HelioWebBinayak P. Mohanty
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A[Binayak P. Mohanty]
AC["Associated Concepts (24)"]
AW["Authored Works (18)"]
CA["Linked Co-Authors (6)"]
CI["Linked Collaborating Institutions (5)"]
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click AW "#authored-works"
click CA "#co-authors"
click CI "#collaborating-institutions"
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- ORCiD
- https://orcid.org/0000-0001-9381-7279
- OpenAlex ID
- https://openalex.org/A5060650862 (API record)
Associated Concepts [?]
- Geology
- Environmental science
- Engineering
- Geotechnical engineering
- Biology
- Soil science
- Ecology
- Geography
- Physics
- Hydrology (agriculture)
- Mathematics
- Soil water
- Chemistry
- Computer science
- Materials science
- Organic chemistry
- Meteorology
- Composite material
- Water content
- Quantum mechanics
- Statistics
- Remote sensing
- Moisture
- Hydraulic conductivity
Authored Works
sorted by decreasing year, and then by display-name
- What Are the Preferential Hydrologic States of Global Surface Soil Moisture?
- Transfer Learning and Predictor Selector Algorithm for Developing a Generalizable Pedo-Transfer Function for Saturated Hydraulic Conductivity
- Temporal Evolution of Global Terrestrial Water-Energy Coupling Dynamics
- Subsurface Variation of Soil Physicochemical Properties and Redox-Sensitive Elements Under Different Land Covers in Gulf Coastal Plains
- Revisiting Soil Hydrology Across Scales - From Point to Remote Sensing Footprint Scale
- Global Coupling of the Terrestrial Water and Carbon Cycles
- Evaluating the Presence of Preferential Flow Using Remote Sensing, Inverse Modeling, and Machine Learning Algorithms
- Enhancing soil moisture predictions across CONUS using Big Data fusion
- Subsurface variation of soil physicochemical properties and redox-sensitive elements under different land covers in Gulf Coastal Plains
- Soil microorganisms regulate extracellular enzyme production to maximize their growth rate
- STARFM-ML: A novel machine learning driven approach to fuse remote sensing data
- Representing the Dupuit-Boussinesq Aquifer in the National Water Model: Catchment-Scale Application of Hydraulic Groundwater Theory
- Machine Learning Based Groundwater Level Predictions Using Dominant Hydrological, Geological, and Climatic factors in Data-scarce Tropical Savanna Region of India
- Introducing An Open-Source Tool for Near-Real-Time Global Flash Drought Monitoring with SMAP
- Exploring Evapotranspiration-Soil Moisture Coupling Relationships from the Eddy Covariance to Satellite Scale
- Evaluating the Presence of Preferential Flow Using Machine Learning Algorithms and Remote Sensing Data
- Carbon-Water-Energy coupling relationships from the field to satellite scale
- A New Method for Effective Parameterization of Catchment-Scale Aquifer
Linked Co-Authors
Linked Collaborating Institutions
- Indian Institute of Technology, Bhubaneswar
- Jet Propulsion Laboratory
- NASA Goddard Space Flight Center, Maryland
- Texas A&M University, College Station
- University of Aberdeen, UK
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