On the public citation graph
Soil Moisture Data Assimilation to Estimate Irrigation Water Use
0 signed · 179 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/2017gl073904openalex-snapshot
Joint Sentinel‐1 and SMAP data assimilation to improve soil moisture estimates
inferredcites →https://doi.org/10.1002/2017gl074071openalex-snapshot
Annual Irrigation Dynamics in the U.S. Northern High Plains Derived from Landsat Satellite Data
inferredcites →https://doi.org/10.1002/2017gl075733openalex-snapshot
Irrigation Signals Detected From SMAP Soil Moisture Retrievals
inferredcites →https://doi.org/10.1002/2017wr020700openalex-snapshot
Investigating water use over the C hoptank R iver W atershed using a multisatellite data fusion approach
inferredcites →https://doi.org/10.1002/hyp.10365openalex-snapshot
Evaluation of irrigation water use efficiency using remote sensing in the middle reach of the Heihe river, in the semi‐arid Northwestern China
inferredcites →https://doi.org/10.1007/s00382-004-0402-4openalex-snapshot
Direct human influence of irrigation on atmospheric water vapour and climate
inferredcites →https://doi.org/10.1007/s11269-006-3087-0openalex-snapshot
Changes in Summer Irrigated Crop Area and Water Use in Southeastern Turkey from 1993 to 2002: Implications for Current and Future Water Resources
inferredcites →https://doi.org/10.1007/s11334-007-0028-xopenalex-snapshot
High-performance Earth system modeling with NASA/GSFC’s Land Information System
inferredcites →https://doi.org/10.1016/0002-1571(67)90028-3openalex-snapshot
Net losses in sprinkler irrigation
inferredcites →https://doi.org/10.1016/j.advwatres.2012.04.002openalex-snapshot
Hydrologic data assimilation using particle Markov chain Monte Carlo simulation: Theory, concepts and applications
inferredcites →https://doi.org/10.1016/j.advwatres.2015.05.017openalex-snapshot
A particle batch smoother for soil moisture estimation using soil temperature observations
inferredcites →https://doi.org/10.1016/j.agwat.2008.07.004openalex-snapshot
The effects of irrigation methods with effluent and irrigation scheduling on water use efficiency and corn yields in an arid region
inferredcites →https://doi.org/10.1016/j.agwat.2010.03.017openalex-snapshot
Estimating actual irrigation application by remotely sensed evapotranspiration observations
inferredcites →https://doi.org/10.1016/j.envsoft.2005.07.004openalex-snapshot
Land information system: An interoperable framework for high resolution land surface modeling
inferredcites →https://doi.org/10.1016/j.fcr.2017.05.026openalex-snapshot
Optimizing water use efficiency and economic return of super high yield spring maize under drip irrigation and plastic mulching in arid areas of China
inferredcites →https://doi.org/10.1016/j.jag.2015.01.014openalex-snapshot
Global rain-fed, irrigated, and paddy croplands: A new high resolution map derived from remote sensing, crop inventories and climate data
inferredcites →https://doi.org/10.1016/j.jag.2018.08.023openalex-snapshot
How much water is used for irrigation? A new approach exploiting coarse resolution satellite soil moisture products
inferredcites →https://doi.org/10.1016/j.jhydrol.2005.09.028openalex-snapshot
Effects of irrigation on the water and energy balances of the Colorado and Mekong river basins
inferredcites →https://doi.org/10.1016/j.jhydrol.2019.03.088openalex-snapshot
Improvement of land surface model simulations over India via data assimilation of satellite-based soil moisture products
inferredcites →https://doi.org/10.1016/j.rse.2004.12.018openalex-snapshot
Ganges and Indus river basin land use/land cover (LULC) and irrigated area mapping using continuous streams of MODIS data
inferredcites →https://doi.org/10.1016/j.rse.2008.04.010openalex-snapshot
A new methodology to map irrigated areas using multi-temporal MODIS and ancillary data: An application example in the continental US
inferredcites →https://doi.org/10.1016/j.rse.2015.02.002openalex-snapshot
A global comparison of alternate AMSR2 soil moisture products: Why do they differ?
