Research graph
References from Comparing Irrigation Identification Methods in Colorado: Limitations of Downscaled SMAP Soil Moisture. Local targets link to admitted publications; unresolved targets remain external evidence.
A Holistic View of Global Croplands and Their Water Use for Ensuring Global Food Security in the 21st Century through Advanced Remote Sensing and Non-Remote Sensing Approaches
10.3390/rs2010211 · 2010 · External reference
Widely Cited Global Irrigation Statistics Lack Empirical Support
10.1093/pnasnexus/pgaf323 · 2025 · External reference
Impact of Groundwater Overextraction and Agricultural Irrigation on Hydrological Processes in an Inland Arid Basin
10.1016/j.jhydrol.2025.132770 · 2025 · External reference
Global Agricultural Water Scarcity Assessment Incorporating Blue and Green Water Availability Under Future Climate Change
10.1029/2021ef002567 · 2022 · External reference
10.3390/rs13204112
10.3390/rs13204112 · External reference
How Accurately Can We Retrieve Irrigation Timing and Water Amounts from (Satellite) Soil Moisture?
2022 · External reference
On the Estimation of Antecedent Wetness Conditions in Rainfall–Runoff Modelling
10.1002/hyp.6629 · 2008 · External reference
Soil as a Natural Rain Gauge: Estimating Global Rainfall from Satellite Soil Moisture Data
10.1002/2014jd021489 · 2014 · External reference
Irrigation Signals Detected from SMAP Soil Moisture Retrievals
10.1002/2017gl075733 · 2017 · External reference
Evaluation of SMAP/Sentinel 1 High-Resolution Soil Moisture Data to Detect Irrigation Over Agricultural Domain
10.1109/jstars.2021.3119228 · 2021 · External reference
10.3390/rs13091727
10.3390/rs13091727 · External reference
Assessing How Irrigation Practices and Soil Moisture Affect Crop Growth through Monitoring Sentinel-1 and Sentinel-2 Data
10.1007/s10661-023-11871-w · 2023 · External reference
Mapping Irrigated Areas in Afghanistan over the Past Decade Using MODIS NDVI
10.1016/j.rse.2014.04.008 · 2014 · External reference
Detecting and Mapping Irrigated Areas in a Mediterranean Environment by Using Remote Sensing Soil Moisture and a Land Surface Model
10.1016/j.jhydrol.2021.126129 · 2021 · External reference
K-Means Clustering Algorithms: A Comprehensive Review, Variants Analysis, and Advances in the Era of Big Data
10.1016/j.ins.2022.11.139 · 2023 · External reference
Utilizing SMAP Soil Moisture Data to Constrain Irrigation in the Community Land Model
10.1029/2018gl080870 · 2018 · External reference
Irrigation Characterization Improved by the Direct Use of SMAP Soil Moisture Anomalies within a Data Assimilation System
10.1088/1748-9326/ac7f49 · 2022 · External reference
10.1029/2011ms00045
10.1029/2011ms00045 · External reference
Estimating Irrigation Water Use over the Contiguous United States by Combining Satellite and Reanalysis Soil Moisture Data
10.5194/hess-23-897-2019 · 2019 · External reference
How Much Water Is Used for Irrigation? A New Approach Exploiting Coarse Resolution Satellite Soil Moisture Products
2018 · External reference
Is It Possible to Quantify Irrigation Water-Use by Assimilating a High-Resolution Satellite Soil Moisture Product?
