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Evaluating Downscaling Factors of Microwave Satellite Soil Moisture Based on Machine Learning Method
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/2014rg000456openalex-snapshot
Remote sensing of drought: Progress, challenges and opportunities
inferredcites →https://doi.org/10.1002/2016rg000543openalex-snapshot
A review of spatial downscaling of satellite remotely sensed soil moisture
inferredcites →https://doi.org/10.1007/s11269-013-0337-9openalex-snapshot
Machine Learning Techniques for Downscaling SMOS Satellite Soil Moisture Using MODIS Land Surface Temperature for Hydrological Application
inferredcites →https://doi.org/10.1016/j.advwatres.2020.103601openalex-snapshot
Generating high-resolution daily soil moisture by using spatial downscaling techniques: a comparison of six machine learning algorithms
inferredcites →https://doi.org/10.1016/j.agrformet.2018.04.010openalex-snapshot
A phenomenological model of soil evaporative efficiency using surface soil moisture and temperature data
inferredcites →https://doi.org/10.1016/j.isprsjprs.2016.03.011openalex-snapshot
Prediction of high spatio-temporal resolution land surface temperature under cloudy conditions using microwave vegetation index and ANN
inferredcites →https://doi.org/10.1016/j.jhydrol.2009.03.034openalex-snapshot
Runoff prediction using an integrated hybrid modelling scheme
inferredcites →https://doi.org/10.1016/j.jhydrol.2012.06.021openalex-snapshot
A review of the methods available for estimating soil moisture and its implications for water resource management
inferredcites →https://doi.org/10.1016/j.rse.2008.06.012openalex-snapshot
Towards deterministic downscaling of SMOS soil moisture using MODIS derived soil evaporative efficiency
inferredcites →https://doi.org/10.1016/j.rse.2010.05.007openalex-snapshot
An improved algorithm for disaggregating microwave-derived soil moisture based on red, near-infrared and thermal-infrared data
inferredcites →https://doi.org/10.1016/j.rse.2011.02.019openalex-snapshot
Improvements to a MODIS global terrestrial evapotranspiration algorithm
inferredcites →https://doi.org/10.1016/j.rse.2017.12.010openalex-snapshot
Creating a seamless 1 km resolution daily land surface temperature dataset for urban and surrounding areas in the conterminous United States
inferredcites →https://doi.org/10.1016/j.rse.2020.111716openalex-snapshot
Deep learning in environmental remote sensing: Achievements and challenges
inferredcites →https://doi.org/10.1029/2006jd007507openalex-snapshot
A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing: 2. Surface moisture climatology
inferredcites →https://doi.org/10.1029/2018rg000618openalex-snapshot
Ground, Proximal, and Satellite Remote Sensing of Soil Moisture
inferredcites →https://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
inferredcites →https://doi.org/10.1029/92jd01411openalex-snapshot
A bidirectional reflectance model of the Earth's surface for the correction of remote sensing data
inferredcites →https://doi.org/10.1080/0143116031000156837openalex-snapshot
Spaceborne soil moisture estimation at high resolution: a microwave-optical/IR synergistic approach
inferredcites →https://doi.org/10.1080/01431161.2013.860659openalex-snapshot
A new agricultural drought monitoring index combining MODIS NDWI and day–night land surface temperatures: a case study in China
inferredcites →https://doi.org/10.1109/jstars.2019.2901921openalex-snapshot
Microwave and Meteorological Fusion: A method of Spatial Downscaling of Remotely Sensed Soil Moisture
inferredcites →https://doi.org/10.1109/tgrs.2002.807008openalex-snapshot
Observations of soil moisture using a passive and active low-frequency microwave airborne sensor during SGP99
inferredcites →https://doi.org/10.1109/tgrs.2010.2089526openalex-snapshot
An Algorithm for Merging SMAP Radiometer and Radar Data for High-Resolution Soil-Moisture Retrieval
inferredcites →https://doi.org/10.1109/tgrs.2011.2161318openalex-snapshot
Improving Spatial Soil Moisture Representation Through Integration of AMSR-E and MODIS Products
inferredcites →https://doi.org/10.1109/tgrs.2011.2175000openalex-snapshot
Disaggregation of SMOS Soil Moisture in Southeastern Australia