inferredcites →https://doi.org/10.1016/j.rse.2015.06.025openalex-snapshot
SMOS soil moisture assimilation for improved hydrologic simulation in the Murray Darling Basin, Australia
inferredcites →https://doi.org/10.1016/j.rse.2016.02.046openalex-snapshot
Comparison of remote sensing and simulated soil moisture datasets in Mediterranean landscapes
inferredcites →https://doi.org/10.1016/j.rse.2017.01.021openalex-snapshot
Validation of SMAP surface soil moisture products with core validation sites
inferredcites →https://doi.org/10.1016/j.rse.2017.08.025openalex-snapshot
Development and assessment of the SMAP enhanced passive soil moisture product
inferredcites →https://doi.org/10.1016/j.rse.2017.10.016openalex-snapshot
Information theoretic evaluation of satellite soil moisture retrievals
inferredcites →https://doi.org/10.1016/j.rse.2018.05.008openalex-snapshot
Global-scale evaluation of SMAP, SMOS and ASCAT soil moisture products using triple collocation
inferredcites →https://doi.org/10.1016/j.rse.2019.111226openalex-snapshot
Quantification of irrigation water using remote sensing of soil moisture in a semi-arid region
inferredcites →https://doi.org/10.1029/2001wr000854openalex-snapshot
Influence of spatial resolution on simulated streamflow in a macroscale hydrologic model
inferredcites →https://doi.org/10.1029/2003gl018024openalex-snapshot
Integrated parameterization of irrigation in the land surface model ORCHIDEE. Validation over Indian Peninsula
inferredcites →https://doi.org/10.1029/2005wr004093openalex-snapshot
Particle filtering and ensemble Kalman filtering for state updating with hydrological conceptual rainfall‐runoff models
inferredcites →https://doi.org/10.1029/2006wr005449openalex-snapshot
Correcting for forecast bias in soil moisture assimilation with the ensemble Kalman filter
inferredcites →https://doi.org/10.1029/2007gl029450openalex-snapshot
Estimating precipitation errors using spaceborne surface soil moisture retrievals
inferredcites →https://doi.org/10.1029/2007gl031986openalex-snapshot
Contribution of soil moisture retrievals to land data assimilation products
inferredcites →https://doi.org/10.1029/2008gb003435openalex-snapshot
MIRCA2000—Global monthly irrigated and rainfed crop areas around the year 2000: A new high‐resolution data set for agricultural and hydrological modeling
inferredcites →https://doi.org/10.1029/2008gl035296openalex-snapshot
Global irrigation water demand: Variability and uncertainties arising from agricultural and climate data sets
inferredcites →https://doi.org/10.1029/2010gl046442openalex-snapshot
Satellites measure recent rates of groundwater depletion in California's Central Valley
inferredcites →https://doi.org/10.1029/2010wr010261openalex-snapshot
A comparison of methods for a priori bias correction in soil moisture data assimilation
inferredcites →https://doi.org/10.1029/2011jd016048openalex-snapshot
Continental‐scale water and energy flux analysis and validation for the North American Land Data Assimilation System project phase 2 (NLDAS‐2): 1. Intercomparison and application of model products
inferredcites →https://doi.org/10.1029/2011wr010576openalex-snapshot
Correcting rainfall using satellite‐based surface soil moisture retrievals: The Soil Moisture Analysis Rainfall Tool (SMART)
inferredcites →https://doi.org/10.1029/2018wr023400openalex-snapshot
Particle Filter Data Assimilation of Monthly Snow Depth Observations Improves Estimation of Snow Density and SWE
inferredcites →https://doi.org/10.1029/2019ms001797openalex-snapshot
Soil Moisture Data Assimilation to Estimate Irrigation Water Use
inferredcites →https://doi.org/10.1029/94jd00483openalex-snapshot
A simple hydrologically based model of land surface water and energy fluxes for general circulation models
inferredcites →https://doi.org/10.1038/nature08238openalex-snapshot
Satellite-based estimates of groundwater depletion in India
