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SMETool: A web-based tool for soil moisture estimation based on Eo-Learn framework and Machine Learning methods

https://doi.org/10.1016/j.envsoft.2022.105505
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What this work says

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

inferredcites →https://doi.org/10.1007/s12524-020-01261-xopenalex-snapshot
Estimation of Surface Moisture Content using Sentinel-1 C-band SAR Data Through Machine Learning Models
inferredcites →https://doi.org/10.1016/j.agwat.2020.106649openalex-snapshot
A hybrid CNN-GRU model for predicting soil moisture in maize root zone
inferredcites →https://doi.org/10.1016/j.compag.2014.02.011openalex-snapshot
Integrated sensing of soil moisture at the field-scale: Measuring, modeling and sharing for improved agricultural decision support
inferredcites →https://doi.org/10.1016/j.compag.2017.03.002openalex-snapshot
webXTREME : R -based web tool for calculating agroclimatic indices of extreme events
inferredcites →https://doi.org/10.1016/j.compag.2018.08.023openalex-snapshot
START: A data preparation tool for crop simulation models using web-based soil databases
inferredcites →https://doi.org/10.1016/j.compag.2020.105516openalex-snapshot
SATVeg: A web-based tool for visualization of MODIS vegetation indices in South America
inferredcites →https://doi.org/10.1016/j.compag.2020.105822openalex-snapshot
IrrigaSys: A web-based irrigation decision support system based on open source data and technology
inferredcites →https://doi.org/10.1016/j.future.2022.05.010openalex-snapshot
Multidimensional architecture using a massive and heterogeneous data: Application to drought monitoring
inferredcites →https://doi.org/10.1016/j.jag.2017.10.010openalex-snapshot
On the synergy of SMAP, AMSR2 AND SENTINEL-1 for retrieving soil moisture
inferredcites →https://doi.org/10.1016/j.jag.2020.102113openalex-snapshot
Retrieving soil moisture in rainfed and irrigated fields using Sentinel-2 observations and a modified OPTRAM approach
inferredcites →https://doi.org/10.1016/j.jag.2022.102902openalex-snapshot
Crop-CASMA: A web geoprocessing and map service based architecture and implementation for serving soil moisture and crop vegetation condition data over U.S. Cropland
inferredcites →https://doi.org/10.1016/j.jhydrol.2020.125840openalex-snapshot
Root zone soil moisture estimation with Random Forest
inferredcites →https://doi.org/10.1016/j.pce.2015.02.009openalex-snapshot
Surface soil moisture retrievals from remote sensing: Current status, products & future trends
inferredcites →https://doi.org/10.1080/01431161.2019.1629503openalex-snapshot
Soil moisture retrieval from Sentinel-1 acquisitions in an arid environment in Tunisia: application of Artificial Neural Networks techniques
inferredcites →https://doi.org/10.1080/13504509.2020.1851803openalex-snapshot
Water, water, but not everywhere: analysis of shrinking water bodies using open access satellite data
inferredcites →https://doi.org/10.1080/19479832.2022.2106317openalex-snapshot
Unsupervised self-training method based on deep learning for soil moisture estimation using synergy of sentinel-1 and sentinel-2 images
inferredcites →https://doi.org/10.1109/icoten52080.2021openalex-snapshot
2021 International Congress of Advanced Technology and Engineering (ICOTEN)
inferredcites →https://doi.org/10.1109/igarss47720.2021openalex-snapshot
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
inferredcites →https://doi.org/10.1109/igarss47720.2021.9554585openalex-snapshot
An Evaluation of Soil Moisture Retrieval Using Machine Learning Methods: Application in Arid Regions of Tunisia
inferredcites →https://doi.org/10.1109/lgrs.2022.3168982openalex-snapshot
A Novel Teacher–Student Framework for Soil Moisture Retrieval by Combining Sentinel-1 and Sentinel-2: Application in Arid Regions
inferredcites →https://doi.org/10.1109/setit19250.2012openalex-snapshot
2012 6th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)
inferredcites →https://doi.org/10.17159/sajs.2020/6535openalex-snapshot
Estimating soil moisture using Sentinel-1 and Sentinel-2 sensors for dryland and palustrine wetland areas
inferredcites →https://doi.org/10.3390/e22111198openalex-snapshot
FASTENER Feature Selection for Inference from Earth Observation Data
inferredcites →https://doi.org/10.3390/rs10081285openalex-snapshot
Synergetic Use of Sentinel-1 and Sentinel-2 Data for Soil Moisture Mapping at Plot Scale
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/rs11141655openalex-snapshot
GNSS-R Soil Moisture Retrieval Based on a XGboost Machine Learning Aided Method: Performance and Validation
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/s21030877openalex-snapshot
Soil Moisture Retrieval in Farmland Areas with Sentinel Multi-Source Data Based on Regression Convolutional Neural Networks
inferredcites →https://doi.org/10.3390/s22041354openalex-snapshot
Synergistic Evaluation of Passive Microwave and Optical/IR Data for Modelling Vegetation Transmissivity towards Improved Soil Moisture Retrieval
inferredcites →https://doi.org/10.3390/su132011355openalex-snapshot
A Method to Estimate Surface Soil Moisture and Map the Irrigated Cropland Area Using Sentinel-1 and Sentinel-2 Data
inferredcites →https://doi.org/10.3390/w12030866openalex-snapshot
Estimating 500-m Resolution Soil Moisture Using Sentinel-1 and Optical Data Synergy
inferredcites →https://doi.org/10.5194/egusphere-egu22-10452openalex-snapshot
Soil Moisture Mapping Using Uncrewed Arial Systems (UAS)
inferredcites →https://doi.org/10.5194/isprs-archives-xlii-3-w6-357-2019openalex-snapshot
SURFACE MOISTURE AND IRRIGATION MAPPING AT AGRICULTURAL FIELD SCALE USING THE SYNERGY SENTINEL-1/SENTINEL-2 DATA
inferredcites →https://doi.org/10.5194/isprs-archives-xliii-b2-2020-1337-2020openalex-snapshot
APPLICATION OF TEMPORAL CONVOLUTIONAL NEURAL NETWORK FOR THE CLASSIFICATION OF CROPS ON SENTINEL-2 TIME SERIES