inferredcites →https://doi.org/10.1109/tgrs.2015.2462074openalex-snapshot
Spatial Downscaling of Satellite Soil Moisture Data Using a Vegetation Temperature Condition Index
inferredcites →https://doi.org/10.2136/sssaj2013.03.0093openalex-snapshot
State of the Art in Large-Scale Soil Moisture Monitoring
inferredcites →https://doi.org/10.2136/vzj2007.0143openalex-snapshot
Soil Moisture Measurement for Ecological and Hydrological Watershed‐Scale Observatories: A Review
inferredcites →https://doi.org/10.2136/vzj2012.0170openalex-snapshot
Characterizing Coarse‐Scale Representativeness of in situ Soil Moisture Measurements from the International Soil Moisture Network
inferredcites →https://doi.org/10.2166/nh.2007.029openalex-snapshot
Operational readiness of microwave remote sensing of soil moisture for hydrologic applications
inferredcites →https://doi.org/10.3390/rs11222596openalex-snapshot
Deriving Field Scale Soil Moisture from Satellite Observations and Ground Measurements in a Hilly Agricultural Region
inferredcites →https://doi.org/10.3390/rs12030455openalex-snapshot
A Soil Moisture Spatial and Temporal Resolution Improving Algorithm Based on Multi-Source Remote Sensing Data and GRNN Model
inferredcites →https://doi.org/10.3390/rs12060980openalex-snapshot
DSCALE_mod16: A Model for Disaggregating Microwave Satellite Soil Moisture with Land Surface Evapotranspiration Products and Gridded Meteorological Data
inferredcites →https://doi.org/10.3390/rs9020103openalex-snapshot
Validation of Spaceborne and Modelled Surface Soil Moisture Products with Cosmic-Ray Neutron Probes
inferredcites →https://doi.org/10.3390/rs9111168openalex-snapshot
Temporal and Spatial Comparison of Agricultural Drought Indices from Moderate Resolution Satellite Soil Moisture Data over Northwest Spain
inferredcites →https://doi.org/10.3390/s19051247openalex-snapshot
Spatial Evaluation of Soil Moisture (SM), Land Surface Temperature (LST), and LST-Derived SM Indexes Dynamics during SMAPVEX12
inferredcites →https://doi.org/10.5194/hess-15-1675-2011openalex-snapshot
The International Soil Moisture Network: a data hosting facility for global in situ soil moisture measurements
inferredcites →https://doi.org/10.5194/hess-19-4765-2015openalex-snapshot
Evaluation of soil moisture downscaling using a simple thermal-based proxy – the REMEDHUS network (Spain) example
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4758452openalex-extracted
Understanding the Differences in Various Satellite Remotely Sensed Soil Moisture Downscaling Methods
inferred← citeshttps://doi.org/10.1002/eco.2460openalex-snapshot
The use of remote sensing indices to understand flood‐recharged soil moisture impacts on trees in semi‐arid floodplains: A review
inferred← citeshttps://doi.org/10.1002/vzj2.70107openalex-snapshot
Roadmap for leveraging satellite data to advance soil moisture monitoring in Mainland Southeast Asia
inferred← citeshttps://doi.org/10.1007/s41748-026-01031-8openalex-snapshot
SMAP Soil Moisture Downscaling Via Multimodal Data Fusion and Machine Learning
inferred← citeshttps://doi.org/10.1016/j.agwat.2022.108063openalex-snapshot
A pixel-wise calculation of soil evaporative efficiency with thermal/optical remote sensing and meteorological reanalysis data for downscaling microwave soil moisture
inferred← citeshttps://doi.org/10.1016/j.agwat.2025.109457openalex-snapshot
High spatio-temporal resolution soil moisture nowcasting at multiple depths with data-driven approaches
inferred← citeshttps://doi.org/10.1016/j.eiar.2023.107073openalex-snapshot
Impact of crop types and irrigation on soil moisture downscaling in water-stressed cropland regions
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2023.12.011openalex-snapshot
Deep learning in statistical downscaling for deriving high spatial resolution gridded meteorological data: A systematic review
inferred← citeshttps://doi.org/10.1016/j.jafr.2024.101473openalex-snapshot
Advanced technologies of soil moisture monitoring in precision agriculture: A Review
inferred← citeshttps://doi.org/10.1016/j.jag.2024.104290openalex-snapshot
PhySoilNet: A deep learning downscaling model for microwave satellite soil moisture with physical rule constraint
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2022.127926openalex-snapshot