inferredcites →https://doi.org/10.1038/sdata.2015.42openalex-snapshot
A spatially comprehensive, hydrometeorological data set for Mexico, the U.S., and Southern Canada 1950–2013
inferredcites →https://doi.org/10.1038/sdata.2016.118openalex-snapshot
Remotely sensed high resolution irrigated area mapping in India for 2000 to 2015
inferredcites →https://doi.org/10.1049/ip-f-2.1993.0015openalex-snapshot
Novel approach to nonlinear/non-Gaussian Bayesian state estimation
inferredcites →https://doi.org/10.1073/pnas.1200311109openalex-snapshot
Groundwater depletion and sustainability of irrigation in the US High Plains and Central Valley
inferredcites →https://doi.org/10.1080/014311600210191openalex-snapshot
Development of a global land cover characteristics database and IGBP DISCover from 1 km AVHRR data
inferredcites →https://doi.org/10.1080/17538947.2016.1267269openalex-snapshot
Spectral matching techniques (SMTs) and automated cropland classification algorithms (ACCAs) for mapping croplands of Australia using MODIS 250-m time-series (2000–2015) data
inferredcites →https://doi.org/10.1109/jproc.2010.2043032openalex-snapshot
The SMOS Mission: New Tool for Monitoring Key Elements ofthe Global Water Cycle
inferredcites →https://doi.org/10.1109/tgrs.2012.2184548openalex-snapshot
The SMOS Soil Moisture Retrieval Algorithm
inferredcites →https://doi.org/10.1127/0941-2948/2013/0399openalex-snapshot
The ASCAT Soil Moisture Product: A Review of its Specifications, Validation Results, and Emerging Applications
inferredcites →https://doi.org/10.1175/1525-7541(2004)005<0430:gsmfso>2.0.co;2openalex-snapshot
Global Soil Moisture from Satellite Observations, Land Surface Models, and Ground Data: Implications for Data Assimilation
inferredcites →https://doi.org/10.1175/2009jcli2832.1openalex-snapshot
On the Nature of Soil Moisture in Land Surface Models
inferredcites →https://doi.org/10.1175/2009jhm1116.1openalex-snapshot
Simulating the Effects of Irrigation over the United States in a Land Surface Model Based on Satellite-Derived Agricultural Data
inferredcites →https://doi.org/10.1175/2010jhm1223.1openalex-snapshot
Performance Metrics for Soil Moisture Retrievals and Application Requirements
inferredcites →https://doi.org/10.1175/bams-87-10-1381openalex-snapshot
GSWP-2: Multimodel Analysis and Implications for Our Perception of the Land Surface
inferredcites →https://doi.org/10.1175/jcli-d-15-0697.1openalex-snapshot
The Physics of Drought in the U.S. Central Great Plains
inferredcites →https://doi.org/10.1175/jhm-d-14-0177.1openalex-snapshot
A Particle Batch Smoother Approach to Snow Water Equivalent Estimation
inferredcites →https://doi.org/10.1175/jhm-d-14-0203.1openalex-snapshot
Impact of Irrigation Methods on Land Surface Model Spinup and Initialization of WRF Forecasts
inferredcites →https://doi.org/10.1175/jhm-d-18-0139.1openalex-snapshot
Comprehensive Evaluation of the Variable Infiltration Capacity (VIC) Model in the North American Land Data Assimilation System
inferredcites →https://doi.org/10.1175/jhm589.1openalex-snapshot
The Influence of Precipitation Variability and Partial Irrigation within Grid Cells on a Hydrological Simulation
inferredcites →https://doi.org/10.13031/trans.58.10715openalex-snapshot
Hydrologic and Water Quality Models: Performance Measures and Evaluation Criteria
inferredcites →https://doi.org/10.14358/pers.78.8.861openalex-snapshot
Determining Irrigated Areas and Quantifying Blue Water Use in Europe Using Remote Sensing Meteosat Second Generation (MSG) products and Global Land Data Assimilation System (GLDAS) Data
inferredcites →https://doi.org/10.1641/0006-3568(2000)050[0753:adottw]2.0.co;2openalex-snapshot
Anthropogenic Disturbance of the Terrestrial Water Cycle
inferredcites →https://doi.org/10.2307/2983314openalex-snapshot
Applied Statistics and Probability for Engineers.
