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Machine Learning Techniques for Downscaling SMOS Satellite Soil Moisture Using MODIS Land Surface Temperature for Hydrological Application
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Comparative assessment of evapotranspiration derived from NCEP and ECMWF global datasets through Weather Research and Forecasting model
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Downscaling temperature and precipitation: a comparison of regression‐based methods and artificial neural networks
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Comparative assessment of soil moisture estimation from land surface model and satellite remote sensing based on catchment water balance
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Applied Multivariate Statistical Analysis
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Ecological monitoring of wetlands in semi-arid region of Konya closed Basin, Turkey
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Discharge Rating Curve Extension – A New Approach
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Error Correction Modelling of Wind Speed Through Hydro-Meteorological Parameters and Mesoscale Model: A Hybrid Approach
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Data Fusion Techniques for Improving Soil Moisture Deficit Using SMOS Satellite and WRF-NOAH Land Surface Model
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Statistical downscaling of GCM simulations to streamflow using relevance vector machine
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Estimating volumetric surface moisture content for cropped soils using a soil wetness index based on surface temperature and NDVI
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Selection of classification techniques for land use/land cover change investigation
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Artificial intelligence techniques for clutter identification with polarimetric radar signatures
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Runoff prediction using an integrated hybrid modelling scheme
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Rainfall–runoff modeling using artificial neural network coupled with singular spectrum analysis
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Calibrating a soil–vegetation–atmosphere transfer model with remote sensing estimates of surface temperature and soil surface moisture in a semi arid environment
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Towards deterministic downscaling of SMOS soil moisture using MODIS derived soil evaporative efficiency
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Validation of AMSR-E soil moisture using L-band airborne radiometer data from National Airborne Field Experiment 2006
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Evaluating land surface moisture conditions from the remotely sensed temperature/vegetation index measurements
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Forecasting with artificial neural networks:
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Calibration of Roughness Parameters Using Rainfall–Runoff Water Balance for Satellite Soil Moisture Retrieval
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Applying Generalized Linear Models
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RVM‐based multi‐class classification of remotely sensed data
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Soil moisture retrieval from space: the Soil Moisture and Ocean Salinity (SMOS) mission
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An artificial neural network approach to transformer fault diagnosis
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Preparing the ESA-SMOS (Soil Moisture and Ocean Salinity) mission - Overview of the User Data Products and Data Distribution Strategy
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An Artificial Neural Network Approach to Transformer Fault Diagnosis
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The NAFE'05/CoSMOS Data Set: Toward SMOS Soil Moisture Retrieval, Downscaling, and Assimilation
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Downscaling SMOS-Derived Soil Moisture Using MODIS Visible/Infrared Data
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The SMOS Soil Moisture Retrieval Algorithm
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Precipitation Scenarios over Iberia: A Comparison between Direct GCM Output and Different Downscaling Techniques
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Linear versus nonlinear techniques in downscaling
inferredcites →https://doi.org/10.3390/s7081612openalex-snapshot
An Overview of the "Triangle Method" for Estimating Surface Evapotranspiration and Soil Moisture from Satellite Imagery
