostatistics and Mapping
  • Geophysical Methods and Applications
  • Hydrology and Watershed Management Studies
  • Plant Water Relations and Carbon Dynamics
  • Precipitation Measurement and Analysis
  • Climate change and permafrost
  • Landslides and related hazards
  • Remote Sensing and Land Use
  • Climate variability and models
  • Urban Heat Island Mitigation
  • Geochemistry and Geologic Mapping
  • Genetic Mapping and Diversity in Plants and Animals
  • Irrigation Practices and Water Management
  • Spectroscopy and Chemometric Analyses
  • Water Quality Monitoring and Analysis
  • Soil erosion and sediment transport
  • Remote Sensing in Agriculture
  • Geophysics and Gravity Measurements
  • Environmental and biological studies
  • Atmospheric chemistry and aerosols
  • Environmental and Cultural Studies in Latin America and Beyond
  • Polymer-Based Agricultural Enhancements
  • Wheat and Barley Genetics and Pathology

University of Florida
2022-2025

University of Arizona
2017-2022

U.S. Arid Land Agricultural Research Center
2018

Tarbiat Modares University
2014-2016

Abstract Soil moisture (SM) is a key hydrologic state variable that of significant importance for numerous Earth and environmental science applications directly impact the global environment human society. Potential include, but are not limited to, forecasting weather climate variability; prediction monitoring drought conditions; management allocation water resources; agricultural plant production alleviation famine; prevention natural disasters such as wild fires, landslides, floods, dust...

10.1029/2018rg000618 article EN publisher-specific-oa Reviews of Geophysics 2019-03-22

Information about the soil–water retention curve is necessary for modeling water flow and solute transport processes in soils. Soil spectroscopy visible, near-infrared, shortwave infrared (Vis-NIR-SWIR) range has been widely used as a rapid, cost-effective nondestructive technique to predict soil properties. However, less attention paid hydraulic properties using spectral data. In this paper, reflectances of samples from Zanjanrood watershed, Iran, were measured Vis-NIR-SWIR ranges (350–2500...

10.2136/sssaj2014.09.0355 article EN Soil Science Society of America Journal 2015-05-22

In this study, we developed spectrotransfer functions (STFs) that relate soil hydraulic properties (SHPs) to spectral reflectance values estimate parameters of the Mualem–van Genuchten (MvG) model. We investigated general potential airborne as well space‐borne remote sensors retrieve MvG a bare agricultural field. Based on ASD full spectrum (Scenario I), simple signatures were generated mimicking hyperspectral EnMAP sensor II), and multispectral Sentinel‐2 III). A stepwise multiple linear...

10.2136/vzj2014.07.0080 article EN Vadose Zone Journal 2015-03-01

The recently developed OPtical TRapezoid Model (OPTRAM) has been successfully applied for watershed scale soil moisture (SM) estimation based on remotely-sensed shortwave infrared (SWIR) transformed reflectance (TRSWIR) and the normalized difference vegetation index (NDVI). This study is aimed at evaluation of OPTRAM field precision agriculture applications using ultrahigh spatial resolution optical observations obtained with one world’s largest robotic phenotyping scanners located in...

10.3389/fdata.2019.00037 article EN cc-by Frontiers in Big Data 2019-11-05

Accurate knowledge of surface and subsurface soil moisture (SM) is essential for hydrologic modeling, weather forecasting, agricultural water management. NASA’s Soil Moisture Active Passive (SMAP) satellite (level 3) provides ‘surface’ SM with 2–3 days temporal resolution, hence lacks daily information. This study developed a convolutional neural network–long short-term memory (ConvLSTM) deep learning model to produce ‘daily’ (5 cm) (25 products (9 km) by integrating SMAP level 3 ancillary...

10.3390/rs17040659 article EN cc-by Remote Sensing 2025-02-14

The reference area (RA) approach has been frequently used in soil surveying and mapping projects, since it allows for reduced costs. However, a crucial point using this is the choice or delineation of an RA, which can compromise accuracy prediction models. In study, innovative algorithm that delineates RA (autoRA—automatic areas) presented, its efficiency evaluated Sátiro Dias, Bahia, Brazil. autoRA integrates multiple environmental covariates (e.g., geomorphology, geology, digital elevation...

10.3390/land14030604 article EN cc-by Land 2025-03-13

Digital Soil Mapping (DSM) enhances the delivery of soil information but typically requires costly and extensive field data to develop accurate prediction models. The Reference Area (RA) approach can reduce sampling intensity; however, its subjective delineation may compromise model accuracy when predicting properties. In this study, we introduce autoRA algorithm, an innovative automated design method that utilizes Gower’s Dissimilarity Index delineate RAs automatically. This preserves...