inferredcites →https://doi.org/10.24266/0738-2898-20.3.184openalex-snapshot
Timing of Low Pressure Irrigation Affects Plant Growth and Water Utilization Efficiency
inferredcites →https://doi.org/10.3133/wri894107openalex-snapshot
Estimating pumping time and ground-water withdrawals using energy- consumption data
inferredcites →https://doi.org/10.3354/cr021083openalex-snapshot
Anthropogenic land-use change in the North American tall grass-short grass transition and modification of near-surface hydrologic cycle
inferredcites →https://doi.org/10.3390/en7031300openalex-snapshot
Impacts of Irrigation on the Heat Fluxes and Near-Surface Temperature in an Inland Irrigation Area of Northern China
inferredcites →https://doi.org/10.3390/rs10091495openalex-snapshot
Irrigation Mapping Using Sentinel-1 Time Series at Field Scale
inferredcites →https://doi.org/10.3390/rs10121945openalex-snapshot
Estimating Soil Evaporation Using Drying Rates Determined from Satellite-Based Soil Moisture Records
inferredcites →https://doi.org/10.3390/rs10121953openalex-snapshot
Soil Moisture and Irrigation Mapping in A Semi-Arid Region, Based on the Synergetic Use of Sentinel-1 and Sentinel-2 Data
inferredcites →https://doi.org/10.3390/rs9121256openalex-snapshot
Land Use Classification: A Surface Energy Balance and Vegetation Index Application to Map and Monitor Irrigated Lands
inferredcites →https://doi.org/10.3390/rs9121292openalex-snapshot
Synergic Use of Sentinel-1 and Sentinel-2 Images for Operational Soil Moisture Mapping at High Spatial Resolution over Agricultural Areas
inferredcites →https://doi.org/10.3390/s17091966openalex-snapshot
Synergetic Use of Sentinel-1 and Sentinel-2 Data for Soil Moisture Mapping at 100 m Resolution
inferredcites →https://doi.org/10.3390/s18041197openalex-snapshot
Intercomparison on Four Irrigated Cropland Maps in Mainland China
inferredcites →https://doi.org/10.3390/w10111505openalex-snapshot
The Potential Utility of Satellite Soil Moisture Retrievals for Detecting Irrigation Patterns in China
inferredcites →https://doi.org/10.5194/hess-13-1-2009openalex-snapshot
A new data assimilation approach for improving runoff prediction using remotely-sensed soil moisture retrievals
inferredcites →https://doi.org/10.5194/hess-19-4275-2015openalex-snapshot
Correction of real-time satellite precipitation with satellite soil moisture observations
inferredcites →https://doi.org/10.5194/hess-19-4463-2015openalex-snapshot
Evaluating the utility of satellite soil moisture retrievals over irrigated areas and the ability of land data assimilation methods to correct for unmodeled processes
inferredcites →https://doi.org/10.5194/hess-19-4547-2015openalex-snapshot
Climate response to Amazon forest replacement by heterogeneous crop cover
inferredcites →https://doi.org/10.5194/hess-22-4959-2018openalex-snapshot
Global 5 km resolution estimates of secondary evaporation including irrigation through satellite data assimilation
inferredcites →https://doi.org/10.5194/hess-23-897-2019openalex-snapshot
Estimating irrigation water use over the contiguous United States by combining satellite and reanalysis soil moisture data
inferredcites →https://doi.org/10.5337/2011.0024openalex-snapshot
A Global Irrigated Area Map (GIAM) using remote sensing at the end of the last millennium
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.4676334openalex-extracted
Mobile Phone Online Detection of Water Surface Evaporation of Evaporator and Intelligent Irrigation Control System Based on Pulse Counting Principle
inferred← citeshttps://doi.org/10.1002/essoar.10512082.1openalex-snapshot
Is it Possible to Quantify Irrigation Water-Use by Assimilating a High-Resolution Soil Moisture Product?