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The PDM rainfall-runoff model
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Error distribution modelling of satellite soil moisture measurements for hydrological applications
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Water Balance Regularised Modelling of Multi‐Depth Soil Moisture Dynamics in Arid Hydrological Systems
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Different Approaches on Digital Mapping of Soil-Landscape Parameters
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Spatial Soil Moisture Prediction Model Over an Agricultural Land
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WRF Dynamical Downscaling and Bias Correction Schemes for NCEP Estimated Hydro-Meteorological Variables
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Reconstructing Monthly ECV Global Soil Moisture with an Improved Spatial Resolution
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Improving the Spatiotemporal Resolution of Soil Moisture through a Synergistic Combination of MODIS and LANDSAT8 Data
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Effect of Distinct Evaluation Objectives on Different Precipitation Downscaling Methods and the Corresponding Potential Impacts on Catchment Runoff Modelling
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Assessment of SMOS soil moisture retrieval parameters using tau–omega algorithms for soil moisture deficit estimation
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2016.02.033openalex-snapshot
Misrepresentation and amendment of soil moisture in conceptual hydrological modelling
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2016.05.052openalex-snapshot
Soil moisture deficit estimation using satellite multi-angle brightness temperature
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2016.10.005openalex-snapshot
Validation and reconstruction of FY-3B/MWRI soil moisture using an artificial neural network based on reconstructed MODIS optical products over the Tibetan Plateau
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2016.10.037openalex-snapshot
Improving daily streamflow forecasts in mountainous Upper Euphrates basin by multi-layer perceptron model with satellite snow products
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2017.12.015openalex-snapshot
A spatial downscaling of soil moisture from rainfall, temperature, and AMSR2 using a Gaussian-mixture nonstationary hidden Markov model
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2019.124420openalex-snapshot
A new soil moisture index driven from an adapted long-term temperature-vegetation scatter plot using MODIS data
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2020.125360openalex-snapshot
A spatial downscaling method for SMAP soil moisture through visible and shortwave-infrared remote sensing data
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2020.125406openalex-snapshot
Comparison of two satellite-based soil moisture reconstruction algorithms: A case study in the state of Oklahoma, USA
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2020.125616openalex-snapshot
Inter-comparison of several soil moisture downscaling methods over the Qinghai-Tibet Plateau, China
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2020.125840openalex-snapshot
Root zone soil moisture estimation with Random Forest
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2022.127570openalex-snapshot
Downscaling of soil moisture products using deep learning: Comparison and analysis on Tibetan Plateau
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2022.129014openalex-snapshot
Inter-comparison and integration of different soil moisture downscaling methods over the Qinghai-Tibet Plateau
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2023.130326openalex-snapshot
Nitrate isotopes in catchment hydrology: Insights, ideas and implications for models
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2024.132397openalex-snapshot
Assessing the influence of model inputs on performance of the EMT + VS soil moisture downscaling model for a large foothills region in Northern Colorado
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2024.132618openalex-snapshot
Estimating maize root zone soil moisture by assimilating high spatiotemporal resolution optical and radar remote sensing into the WOFOST-HYDRUS coupled model
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2025.132900openalex-snapshot
A Transformer-based method to simulate multi-scale soil moisture
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2025.134657openalex-snapshot
A regionalization based machine learning framework for bias correction and downscaling of ESACCI soil moisture in data limited region: A case study over India