10.1029/2022wr033342 · 2023 · External reference
10.3390/rs17040708
10.3390/rs17040708 · External reference
Remote Sensing of Soil Moisture
2013 · External reference
10.3390/rs14153741
10.3390/rs14153741 · External reference
A Roadmap for High-Resolution Satellite Soil Moisture Applications—Confronting Product Characteristics with User Requirements
10.1016/j.rse.2020.112162 · 2021 · External reference
A Soil Moisture Experiment for Validating High-Resolution Satellite Products and Monitoring Irrigation at Agricultural Field Scale
10.1016/j.agwat.2024.109071 · 2024 · External reference
10.3390/agronomy15122788
10.3390/agronomy15122788 · External reference
10.1007/978-3-031-63430-7
10.1007/978-3-031-63430-7 · External reference
10.3390/rs16122067
10.3390/rs16122067 · External reference
Downscaling SMAP Soil Moisture Estimation with Gradient Boosting Decision Tree Regression over the Tibetan Plateau
10.1016/j.rse.2019.02.022 · 2019 · External reference
A Spatial Downscaling Method for SMAP Soil Moisture through Visible and Shortwave-Infrared Remote Sensing Data
10.1016/j.jhydrol.2020.125360 · 2020 · External reference
A Global 400-m High-Resolution Soil Moisture Dataset Derived from Multi-Sensor Remote Sensing Observations
10.1038/s41597-025-06356-z · 2025 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
The Climate Hazards Infrared Precipitation with Stations—A New Environmental Record for Monitoring Extremes
10.1038/sdata.2015.66 · 2015 · External reference
A Global Framework for Subsurface Soil Moisture Estimation: Coupling Fractal Richards Equation with Bayesian Optimization
10.1016/j.rse.2026.115318 · 2026 · External reference
A Global 1-Km Downscaled SMAP Soil Moisture Product Based on Thermal Inertia Theory
10.1002/vzj2.20182 · 2022 · External reference
Unresolved reference
External reference
SMAP Soil Moisture Drying More Rapid than Observed in Situ Following Rainfall Events
10.1002/2016gl069946 · 2016 · External reference
Uncertainty and Performance of Remote Sensing-Based Irrigation Water Use Estimates
10.1016/j.agwat.2026.110444 · 2026 · External reference
Double-Scale Analysis on the Detectability of Irrigation Signals from Remote Sensing Soil Moisture over an Area with Complex Topography in Central Italy
10.1016/j.advwatres.2022.104130 · 2022 · External reference
The SURFEXv7.2 Land and Ocean Surface Platform for Coupled or Offline Simulation of Earth Surface Variables and Fluxes
10.5194/gmd-6-929-2013 · 2013 · External reference
Passive Microwave Soil Moisture Downscaling Using Vegetation Index and Skin Surface Temperature
10.2136/vzj2013.05.0089er · 2013 · External reference
10.3390/rs10101575
10.3390/rs10101575 · External reference
Downscaling of SMAP Soil Moisture Using Land Surface Temperature and Vegetation Data
10.2136/vzj2017.11.0198 · 2018 · External reference
10.3390/w12010056
10.3390/w12010056 · External reference
Unresolved reference
External reference
Validation of High-Resolution Surface Soil Moisture Time Series Retrieved by Means of SAR Interferometry
10.1016/j.rse.2026.115266 · 2026 · External reference
A 1 Km Soil Moisture Dataset over Eastern CONUS Generated by Assimilating SMAP Data into the Noah-MP Land Surface Model
10.5194/essd-17-4587-2025 · 2025 · External reference
Downscaling SMAP Soil Moisture Product in Cold and Arid Region: Incorporating NDSI and BSI into the Random Forest Algorithm
10.1002/vzj2.20323 · 2024 · External reference
High Resolution (1-Km) Surface Soil Moisture Generation from SMAP SSM by Considering Its Difference between Freezing and Thawing Periods in the Source Region of the Yellow River
10.1016/j.agrformet.2024.110263 · 2024 · External reference
10.2139/ssrn.6481482
10.2139/ssrn.6481482 · External reference
The Value of Satellite Remote Sensing Soil Moisture Data and the DISPATCH Algorithm in Irrigation Fields
10.5194/hess-22-5889-2018 · 2018 · External reference
10.3390/s17091966
10.3390/s17091966 · External reference
High-Resolution Surface Soil Moisture Retrieval: A Hybrid Machine Learning Framework Integrating Change Detection and Downscaling for Precision Water Management