inferred← citeshttps://doi.org/10.1002/nag.70147openalex-snapshot
Evaluating Water Retention and Hydraulic Conductivity Properties Based on the Richardson–Richards Equation Using Progressive Training and Trainable Weights
inferred← citeshttps://doi.org/10.1002/vzj2.70087openalex-snapshot
Understanding the potential uses of soil moisture information in the United States
inferred← citeshttps://doi.org/10.1007/s00271-025-01048-3openalex-snapshot
A comprehensive water balance approach for improved assimilation of evapotranspiration estimates derived from soil moisture
inferred← citeshttps://doi.org/10.1007/s00704-025-05761-zopenalex-snapshot
Improvement of soil moisture estimates over the indian domain: an anomaly bias correction approach
inferred← citeshttps://doi.org/10.1007/s12665-022-10703-3openalex-snapshot
Study on monitoring water area in irrigation area by local space self-correlation index
inferred← citeshttps://doi.org/10.1016/b978-0-443-38345-8.00005-3openalex-snapshot
Remote sensing of soil moisture in agroecosystems
inferred← citeshttps://doi.org/10.1016/j.agrformet.2023.109882openalex-snapshot
Evaluation of data assimilation strategies on improving the performance of crop modeling based on a novel evapotranspiration assimilation framework
inferred← citeshttps://doi.org/10.1016/j.agrformet.2025.110870openalex-snapshot
Improvement of crop growth simulations under different drip irrigation modes by jointly assimilating UAV multimodal data into crop models
inferred← citeshttps://doi.org/10.1016/j.agwat.2020.106529openalex-snapshot
Estimating the agricultural irrigation demand for planning of non-potable water reuse projects
inferred← citeshttps://doi.org/10.1016/j.agwat.2022.107537openalex-snapshot
Irrigation estimates from space: Implementation of different approaches to model the evapotranspiration contribution within a soil-moisture-based inversion algorithm
inferred← citeshttps://doi.org/10.1016/j.agwat.2022.108059openalex-snapshot
Simulation-optimization based real-time irrigation scheduling: A human-machine interactive method enhanced by data assimilation
inferred← citeshttps://doi.org/10.1016/j.agwat.2022.108119openalex-snapshot
Modeling Actual Water Use Under Different Irrigation Regimes at District Scale: Application to the FAO-56 Dual Crop Coefficient Method
inferred← citeshttps://doi.org/10.1016/j.agwat.2023.108239openalex-snapshot
Climate change impacts on regional agricultural irrigation water use in semi-arid environments
inferred← citeshttps://doi.org/10.1016/j.agwat.2023.108594openalex-snapshot
Estimating multi-scale irrigation amounts using multi-resolution soil moisture data: A data-driven approach using PrISM
inferred← citeshttps://doi.org/10.1016/j.agwat.2024.108704openalex-snapshot
Retrieving the irrigation actually applied at district scale: Assimilating high-resolution Sentinel-1-derived soil moisture data into a FAO-56-based model
inferred← citeshttps://doi.org/10.1016/j.agwat.2024.109273openalex-snapshot
An LSTM approach to deciphering irrigation operations from remote sensing and groundwater levels records
inferred← citeshttps://doi.org/10.1016/j.agwat.2025.109404openalex-snapshot
Synthesizing regional irrigation data using machine learning – Towards global upscaling via metamodeling
inferred← citeshttps://doi.org/10.1016/j.agwat.2025.109591openalex-snapshot
Estimation of irrigation water use in arid areas by leveraging the similarity between heavy rainfall and irrigation
inferred← citeshttps://doi.org/10.1016/j.agwat.2025.109759openalex-snapshot
A review of the use of remote sensing techniques in assessing irrigation water use
inferred← citeshttps://doi.org/10.1016/j.agwat.2025.110077openalex-snapshot
A novel framework for pixel-wise estimation of irrigation water use by integrating remote sensing and reanalysis data
inferred← citeshttps://doi.org/10.1016/j.agwat.2026.110368openalex-snapshot
A review of integrated crop growth and hydrological models for sustainable agriculture in the midwest: Challenges and opportunities
inferred← citeshttps://doi.org/10.1016/j.ecolind.2024.112870openalex-snapshot
A review of interactions between irrigation and evapotranspiration
inferred← citeshttps://doi.org/10.1016/j.hydroa.2023.100169openalex-snapshot
Quantifying and valuing irrigation in energy and water limited agroecosystems
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2020.124905openalex-snapshot