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2025.134707openalex-snapshot
Estimating soil moisture at farm scale with high spatial resolution: integrating remote sensing data, and machine learning
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2026.135791openalex-snapshot
A novel fusion framework for generating 30 m daily seamless soil moisture with reliable performance
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2026.135854openalex-snapshot
Progressive scale convolutional network for spatio-temporal downscaling of soil moisture: A case study over the Tibetan Plateau
inferred← citeshttps://doi.org/10.1016/j.jqsrt.2015.03.022openalex-snapshot
Synergistic multi-sensor and multi-frequency retrieval of cloud ice water path constrained by CloudSat collocations
inferred← citeshttps://doi.org/10.1016/j.neunet.2021.11.021openalex-snapshot
Deep neural network enabled corrective source term approach to hybrid analysis and modeling
inferred← citeshttps://doi.org/10.1016/j.pce.2015.01.006openalex-snapshot
Integrating TRMM and MODIS satellite with socio-economic vulnerability for monitoring drought risk over a tropical region of India
inferred← citeshttps://doi.org/10.1016/j.pce.2015.02.009openalex-snapshot
Surface soil moisture retrievals from remote sensing: Current status, products & future trends
inferred← citeshttps://doi.org/10.1016/j.pce.2015.06.002openalex-snapshot
Evaluation of SMOS soil moisture retrievals over the central United States for hydro-meteorological application
inferred← citeshttps://doi.org/10.1016/j.pce.2024.103570openalex-snapshot
Appraisal of Visible/IR and microwave datasets for land surface fluxes estimation using machine learning techniques
inferred← citeshttps://doi.org/10.1016/j.proeng.2016.07.499openalex-snapshot
The Relevance of Soil Moisture by Remote Sensing and Hydrological Modelling
inferred← citeshttps://doi.org/10.1016/j.rse.2018.02.065openalex-snapshot
Spatially enhanced passive microwave derived soil moisture: Capabilities and opportunities
inferred← citeshttps://doi.org/10.1016/j.rse.2020.111716openalex-snapshot
Deep learning in environmental remote sensing: Achievements and challenges
inferred← citeshttps://doi.org/10.1016/j.rse.2020.111740openalex-snapshot
Combining hyper-resolution land surface modeling with SMAP brightness temperatures to obtain 30-m soil moisture estimates
inferred← citeshttps://doi.org/10.1016/j.rse.2020.112028openalex-snapshot
Continental drought monitoring using satellite soil moisture, data assimilation and an integrated drought index
inferred← citeshttps://doi.org/10.1016/j.rse.2021.112377openalex-snapshot
Comparison of gap-filling techniques applied to the CCI soil moisture database in Southern Europe
inferred← citeshttps://doi.org/10.1016/j.rse.2025.114684openalex-snapshot
Two-stage downscaling and correction cascade learning framework for generating long-time series seamless soil moisture
inferred← citeshttps://doi.org/10.1016/j.rse.2025.115167openalex-snapshot
High-resolution surface and rootzone soil moisture over US cropland: A novel framework assimilating multi-source remote sensing data, machine learning, and the Layered Green and Ampt Infiltration with Redistribution model
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2021.145924openalex-snapshot
Estimating catchment scale soil moisture at a high spatial resolution: Integrating remote sensing and machine learning
inferred← citeshttps://doi.org/10.1016/j.srs.2024.100122openalex-snapshot
Spatial downscaling of SMAP radiometer soil moisture using radar data: Application of machine learning to the SMAPEx and SMAPVEX campaigns
inferred← citeshttps://doi.org/10.1029/2018rg000618openalex-snapshot
Ground, Proximal, and Satellite Remote Sensing of Soil Moisture
inferred← citeshttps://doi.org/10.1029/2018wr023354openalex-snapshot
Downscaling SMAP Radiometer Soil Moisture Over the CONUS Using an Ensemble Learning Method
inferred← citeshttps://doi.org/10.1029/2018wr023505openalex-snapshot
A Nonstationary Geostatistical Framework for Soil Moisture Prediction in the Presence of Surface Heterogeneity
inferred← citeshttps://doi.org/10.1029/2019wr024902openalex-snapshot
Gap Filling of High‐Resolution Soil Moisture for SMAP/Sentinel‐1: A Two‐Layer Machine Learning‐Based Framework
inferred← citeshttps://doi.org/10.1029/2020ea001265openalex-snapshot
Downscaling of Satellite Remote Sensing Soil Moisture Products Over the Tibetan Plateau Based on the Random Forest Algorithm: Preliminary Results
inferred← citeshttps://doi.org/10.1029/2020ea001267openalex-snapshot
Downscaling Satellite Retrieved Soil Moisture Using Regression Tree‐Based Machine Learning Algorithms Over Southwest France
inferred← citeshttps://doi.org/10.1029/2020wr029249openalex-snapshot
