E
Ebrahim Babaeian
Researcher at University of Arizona
Publications - 25
Citations - 955
Ebrahim Babaeian is an academic researcher from University of Arizona. The author has contributed to research in topics: Water content & Soil water. The author has an hindex of 11, co-authored 22 publications receiving 509 citations. Previous affiliations of Ebrahim Babaeian include Tarbiat Modares University.
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Journal ArticleDOI
Ground, Proximal, and Satellite Remote Sensing of Soil Moisture
Ebrahim Babaeian,Morteza Sadeghi,Scott B. Jones,Carsten Montzka,Harry Vereecken,Markus Tuller +5 more
TL;DR: Soil moisture (SM) is a key hydrologic state variable that is of significant importance for numerous Earth and environmental science applications that directly impact the global environment and human society.
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The optical trapezoid model: A novel approach to remote sensing of soil moisture applied to Sentinel-2 and Landsat-8 observations
TL;DR: In this paper, the authors proposed a novel OPtical TRApezoid Model (OPTRAM), which is based on the linear physical relationship between soil moisture and shortwave infrared transformed reflectance (STR ) and is parameterized based on pixel distribution within the STR - VI space.
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Mapping soil moisture with the OPtical TRApezoid Model (OPTRAM) based on long-term MODIS observations
TL;DR: In this article, the MODIS-OPTRAM-based soil moisture estimates are evaluated for a range of climatic conditions (semi-arid to humid), soil types, and land covers, and can potentially be applied for agricultural drought monitoring.
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A Comparative Study of Multiple Approaches for Predicting the Soil–Water Retention Curve: Hyperspectral Information vs. Basic Soil Properties
Ebrahim Babaeian,Mehdi Homaee,Harry Vereecken,Carsten Montzka,Ali Akbar Norouzi,Martinus Th. van Genuchten +5 more
TL;DR: In this article, the authors developed point and parametric transfer functions based on the van Genuchten (VG) and Brooks-Corey (BC) soil hydraulic models to predict soil hydraulic properties using soil spectral data.
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Towards Retrieving Soil Hydraulic Properties by Hyperspectral Remote Sensing
TL;DR: In this article, the authors developed spectrotransfer functions that relate soil hydraulic properties (SHPs) to spectral reflectance values to estimate hydraulic parameters of the Mualem-van Genuchten (MvG) model.