A review of remote sensing applications in agriculture for food security: Crop growth and yield, irrigation, and crop losses
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2020.125356openalex-snapshot
Monitoring irrigation using landsat observations and climate data over regional scales in the Murray-Darling Basin
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2024.132362openalex-snapshot
Automated calibration of Noah-MP land surface model for improved irrigation representation in the North China Plain
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2025.133248openalex-snapshot
An ensemble vine copula quantile regression model with non-stationary margins (EVQR-NS) for soil moisture prediction
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2025.133785openalex-snapshot
An upscaling approach for estimating field-level irrigation water use through the Budyko framework
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2025.133909openalex-snapshot
Estimating irrigation consumptive use for the conterminous United States: coupling satellite-sourced estimates of actual evapotranspiration with a national hydrologic model
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.2025.134784openalex-snapshot
A systematic review of the NASA Land Information System (LIS): Two decades of advancements in hydrological modeling, data assimilation, and operational earth system applications
inferred← citeshttps://doi.org/10.1016/j.rse.2020.112052openalex-snapshot
Global scale error assessments of soil moisture estimates from microwave-based active and passive satellites and land surface models over forest and mixed irrigated/dryland agriculture regions
inferred← citeshttps://doi.org/10.1016/j.rse.2020.112191openalex-snapshot
Remotely sensed ensembles of the terrestrial water budget over major global river basins: An assessment of three closure techniques
inferred← citeshttps://doi.org/10.1016/j.rse.2025.115153openalex-snapshot
Characterization of irrigation timing using thermal satellite observations, a data-driven approach
inferred← citeshttps://doi.org/10.1016/j.rse.2026.115267openalex-snapshot
Enhancing two-week live fuel moisture content forecasts through biophysical modelling and remote sensing data assimilation
inferred← citeshttps://doi.org/10.1016/j.rse.2026.115639openalex-snapshot
Field-scale irrigation estimation using Sentinel-1 and Sentinel-2 data within a soil water balance model coupled to the Water Cloud Model
inferred← citeshttps://doi.org/10.1029/2020jd032688openalex-snapshot
Machine Learning Accelerates Parameter Optimization and Uncertainty Assessment of a Land Surface Model
inferred← citeshttps://doi.org/10.1029/2020ms002130openalex-snapshot
A Local Particle Filter Using Gamma Test Theory for High‐Dimensional State Spaces
inferred← citeshttps://doi.org/10.1029/2020wr027413openalex-snapshot
Estimating Net Irrigation Across the North China Plain Through Dual Modeling of Evapotranspiration
inferred← citeshttps://doi.org/10.1029/2020wr028378openalex-snapshot
Satellite‐Based Monitoring of Irrigation Water Use: Assessing Measurement Errors and Their Implications for Agricultural Water Management Policy
inferred← citeshttps://doi.org/10.1029/2021gl092658openalex-snapshot
Soil Moisture Active Passive Improves Global Soil Moisture Simulation in a Land Surface Scheme and Reveals Strong Irrigation Signals Over Farmlands
inferred← citeshttps://doi.org/10.1029/2021ms002882openalex-snapshot
An Efficient Estimation of Time‐Varying Parameters of Dynamic Models by Combining Offline Batch Optimization and Online Data Assimilation
inferred← citeshttps://doi.org/10.1029/2021wr031382openalex-snapshot
Estimating Spatially Explicit Irrigation Water Use Based on Remotely Sensed Evapotranspiration and Modeled Root Zone Soil Moisture
inferred← citeshttps://doi.org/10.1029/2022rg000801openalex-snapshot
Land Data Assimilation: Harmonizing Theory and Data in Land Surface Process Studies
inferred← citeshttps://doi.org/10.1029/2022wr032967openalex-snapshot
Combining Remotely Sensed Evapotranspiration and an Agroecosystem Model to Estimate Center‐Pivot Irrigation Water Use at High Spatio‐Temporal Resolution
inferred← citeshttps://doi.org/10.1029/2022wr033342openalex-snapshot
Is It Possible to Quantify Irrigation Water‐Use by Assimilating a High‐Resolution Satellite Soil Moisture Product?