2025 · External reference
Soil as a Natural Rain Gauge: Estimating Global Rainfall from Satellite Soil Moisture Data
10.1002/2014jd021489 · ExternalCitation · doi-reference
SMAP Soil Moisture Drying More Rapid than Observed in Situ Following Rainfall Events
10.1002/2016gl069946 · ExternalCitation · doi-reference
Irrigation Signals Detected from SMAP Soil Moisture Retrievals
10.1002/2017gl075733 · ExternalCitation · doi-reference
On the Estimation of Antecedent Wetness Conditions in Rainfall–Runoff Modelling
10.1002/hyp.6629 · ExternalCitation · doi-reference
A Global 1-Km Downscaled SMAP Soil Moisture Product Based on Thermal Inertia Theory
10.1002/vzj2.20182 · ExternalCitation · doi-reference
Downscaling SMAP Soil Moisture Product in Cold and Arid Region: Incorporating NDSI and BSI into the Random Forest Algorithm
10.1002/vzj2.20323 · ExternalCitation · doi-reference
10.1007/978-3-031-63430-7
10.1007/978-3-031-63430-7 · ExternalCitation · doi-reference
Assessing How Irrigation Practices and Soil Moisture Affect Crop Growth through Monitoring Sentinel-1 and Sentinel-2 Data
10.1007/s10661-023-11871-w · ExternalCitation · doi-reference
Double-Scale Analysis on the Detectability of Irrigation Signals from Remote Sensing Soil Moisture over an Area with Complex Topography in Central Italy
10.1016/j.advwatres.2022.104130 · ExternalCitation · doi-reference
High Resolution (1-Km) Surface Soil Moisture Generation from SMAP SSM by Considering Its Difference between Freezing and Thawing Periods in the Source Region of the Yellow River
10.1016/j.agrformet.2024.110263 · ExternalCitation · doi-reference
A Soil Moisture Experiment for Validating High-Resolution Satellite Products and Monitoring Irrigation at Agricultural Field Scale
10.1016/j.agwat.2024.109071 · ExternalCitation · doi-reference
Uncertainty and Performance of Remote Sensing-Based Irrigation Water Use Estimates
10.1016/j.agwat.2026.110444 · ExternalCitation · doi-reference
K-Means Clustering Algorithms: A Comprehensive Review, Variants Analysis, and Advances in the Era of Big Data
10.1016/j.ins.2022.11.139 · ExternalCitation · doi-reference
A Spatial Downscaling Method for SMAP Soil Moisture through Visible and Shortwave-Infrared Remote Sensing Data
10.1016/j.jhydrol.2020.125360 · ExternalCitation · doi-reference
Detecting and Mapping Irrigated Areas in a Mediterranean Environment by Using Remote Sensing Soil Moisture and a Land Surface Model
10.1016/j.jhydrol.2021.126129 · ExternalCitation · doi-reference
Impact of Groundwater Overextraction and Agricultural Irrigation on Hydrological Processes in an Inland Arid Basin
10.1016/j.jhydrol.2025.132770 · ExternalCitation · doi-reference
Mapping Irrigated Areas in Afghanistan over the Past Decade Using MODIS NDVI
10.1016/j.rse.2014.04.008 · ExternalCitation · doi-reference
Downscaling SMAP Soil Moisture Estimation with Gradient Boosting Decision Tree Regression over the Tibetan Plateau
10.1016/j.rse.2019.02.022 · ExternalCitation · doi-reference
A Roadmap for High-Resolution Satellite Soil Moisture Applications—Confronting Product Characteristics with User Requirements
10.1016/j.rse.2020.112162 · ExternalCitation · doi-reference
Validation of High-Resolution Surface Soil Moisture Time Series Retrieved by Means of SAR Interferometry
10.1016/j.rse.2026.115266 · ExternalCitation · doi-reference
A Global Framework for Subsurface Soil Moisture Estimation: Coupling Fractal Richards Equation with Bayesian Optimization
10.1016/j.rse.2026.115318 · ExternalCitation · doi-reference
10.1029/2011ms00045
10.1029/2011ms00045 · ExternalCitation · doi-reference
Utilizing SMAP Soil Moisture Data to Constrain Irrigation in the Community Land Model
10.1029/2018gl080870 · ExternalCitation · doi-reference
Global Agricultural Water Scarcity Assessment Incorporating Blue and Green Water Availability Under Future Climate Change
10.1029/2021ef002567 · ExternalCitation · doi-reference
Is It Possible to Quantify Irrigation Water-Use by Assimilating a High-Resolution Satellite Soil Moisture Product?