Estimation of high-resolution precipitation using downscaled satellite soil moisture and SM2RAIN approach
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2022.128709openalex-snapshot
Improving spatial resolution of satellite soil water index (SWI) maps under clear-sky conditions using a machine learning approach
inferred← citeshttps://doi.org/10.1016/j.rse.2025.114918openalex-snapshot
Spectral indices in remote sensing of soil: definition, popularity, and issues. A critical overview
inferred← citeshttps://doi.org/10.1029/2022wr031946openalex-snapshot
A Remote Sensing Driven Soil Moisture Estimator: Uncertain Downscaling With Geostatistically Based Use of Ancillary Data
inferred← citeshttps://doi.org/10.1061/9780784484258.005openalex-snapshot
A Platform for Soil Moisture Estimation Using Satellite Data: Station Screening
inferred← citeshttps://doi.org/10.1080/10106049.2022.2060313openalex-snapshot
Effects of the new Priestly-Taylor equation on determining the boundary of LST/FVC space for soil moisture monitoring
inferred← citeshttps://doi.org/10.1080/15481603.2023.2257469openalex-snapshot
Agricultural drought dynamics in China during 1982–2020: a depiction with satellite remotely sensed soil moisture
inferred← citeshttps://doi.org/10.1080/22797254.2022.2156931openalex-snapshot
GNSS-R monitoring of soil moisture dynamics in areas of severe drought: example of Dahra in the Sahelian climatic zone (Senegal)
inferred← citeshttps://doi.org/10.1109/igarss46834.2022.9884333openalex-snapshot
SMAP Science and Application Results
inferred← citeshttps://doi.org/10.1109/igarss52108.2023.10283371openalex-snapshot
A New Approach for Downscaling Soil Moisture by Merging Conditional Adversarial Networks and Physics-Based Passive Microwave Retrieval
inferred← citeshttps://doi.org/10.1109/jstars.2023.3298946openalex-snapshot
Enhanced Generalized Regression Neural Network With Backward Sequential Feature Selection for Machine-Learning-Driven Soil Moisture Estimation: A Case Study Over the Qinghai-Tibet Plateau
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/10.3390/horticulturae11050492openalex-snapshot
Non-Linear Models for Assessing Soil Moisture Estimation
inferred← citeshttps://doi.org/10.3390/hydrology11110183openalex-snapshot
Applications of Machine Learning and Remote Sensing in Soil and Water Conservation
inferred← citeshttps://doi.org/10.3390/rs13142848openalex-snapshot
Evaluating Machine Learning and Geostatistical Methods for Spatial Gap-Filling of Monthly ESA CCI Soil Moisture in China
inferred← citeshttps://doi.org/10.3390/rs13224638openalex-snapshot
Optical Remote Sensing Indexes of Soil Moisture: Evaluation and Improvement Based on Aircraft Experiment Observations
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Enhancing Spatial Resolution of SMAP Soil Moisture Products through Spatial Downscaling over a Large Watershed: A Case Study for the Susquehanna River Basin in the Northeastern United States
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Spatial Downscaling and Gap-Filling of SMAP Soil Moisture to High Resolution Using MODIS Surface Variables and Machine Learning Approaches over ShanDian River Basin, China
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Spatial Downscaling of Satellite-Based Soil Moisture Products Using Machine Learning Techniques: A Review
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Estimating and Downscaling ESA-CCI Soil Moisture Using Multi-Source Remote Sensing Images and Stacking-Based Ensemble Learning Algorithms in the Shandian River Basin, China
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Approaches for Assessment of Soil Moisture with Conventional Methods, Remote Sensing, UAV, and Machine Learning Methods—A Review
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GSSM: A global seamless soil moisture dataset from 1981 to 2022 matching CCI to SMAP with a novel bias correction method
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The International Soil Moisture Network: serving Earth system science for over a decade
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Soil moisture mapping using machine learning technique
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