inferred← citeshttps://doi.org/10.1029/2023ms003661openalex-snapshot
Irrigation Quantification Through Backscatter Data Assimilation With a Buddy Check Approach
inferred← citeshttps://doi.org/10.1029/2023wr036080openalex-snapshot
Assimilation of Sentinel‐Based Leaf Area Index for Modeling Surface‐Ground Water Interactions in Irrigation Districts
inferred← citeshttps://doi.org/10.1029/2024ms004412openalex-snapshot
Optimized Gross Primary Productivity Over the Croplands Within the BEPS Particle Filtering Data Assimilation System (BEPS_PF v1.0)
inferred← citeshttps://doi.org/10.1029/2024wr038926openalex-snapshot
Estimates of Irrigation Water Volume by Assimilation of Satellite Land Surface Temperature or Soil Moisture Into a Water‐Energy Balance Model in Morocco
inferred← citeshttps://doi.org/10.1038/s41597-021-01050-2openalex-snapshot
SMAP-HydroBlocks, a 30-m satellite-based soil moisture dataset for the conterminous US
inferred← citeshttps://doi.org/10.1080/01431161.2022.2162351openalex-snapshot
Global Soil Moisture Estimation based on GPM IMERG Data using a Site Specific Adjusted Antecedent Precipitation Index
inferred← citeshttps://doi.org/10.1088/1748-9326/ac0ddfopenalex-snapshot
First attempt of global-scale assimilation of subdaily scale soil moisture estimates from CYGNSS and SMAP into a land surface model
inferred← citeshttps://doi.org/10.1088/1748-9326/ac7f49openalex-snapshot
Irrigation characterization improved by the direct use of SMAP soil moisture anomalies within a data assimilation system
inferred← citeshttps://doi.org/10.1109/access.2024.3421322openalex-snapshot
A Systematic Review and Meta-Analysis of Intelligent Irrigation Systems
inferred← citeshttps://doi.org/10.1109/jstars.2021.3119228openalex-snapshot
Evaluation of SMAP/Sentinel 1 High-Resolution Soil Moisture Data to Detect Irrigation Over Agricultural Domain
inferred← citeshttps://doi.org/10.1109/jstars.2022.3222884openalex-snapshot
Classification of Different Irrigation Systems at Field Scale Using Time-Series of Remote Sensing Data
inferred← citeshttps://doi.org/10.1109/tgrs.2025.3549755openalex-snapshot
A Multifrequency Radiometry Experiment Over an Agricultural Field Toward Microwave Emission Model Calibration
inferred← citeshttps://doi.org/10.1175/jhm-d-23-0014.1openalex-snapshot
Hybrid Assimilation of Snow Cover Improves Land Surface Simulations over Northern China
inferred← citeshttps://doi.org/10.21203/rs.3.rs-1922882/v1openalex-snapshot
Modeling actual irrigation water use regimes at district scale: application to the FAO-56 dual crop coefficient method
inferred← citeshttps://doi.org/10.3103/s1068373924060037openalex-snapshot
Variational Assimilation of the SMAP Surface Soil Moisture Retrievals into an Integrated Urban Land Model
inferred← citeshttps://doi.org/10.31223/x54q18openalex-snapshot
Retrieving the irrigation actually applied at district scale: assimilating high-resolution Sentinel-1-derived soil moisture data into a FAO-56-based model
