On the public citation graph

Assessing the Impact of LAI Data Assimilation on Simulations of the Soil Water Balance and Maize Development Using MOHID-Land

0 signed · 73 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.
Claim with ORCID
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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/ird.1944openalex-snapshot
Numerical Simulation of Soil Water Dynamics Under Stationary Sprinkler Irrigation With Mohid‐Land
inferredcites →https://doi.org/10.1007/s10236-003-0036-9openalex-snapshot
The Ensemble Kalman Filter: theoretical formulation and practical implementation
inferredcites →https://doi.org/10.1007/s12665-017-6713-7openalex-snapshot
Modeling flood dynamics in a temporary river draining to an eutrophic reservoir in southeast Portugal
inferredcites →https://doi.org/10.1007/s12665-017-7221-5openalex-snapshot
Integrated modelling for water quality management in a eutrophic reservoir in south-eastern Portugal
inferredcites →https://doi.org/10.1016/0022-1694(70)90255-6openalex-snapshot
River flow forecasting through conceptual models part I — A discussion of principles
inferredcites →https://doi.org/10.1016/bs.agron.2015.11.004openalex-snapshot
A Comprehensive Review of the CERES-Wheat, -Maize and -Rice Models’ Performances
inferredcites →https://doi.org/10.1016/j.advwatres.2014.09.004openalex-snapshot
Embedding complex hydrology in the regional climate system – Dynamic coupling across different modelling domains
inferredcites →https://doi.org/10.1016/j.agsy.2017.01.017openalex-snapshot
An integrated SVR and crop model to estimate the impacts of irrigation on daily groundwater levels
inferredcites →https://doi.org/10.1016/j.agwat.2012.05.007openalex-snapshot
Two-dimensional modeling of water and nitrogen fate from sweet sorghum irrigated with fresh and blended saline waters
inferredcites →https://doi.org/10.1016/j.agwat.2013.12.010openalex-snapshot
Partitioning evapotranspiration, yield prediction and economic returns of maize under various irrigation management strategies
inferredcites →https://doi.org/10.1016/j.agwat.2014.06.002openalex-snapshot
Assessing the performance of the FAO AquaCrop model to estimate maize yields and water use under full and deficit irrigation with focus on model parameterization
inferredcites →https://doi.org/10.1016/j.agwat.2014.08.003openalex-snapshot
Assessment of irrigation performance and water productivity in irrigated areas of the middle Heihe River basin using a distributed agro-hydrological model
inferredcites →https://doi.org/10.1016/j.agwat.2014.12.012openalex-snapshot
Climate change impacts on irrigated agriculture in the Guadiana river basin (Portugal)
inferredcites →https://doi.org/10.1016/j.agwat.2015.10.013openalex-snapshot
Calibration of the AquaCrop model for winter wheat using MODIS LAI images
inferredcites →https://doi.org/10.1016/j.agwat.2017.02.007openalex-snapshot
Modelling soil water and maize growth dynamics influenced by shallow groundwater conditions in the Sorraia Valley region, Portugal
inferredcites →https://doi.org/10.1016/j.agwat.2017.10.023openalex-snapshot
Viticultural irrigation demands under climate change scenarios in Portugal
inferredcites →https://doi.org/10.1016/j.agwat.2018.03.024openalex-snapshot
Soybean crop-water production functions in a humid region across years and soils determined with APEX model
inferredcites →https://doi.org/10.1016/j.biosystemseng.2012.08.009openalex-snapshot
Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps
inferredcites →https://doi.org/10.1016/j.biosystemseng.2015.02.001openalex-snapshot
Modelling soil water dynamics of full and deficit drip irrigated maize cultivated under a rain shelter
inferredcites →https://doi.org/10.1016/j.biosystemseng.2017.08.003openalex-snapshot
Assimilation of canopy cover and biomass measurements in the crop model AquaCrop
inferredcites →https://doi.org/10.1016/j.ecolmodel.2014.07.013openalex-snapshot
Assimilating remote sensing information into a coupled hydrology-crop growth model to estimate regional maize yield in arid regions
inferredcites →https://doi.org/10.1016/j.ecss.2015.10.022openalex-snapshot
Integrating operational watershed and coastal models for the Iberian Coast: Watershed model implementation – A first approach
inferredcites →https://doi.org/10.1016/j.eja.2017.11.002openalex-snapshot
A review of data assimilation of remote sensing and crop models
inferredcites →https://doi.org/10.1016/j.jag.2007.09.002openalex-snapshot