Regionalizing Root‐Zone Soil Moisture Estimates From ESA CCI Soil Water Index Using Machine Learning and Information on Soil, Vegetation, and Climate
inferred← citeshttps://doi.org/10.1029/2025jd043317openalex-snapshot
Monitoring Daily All‐Sky Evapotranspiration Over the East Asian Continent Using Multi‐Channel Passive Microwave Measurements From Fengyun‐3B Satellite of China
inferred← citeshttps://doi.org/10.1038/s41597-022-01772-xopenalex-snapshot
Global soil moisture data fusion by Triple Collocation Analysis from 2011 to 2018
inferred← citeshttps://doi.org/10.1038/s41597-023-01991-wopenalex-snapshot
A 21-year dataset (2000–2020) of gap-free global daily surface soil moisture at 1-km grid resolution
inferred← citeshttps://doi.org/10.1080/02626667.2017.1364844openalex-snapshot
Estimation of soil water content in watershed using artificial neural networks
inferred← citeshttps://doi.org/10.1080/02626667.2018.1469757openalex-snapshot
Assessment and evaluation of potential climate change impact on monsoon flows using machine learning technique over Wainganga River basin, India
inferred← citeshttps://doi.org/10.1080/07038992.2022.2114891openalex-snapshot
Downscaling CLDAS Soil Moisture Product by Integrating Sentinel-1 and Sentinel-2 Data over Agricultural Area
inferred← citeshttps://doi.org/10.1080/10106049.2018.1520926openalex-snapshot
Evaluating the capabilities of optical/TIR imaging sensing systems for quantifying soil water content
inferred← citeshttps://doi.org/10.1080/10106049.2026.2689867openalex-snapshot
A new vegetation–thermal integrated approach (NNL-SM) for high-resolution soil moisture estimation
inferred← citeshttps://doi.org/10.1080/15481603.2014.983370openalex-snapshot
Expansion of LISS III swath using AWiFS wider swath data and contourlet coefficients learning
inferred← citeshttps://doi.org/10.1080/15481603.2018.1489943openalex-snapshot
Estimation of soil moisture using deep learning based on satellite data: a case study of South Korea
inferred← citeshttps://doi.org/10.1080/19475705.2013.853325openalex-snapshot
A study of waterborne diseases during flooding using Radarsat-2 imagery and a back propagation neural network algorithm
inferred← citeshttps://doi.org/10.1080/19479832.2026.2711995openalex-snapshot
Machine learning-based fusion and downscaling of multi-sensor satellite data for urban heat island analysis in Damascus, Syria
inferred← citeshttps://doi.org/10.1080/20964471.2023.2196830openalex-snapshot
Improving risk reduction potential of weather index insurance by spatially downscaling gridded climate data - a machine learning approach
inferred← citeshttps://doi.org/10.1080/20964471.2023.2257905openalex-snapshot
The synergies of SMAP enhanced and MODIS products in a random forest regression for estimating 1 km soil moisture over Africa using Google Earth Engine
inferred← citeshttps://doi.org/10.1080/2150704x.2014.933277openalex-snapshot
An appraisal of the accuracy of operational soil moisture estimates from SMOS MIRAS using validated in situ observations acquired in a Mediterranean environment
inferred← citeshttps://doi.org/10.1080/2150704x.2014.990643openalex-snapshot
Ice cloud detection from AMSU-A, MHS, and HIRS satellite instruments inferred by cloud profiling radar
inferred← citeshttps://doi.org/10.1088/1748-9326/ac9c1fopenalex-snapshot
Soil moisture-vegetation interaction from near-global in-situ soil moisture measurements
inferred← citeshttps://doi.org/10.1109/access.2025.3576157openalex-snapshot
Stacking Gaussian Process Regression for Soil Moisture Estimation Over the Continental U.S.
inferred← citeshttps://doi.org/10.1109/iciccs67901.2026.11502935openalex-snapshot
The Impact of Soil Moisture and Land Surface Temperature on Crop Yield: A Remote Sensing-Based Machine Learning Approach
inferred← citeshttps://doi.org/10.1109/igarss.2016.7729424openalex-snapshot
SMOS soil moisture downscaling based on back propagation neural network with MODIS LST and EVI
inferred← citeshttps://doi.org/10.1109/igarss.2017.8127505openalex-snapshot
Statistical downscaling of remotely-sensed soil moisture
inferred← citeshttps://doi.org/10.1109/igarss46834.2022.9884432openalex-snapshot
Progress in Time-Series Soil Moisture Retrieval Using L- and S-Band Radar Backscatter
inferred← citeshttps://doi.org/10.1109/igarss52108.2023.10282028openalex-snapshot
A Modified Downscaling Approach To Estimate SMOS Soil Moisture At High Resolution (300 M) Using Copernicus Sentinel 3 NDVI
inferred← citeshttps://doi.org/10.1109/ingarss59135.2023.10490387openalex-snapshot
Quantifying Surface Soil Moisture Variability Through Synergistic Applications of SAR and Machine Learning Techniques
inferred← citeshttps://doi.org/10.1109/isivc.2018.8709165openalex-snapshot
A concept of satellite-based IoT for downscaling the MODIS data to extract Land Surface Temperature
inferred← citeshttps://doi.org/10.1109/jiot.2017.2760338openalex-snapshot