inferred← citeshttps://doi.org/10.32718/agroengineering2025.29.9-15openalex-snapshot
МАТЕМАТИЧНЕ МОДЕЛЮВАННЯ ЗМІН ВОЛОГОСТІ ҐРУНТУ З УРАХУВАННЯМ ІМПУЛЬСНИХ ВПЛИВІВ У ЦИФРОВОМУ ЗЕМЛЕРОБСТВІ
inferred← citeshttps://doi.org/10.3390/agriculture15050464openalex-snapshot
Enhancing Pear Tree Yield Estimation Accuracy by Assimilating LAI and SM into the WOFOST Model Based on Satellite Remote Sensing Data
inferred← citeshttps://doi.org/10.3390/agriculture15111212openalex-snapshot
Validating Data Interpolation Empirical Orthogonal Functions (DINEOF+) Interpolated Soil Moisture Data in the Contiguous United States
inferred← citeshttps://doi.org/10.3390/atmos14010124openalex-snapshot
Estimation and Assessment of the Root Zone Soil Moisture from Near-Surface Measurements over Huai River Basin
inferred← citeshttps://doi.org/10.3390/horticulturae12081015openalex-snapshot
Quantifying Water Use Efficiency in Strawberry Production Under Climatic Stress: A Review of Equations, Trends, and Modeling Tools
inferred← citeshttps://doi.org/10.3390/rs13142667openalex-snapshot
Irrigation Amounts and Timing Retrieval through Data Assimilation of Surface Soil Moisture into the FAO-56 Approach in the South Mediterranean Region
inferred← citeshttps://doi.org/10.3390/rs16071116openalex-snapshot
PrISM at Operational Scale: Monitoring Irrigation District Water Use during Droughts
inferred← citeshttps://doi.org/10.3390/s24237846openalex-snapshot
Improving the Calibration of Low-Cost Sensors Using Data Assimilation
inferred← citeshttps://doi.org/10.3390/w16172445openalex-snapshot
Evaluating Uncertainties in an SM-Based Inversion Algorithm for Irrigation Estimation in a Subtropical Humid Climate
inferred← citeshttps://doi.org/10.5194/essd-15-1555-2023openalex-snapshot
Regional data sets of high-resolution (1 and 6 km) irrigation estimates from space
inferred← citeshttps://doi.org/10.5194/hess-26-4685-2022openalex-snapshot
Challenges and benefits of quantifying irrigation through the assimilation of Sentinel-1 backscatter observations into Noah-MP
inferred← citeshttps://doi.org/10.5194/hess-28-441-2024openalex-snapshot
An inter-comparison of approaches and frameworks to quantify irrigation from satellite data
inferred← citeshttps://doi.org/10.5194/hess-30-2579-2026openalex-snapshot
On the gap between crop and land surface models: comparing irrigation and other land surface estimates from AquaCrop and Noah-MP over the Po Valley
inferred← citeshttps://doi.org/10.5897/jece2023.0206openalex-snapshot
Applying AquaCrop-OSPy to real-time irrigation
inferred← citeshttps://doi.org/10.70675/62826a92z584bz4433z8bc1z3e0174cc82efopenalex-snapshot
Apports des données radar à haute répétitivité et à haute résolution du capteur Sentinel-1 pour la caractérisation de l'état hydrique des surfaces agricoles dans les régions sud-méditerranéennes
showing the first 90 of 91 · page through all 91
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.