Monitoring winter wheat growth in North China by combining a crop model and remote sensing data
inferredcites →https://doi.org/10.1016/j.jhydrol.2005.03.020openalex-snapshot
Simulating the fate of water in field soil–crop environment
inferredcites →https://doi.org/10.1016/j.jhydrol.2014.09.075openalex-snapshot
Evapotranspiration and crop coefficients for a super intensive olive orchard. An application of SIMDualKc and METRIC models using ground and satellite observations
inferredcites →https://doi.org/10.1016/j.jhydrol.2016.03.026openalex-snapshot
An overview of current applications, challenges, and future trends in distributed process-based models in hydrology
inferredcites →https://doi.org/10.1016/j.rse.2013.07.018openalex-snapshot
Assimilation of remotely sensed soil moisture and vegetation with a crop simulation model for maize yield prediction
inferredcites →https://doi.org/10.1016/j.scitotenv.2009.01.015openalex-snapshot
An advanced modelling tool for simulating complex river systems
inferredcites →https://doi.org/10.1016/s0378-3774(02)00175-0openalex-snapshot
Monitoring water and NO3-N in irrigated maize fields in the Sorraia Watershed, Portugal
inferredcites →https://doi.org/10.1029/1998wr900018openalex-snapshot
Evaluating the use of “goodness‐of‐fit” Measures in hydrologic and hydroclimatic model validation
inferredcites →https://doi.org/10.1029/2011wr011420openalex-snapshot
Assimilating remote sensing observations of leaf area index and soil moisture for wheat yield estimates: An observing system simulation experiment
inferredcites →https://doi.org/10.1029/94jc00572openalex-snapshot
Sequential data assimilation with a nonlinear quasi‐geostrophic model using Monte Carlo methods to forecast error statistics
inferredcites →https://doi.org/10.1029/wr008i005p01204openalex-snapshot
Model for predicting evaporation from a row crop with incomplete cover
inferredcites →https://doi.org/10.1061/(asce)1084-0699(2000)5:3(250)openalex-snapshot
SHETRAN: Distributed River Basin Flow and Transport Modeling System
inferredcites →https://doi.org/10.1080/01431160802552769openalex-snapshot
Assimilation of satellite data into agrohydrological models to improve crop yield forecasts
inferredcites →https://doi.org/10.1080/2150704x.2012.683117openalex-snapshot
Forecasting wheat yield in Punjab state of India by combining crop simulation model WOFOST and remotely sensed inputs
inferredcites →https://doi.org/10.1175/1520-0493(1988)116<2069:asislf>2.0.co;2openalex-snapshot
A Semi-Implicit, Semi-Lagrangian Finite-Difference Scheme Using Hligh-Order Spatial Differencing on a Nonstaggered Grid
inferredcites →https://doi.org/10.13031/2013.23153openalex-snapshot
Model Evaluation Guidelines for Systematic Quantification of Accuracy in Watershed Simulations
inferredcites →https://doi.org/10.13031/2013.29490openalex-snapshot
Assimilating Leaf Area Index Estimates from Remote Sensing into the Simulations of a Cropping Systems Model
inferredcites →https://doi.org/10.13031/2013.31032openalex-snapshot
The EPIC Crop Growth Model
inferredcites →https://doi.org/10.13031/2013.42253openalex-snapshot
EPIC and APEX: Model Use, Calibration, and Validation
inferredcites →https://doi.org/10.2136/sssaj1980.03615995004400050002xopenalex-snapshot
A Closed‐form Equation for Predicting the Hydraulic Conductivity of Unsaturated Soils
inferredcites →https://doi.org/10.3390/rs70302373openalex-snapshot
Estimation of Actual Crop Coefficients Using Remotely Sensed Vegetation Indices and Soil Water Balance Modelled Data
inferredcites →https://doi.org/10.3390/w10040489openalex-snapshot
Modeling Soil Water Dynamics and Pasture Growth in the Montado Ecosystem Using MOHID Land
inferredcites →https://doi.org/10.3390/w10050558openalex-snapshot
Evapotranspiration Partition and Crop Coefficients of Tifton 85 Bermudagrass as Affected by the Frequency of Cuttings. Application of the FAO56 Dual Kc Model
inferredcites →https://doi.org/10.3390/w9030157openalex-snapshot
Modeling Crop Water Productivity Using a Coupled SWAT–MODSIM Model

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.4797301openalex-extracted
Developing a Method Yielding Root-Zone Soil Moisture Monitoring at the Field Scale Using Remote Sensing and Simulation Modeling
inferred← citeshttps://doi.org/10.1007/s11119-020-09749-9openalex-snapshot
Effects of spatial, temporal, and spectral resolutions on the estimation of wheat and barley leaf area index using multi- and hyper-spectral data (case study: Karaj, Iran)
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.agsy.2023.103711openalex-snapshot