Soil Moisture Retrieval Using UWB Echoes via Fuzzy Logic and Machine Learning
inferred← citeshttps://doi.org/10.1109/jsen.2015.2427657openalex-snapshot
Evaluation of the Soil Moisture Operational Estimates From SMOS in Europe: Results Over Diverse Ecosystems
inferred← citeshttps://doi.org/10.1109/jstars.2014.2372031openalex-snapshot
Evaluation of Dielectric Mixing Models for Passive Microwave Soil Moisture Retrieval Using Data From ComRAD Ground-Based SMAP Simulator
inferred← citeshttps://doi.org/10.1109/jstars.2015.2447532openalex-snapshot
Variational Bayes and the Principal Component Analysis Coupled With Bayesian Regulation Backpropagation Network to Retrieve Total Precipitable Water (TPW) From GCOM-W1/AMSR2
inferred← citeshttps://doi.org/10.1109/jstars.2020.3035386openalex-snapshot
A Machine Learning-Based Geostatistical Downscaling Method for Coarse-Resolution Soil Moisture Products
inferred← citeshttps://doi.org/10.1109/jstars.2022.3165644openalex-snapshot
Thermal Hydraulic Disaggregation of SMAP Soil Moisture Over the Continental United States
inferred← citeshttps://doi.org/10.1109/jstars.2022.3177081openalex-snapshot
A Bayesian Deep Image Prior Downscaling Approach for High-Resolution Soil Moisture Estimation
inferred← citeshttps://doi.org/10.1109/jstars.2022.3216267openalex-snapshot
Investigating the Potential of Downscaling Approaches for SMAP Radiometer Soil Moisture in Agroforestry Areas, China
inferred← citeshttps://doi.org/10.1109/jstars.2024.3450513openalex-snapshot
60-m Resolution Soil Moisture Estimation Based on a Multisensor Feedforward Neural Network Model
inferred← citeshttps://doi.org/10.1109/jstars.2025.3545404openalex-snapshot
A New Flexible Approach for Reconstructing Satellite-Based Land Surface Temperature Images: A Case Study With MODIS Data
inferred← citeshttps://doi.org/10.1109/jstars.2025.3576126openalex-snapshot
A Fusion Strategy for High-Accuracy Multilayer Soil Moisture Downscaling and Mapping
inferred← citeshttps://doi.org/10.1109/jstars.2026.3659926openalex-snapshot
SM-RDC: A Three-Step Downscaling Framework for Daily 1-km Seamless SMAP Product Generation Over the Tibetan Plateau
inferred← citeshttps://doi.org/10.1109/lgrs.2021.3062453openalex-snapshot
A Method for Downscaling Satellite Soil Moisture Based on Land Surface Temperature and Net Surface Shortwave Radiation
inferred← citeshttps://doi.org/10.1109/m2garss57310.2024.10537394openalex-snapshot
Two Disaggregation Algorithms to Estimate Soil Moisture at Moderate (1 km and 300 m) and at High Resolution (60 m): Applications over the North of Africa
inferred← citeshttps://doi.org/10.1109/mgrs.2025.3623398openalex-snapshot
Retrieval Methods for Microwave Remote Sensing of Soil Moisture, Above-Ground Biomass, and Freeze-Thaw Dynamics: A review
inferred← citeshttps://doi.org/10.1109/space65882.2025.11171274openalex-snapshot
High-resolution Soil Moisture Prediction from SMOS using Machine Learning Models
inferred← citeshttps://doi.org/10.1109/tgrs.2015.2462074openalex-snapshot
Spatial Downscaling of Satellite Soil Moisture Data Using a Vegetation Temperature Condition Index
inferred← citeshttps://doi.org/10.1109/tgrs.2017.2722236openalex-snapshot
Spatial Scaling Using Temporal Correlations and Ensemble Learning to Obtain High-Resolution Soil Moisture
inferred← citeshttps://doi.org/10.1109/tgrs.2017.2778420openalex-snapshot
Downscaling AMSR-2 Soil Moisture Data With Geographically Weighted Area-to-Area Regression Kriging
inferred← citeshttps://doi.org/10.1109/tgrs.2019.2941696openalex-snapshot
A Value-Consistent Method for Downscaling SMAP Passive Soil Moisture With MODIS Products Using Self-Adaptive Window
inferred← citeshttps://doi.org/10.1109/tgrs.2019.2944421openalex-snapshot
Spatially Explicit Model for Statistical Downscaling of Satellite Passive Microwave Soil Moisture
inferred← citeshttps://doi.org/10.1109/tgrs.2020.3008015openalex-snapshot
Downscaling Multispectral Satellite Images Without Colocated High-Resolution Data: A Stochastic Approach Based on Training Images
inferred← citeshttps://doi.org/10.1109/tgrs.2022.3187467openalex-snapshot
Impact of Incidence Angle Diversity on SMOS and Sentinel-1 Soil Moisture Retrievals at Coarse and Fine Scales
inferred← citeshttps://doi.org/10.1109/tgrs.2022.3216343openalex-snapshot
Series or Parallel? An Exploration in Coupling Physical Model and Machine Learning Method for Disaggregating Satellite Microwave Soil Moisture
inferred← citeshttps://doi.org/10.1109/tgrs.2022.3227108openalex-snapshot
3-D Bi-directional LSTM for Satellite Soil Moisture Downscaling
inferred← citeshttps://doi.org/10.1109/tgrs.2024.3386967openalex-snapshot
Downscaling Passive Microwave Soil Moisture Estimates Using Stand-Alone Optical Remote Sensing Data
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