10.3389/fsoil.2025.1557566 article EN cc-by Frontiers in Soil Science 2025-04-03

Core Ideas A TDR array has been developed for soil moisture profiling. The sensor provides eight incremental measurements at centimeter‐depth resolution. Permittivity, evaporation rate, and profile were determined. Near‐surface conditions (i.e., temperature) moderate mass energy exchange the soil–atmosphere interface. While remote sensing offers an effective means mapping near‐surface content across large areas, in situ measurements, targeting those specific remotely sensed depths, are...

10.2136/vzj2016.11.0112 article EN publisher-specific-oa Vadose Zone Journal 2017-04-01

Abstract In-depth knowledge about the global patterns and dynamics of land surface net water flux (NWF) is essential for quantification depletion recharge groundwater resources. Net cannot be directly measured, its estimates as a residual individual components often suffer from mass conservation errors due to accumulated systematic biases fluxes. Here, first time, we provide direct NWF based on near-surface satellite soil moisture retrievals Soil Moisture Ocean Salinity (SMOS) Active Passive...

10.1175/jhm-d-19-0150.1 article EN Journal of Hydrometeorology 2019-12-20

Saline playas in arid and semiarid regions of the world are significant sources unconsolidated sediments susceptible to aeolian transport. Lake Urmia Iran, one largest saltwater lakes on Earth, has waned approximately 18% its original size due groundwater pumping surface water diversions. This led ecosystem degradation, accelerated desertification frequent dust storms, causing public health problems. In this paper we introduce a new framework for delineation source zones estimation...

10.2136/sssaj2019.01.0018 article EN Soil Science Society of America Journal 2019-07-01

Osmotic adjustment (OA) is a major component of drought resistance in crops. The genetic basis OA wheat and other crops remains largely unknown. In this study, 248 field-grown durum elite accessions grown under well-watered conditions, underwent progressively severe treatment started at heading. Leaf samples were collected heading 17 days later. following traits considered: flowering time (FT), leaf relative water content (RWC), osmotic potential (ψs), OA, chlorophyll (SPAD), rolling (LR)....

10.3390/genes13020293 article EN Genes 2022-02-02

The objective of this study was to the influence different ethylenediamine tetraacetate (EDTA), nitrilotriacetic acid (NTA) and oxalic (HOx) concentrations on tolerance lead (Pb) accumulation capacity carrot (Daucus carota). results indicated that by increasing Pb, NTA HOx in soil, shoot, taproot capillary root dry matters increase effectively. In contrary, EDTA caused reduce roots biomass. more effective than solubilizing soil Pb. highest Pb content shoots (342.2 ± 13.9 mg kg−1) taproots...

10.1080/03650340.2015.1060320 article EN Archives of Agronomy and Soil Science 2015-06-09

To minimize uncertainty related to soil processes in extreme events, we need accurate hydraulic properties across the entire range of water content. However, conventional methods are time-consuming and limited specific ranges. estimate throughout range, conducted inverse modeling using upward infiltration experiments, where a shortwave infrared imaging camera was used obtain high-resolution moisture data space time. Because commonly van Genuchten–Mualemmodel is unsuitable for describing dry...

10.1016/j.jhydrol.2024.131132 article EN cc-by-nc-nd Journal of Hydrology 2024-03-26

In-depth knowledge about soil moisture dynamics is crucial for irrigation management in precision agriculture. This study evaluates the feasibility of high spatial resolution near-infrared remote sensing with unmanned aerial systems estimation to provide decision support management. A new trapezoid model based on transformed reflectance (NTR) and normalized difference vegetation index (NDVI) introduced used mapping root zone plant extractable water. The performance proposed approach was...

10.3390/rs15112736 article EN cc-by Remote Sensing 2023-05-24

Core Ideas SWIR imaging for quantification of soil moisture dynamics is introduced. High spatiotemporal resolution images yield accurate profile. Flux density profiles during water infiltration were quantified with this method. The new technique opens potential avenues hydraulic properties estimation. A novel proximal sensing framework high‐resolution content profile retrieval under laboratory conditions has been developed. Constant‐head upward‐flow experiments conducted a number soils that...

10.2136/vzj2017.09.0167 article EN publisher-specific-oa Vadose Zone Journal 2017-12-01

Abstract Measurements of the soil water characteristic (SWC) and unsaturated hydraulic conductivity [ K ( h )] curves, which are at core modeling flow transport processes in porous media, laborious prone to experimental errors. To overcome some current limitations, we examined potential feasibility shortwave infrared (SWIR) imaging imbibition into dry during a controlled laboratory experiment conjunction with inverse numerical determine wetting SWC ) function. generate time series...

10.1002/vzj2.20089 article EN cc-by-nc-nd Vadose Zone Journal 2021-01-05
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