Crop yield estimation based on assimilation of crop models and remote sensing data: A systematic evaluation
inferred← citeshttps://doi.org/10.1016/j.agwat.2023.108472openalex-snapshot
Field-scale assessment of soil water dynamics using distributed modeling and electromagnetic conductivity imaging
inferred← citeshttps://doi.org/10.1016/j.agwat.2024.109263openalex-snapshot
Developing a method for root-zone soil moisture monitoring at the field scale using remote sensing and simulation modeling
inferred← citeshttps://doi.org/10.1016/j.atech.2026.102101openalex-snapshot
Assimilation of UAS remote sensing and deep learning-derived crop parameters into DSSAT model for grain yield prediction
inferred← citeshttps://doi.org/10.1016/j.compag.2020.105822openalex-snapshot
IrrigaSys: A web-based irrigation decision support system based on open source data and technology
inferred← citeshttps://doi.org/10.1016/j.ejrh.2019.100628openalex-snapshot
Influence of reservoir management on Guadiana streamflow regime
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2021.125957openalex-snapshot
Role of remotely sensed leaf area index assimilation in eco-hydrologic processes in different ecosystems over East Asia with Community Land Model version 4.5 – Biogeochemistry
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2022.128012openalex-snapshot
Multivariate assimilation of satellite-based leaf area index and ground-based river streamflow for hydrological modelling of irrigated watersheds using SWAT+
inferred← citeshttps://doi.org/10.1016/j.jwpe.2020.101600openalex-snapshot
Riverine microplastics: Behaviour, spatio-temporal variability, and recommendations for standardised sampling and monitoring
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2021.148177openalex-snapshot
Improved agricultural Water management in data-scarce semi-arid watersheds: Value of integrating remotely sensed leaf area index in hydrological modeling
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2024.176649openalex-snapshot
Improving the simulation accuracy of summer maize growth and yield by pixel-based parameterization based on assimilating upscaled MODIS LAI
inferred← citeshttps://doi.org/10.1088/1748-9326/ae803dopenalex-snapshot
Multi-variable remote sensing data assimilation for winter wheat water footprint: a case study in Shijiazhuang, North China
inferred← citeshttps://doi.org/10.1111/gcb.70761openalex-snapshot
Harmonizing Terrestrial Carbon Cycle Observations Over CONUS NEON Sites: Assessing the Information Contributions of Multiple Data Constraints
inferred← citeshttps://doi.org/10.26754/c_agroing.2019.com.3373openalex-snapshot
Modelação da rega deficitária em vinha com o MOHID-Land
inferred← citeshttps://doi.org/10.29183/2596-237x.ensus2024.v12.n1.p638-647openalex-snapshot
Analysis of the transport of agricultural contaminants in water bodies through the simulation of a corn plantation on the MOHID Land platform in Varre-Sai, RJ
inferred← citeshttps://doi.org/10.31545/intagr/126593openalex-snapshot
Landsat and Sentinel-2 images as a tool for the effective estimation of winter and spring cultivar growth and yield prediction in the Czech Republic
inferred← citeshttps://doi.org/10.3389/feart.2023.1265292openalex-snapshot
Appraisal of long-term responsiveness of normalized difference vegetation index to climatic factors using multiscale time–frequency decomposition in an arid environment
inferred← citeshttps://doi.org/10.3389/fmars.2021.749638openalex-snapshot
Impact of Flash Flood Events on the Coastal Waters Around Madeira Island: The “Land Mass Effect”
inferred← citeshttps://doi.org/10.3390/agronomy11061228openalex-snapshot
Exploring the Use of Vegetation Indices for Validating Crop Transpiration Fluxes Computed with the MOHID-Land Model. Application to Vineyard
inferred← citeshttps://doi.org/10.3390/agronomy14010066openalex-snapshot
Assessing the Impact of IrrigaSys Decision Support System on Farmers’ Irrigation Practices in Southern Portugal: A Post Evaluation Study
inferred← citeshttps://doi.org/10.3390/w11061230openalex-snapshot
Innovation Issues in Water, Agriculture and Food
inferred← citeshttps://doi.org/10.3390/w12113258openalex-snapshot
Sensitivity Analysis of the MOHID-Land Hydrological Model: A Case Study of the Ulla River Basin
inferred← citeshttps://doi.org/10.64898/2026.02.25.708030openalex-snapshot
Mapping the North American Terrestrial Carbon Cycle: A Process-based Reanalysis Using State Data Assimilation (SDA)
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.