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Hydroecolstm: A Python Package with Graphical User Interface for Hydro-Ecological Modelling with Long Short-Term Memory Neural Network
inferred← citeshttps://doi.org/10.1007/978-3-031-35507-3_3openalex-snapshot
A Machine Learning Framework for Cereal Yield Forecasting Using Heterogeneous Data
inferred← citeshttps://doi.org/10.1007/s00704-026-06044-xopenalex-snapshot
A framework for predicting greenhouse microclimate in tomato production using XGBoost, LSTM and random forest
inferred← citeshttps://doi.org/10.1007/s00704-026-06081-6openalex-snapshot
Spatiotemporal analysis of extreme precipitation and temperature variability, trends, and vulnerability hotspots in coffee growing districts of Ilubabor zone, Ethiopia
inferred← citeshttps://doi.org/10.1007/s10462-024-10734-1openalex-snapshot
Advances in remote sensing based soil moisture retrieval: applications, techniques, scales and challenges for combining machine learning and physical models
inferred← citeshttps://doi.org/10.1007/s12145-023-01172-8openalex-snapshot
Estimation of soil moisture from remote sensing products using an ensemble machine learning model: a case study of Lake Urmia Basin, Iran
inferred← citeshttps://doi.org/10.1007/s12145-024-01674-zopenalex-snapshot
A backtracking search-based extreme gradient boosting algorithm for soil moisture prediction using meteorological variables
inferred← citeshttps://doi.org/10.1016/j.agwat.2026.110270openalex-snapshot
Construction and optimization of a stage-specific variable-parameter surface electromagnetic scattering model for winter wheat
inferred← citeshttps://doi.org/10.1016/j.ecoinf.2023.102151openalex-snapshot
BeingAliveLanguage: Visualizing soil information from a design perspective to enhance multidisciplinary communication
inferred← citeshttps://doi.org/10.1016/j.ecoinf.2025.102994openalex-snapshot
HydroEcoLSTM: A Python package with graphical user interface for hydro-ecological modeling with long short-term memory neural network
inferred← citeshttps://doi.org/10.1016/j.jafrearsci.2024.105375openalex-snapshot
Monitoring and forecasting desertification and land degradation using remote sensing and machine learning techniques in Sistan plain, Iran
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2025.180503openalex-snapshot
Advancements in soil moisture estimation through integration of remote sensing and artificial intelligence techniques
inferred← citeshttps://doi.org/10.1080/24749508.2025.2506853openalex-snapshot
Spatiotemporal relationships between remotely sensed soil moisture and NDVI in semi-arid areas of Morocco by coupling SMOS and MODIS products
inferred← citeshttps://doi.org/10.1145/3678717.3691261openalex-snapshot
DeepSoil: A Science-guided Framework for Generating High Precision Soil Moisture Maps by Reconciling Measurement Profiles Across In-situ and Remote Sensing Data
inferred← citeshttps://doi.org/10.1145/3817120openalex-snapshot
DeepSoil: Physics-Guided Learning for High-Resolution Soil Moisture Mapping from Surface to Root-Zone via Multimodal Sensing and Process-Based Modeling
inferred← citeshttps://doi.org/10.3389/fenvs.2023.1130448openalex-snapshot
Modelling soil moisture using climate data and normalized difference vegetation index based on nine algorithms in alpine grasslands
inferred← citeshttps://doi.org/10.3390/hydrology11100170openalex-snapshot
An Integrated Approach to the Regional Estimation of Soil Moisture
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