10.1029/2022wr033342 · ExternalCitation · doi-reference
A Global 400-m High-Resolution Soil Moisture Dataset Derived from Multi-Sensor Remote Sensing Observations
10.1038/s41597-025-06356-z · ExternalCitation · doi-reference
The Climate Hazards Infrared Precipitation with Stations—A New Environmental Record for Monitoring Extremes
10.1038/sdata.2015.66 · ExternalCitation · doi-reference
Irrigation Characterization Improved by the Direct Use of SMAP Soil Moisture Anomalies within a Data Assimilation System
10.1088/1748-9326/ac7f49 · ExternalCitation · doi-reference
Widely Cited Global Irrigation Statistics Lack Empirical Support
10.1093/pnasnexus/pgaf323 · ExternalCitation · doi-reference
Evaluation of SMAP/Sentinel 1 High-Resolution Soil Moisture Data to Detect Irrigation Over Agricultural Domain
10.1109/jstars.2021.3119228 · ExternalCitation · doi-reference
Passive Microwave Soil Moisture Downscaling Using Vegetation Index and Skin Surface Temperature
10.2136/vzj2013.05.0089er · ExternalCitation · doi-reference
Downscaling of SMAP Soil Moisture Using Land Surface Temperature and Vegetation Data
10.2136/vzj2017.11.0198 · ExternalCitation · doi-reference
10.2139/ssrn.6481482
10.2139/ssrn.6481482 · ExternalCitation · doi-reference
10.3390/agronomy15122788
10.3390/agronomy15122788 · ExternalCitation · doi-reference
10.3390/rs10101575
10.3390/rs10101575 · ExternalCitation · doi-reference
10.3390/rs13091727
10.3390/rs13091727 · ExternalCitation · doi-reference
10.3390/rs13204112
10.3390/rs13204112 · ExternalCitation · doi-reference
10.3390/rs14153741
10.3390/rs14153741 · ExternalCitation · doi-reference
10.3390/rs16122067
10.3390/rs16122067 · ExternalCitation · doi-reference
10.3390/rs17040708
10.3390/rs17040708 · ExternalCitation · doi-reference
A Holistic View of Global Croplands and Their Water Use for Ensuring Global Food Security in the 21st Century through Advanced Remote Sensing and Non-Remote Sensing Approaches
10.3390/rs2010211 · ExternalCitation · doi-reference
10.3390/s17091966
10.3390/s17091966 · ExternalCitation · doi-reference
10.3390/w12010056
10.3390/w12010056 · ExternalCitation · doi-reference
A 1 Km Soil Moisture Dataset over Eastern CONUS Generated by Assimilating SMAP Data into the Noah-MP Land Surface Model
10.5194/essd-17-4587-2025 · ExternalCitation · doi-reference
The SURFEXv7.2 Land and Ocean Surface Platform for Coupled or Offline Simulation of Earth Surface Variables and Fluxes
10.5194/gmd-6-929-2013 · ExternalCitation · doi-reference
The Value of Satellite Remote Sensing Soil Moisture Data and the DISPATCH Algorithm in Irrigation Fields
10.5194/hess-22-5889-2018 · ExternalCitation · doi-reference
Estimating Irrigation Water Use over the Contiguous United States by Combining Satellite and Reanalysis Soil Moisture Data
10.5194/hess-23-897-2019 · ExternalCitation · doi-reference
