| technologies-901 |
Irrigation Systems Classification Tool |
Time-Series Analysis |
Irrigation Classification |
Remote Sensing Data |
Not specified |
Not specified |
Classification of Different Irrigation Systems at Field Scale Using Time-Series of Remote Sensing Data |
10.1109/jstars.2022.3222884 |
823965 |
ACCWA |
Classifies different irrigation systems using time-series remote sensing data. |
| technologies-902 |
High-Resolution Soil Moisture Disaggregation Tool (DISPATCH) |
Disaggregation Algorithm |
Soil Moisture Disaggregation |
SMAP, Landsat |
Not specified |
Not specified |
Stepwise Disaggregation of SMAP Soil Moisture at 100 m Resolution Using Landsat-7/8 Data and a Varying Intermediate Resolution |
10.3390/rs11161863 |
823965 |
ACCWA |
Disaggregates SMAP soil moisture at 100 m resolution using Landsat data. |
| technologies-903 |
SMOS Soil Moisture Downscaling Tool (DISPATCH) |
Disaggregation Algorithm |
Soil Moisture Downscaling |
SMOS soil moisture data, LST, NDVI |
Not specified |
Not specified |
Temporal Calibration of an Evaporation-Based Spatial Disaggregation Method of SMOS Soil Moisture Data |
10.3390/rs12101671 |
823965 |
ACCWA |
Downscales SMOS soil moisture data using DISPATCH algorithm. |
| technologies-904 |
Dynamic Irrigation Management Zones Tool |
Not specified |
Irrigation Management |
Not specified |
Not specified |
Not specified |
Dynamic Management Zones for Irrigation Scheduling |
10.1016/j.agwat.2020.106207 |
823965 |
ACCWA |
Creates dynamic irrigation management zones. |
| technologies-905 |
FAO-56 Dual Crop Coefficient Model |
Sensitivity Analysis |
Model Sensitivity Analysis |
Not specified |
Not specified |
Not specified |
A sensitivity analysis of a FAO-56 dual crop coefficient-based model under various field conditions |
10.1016/j.envsoft.2022.105608 |
823965 |
ACCWA |
Performs sensitivity analysis of FAO-56 dual crop coefficient model. |
| technologies-906 |
Vine Water Status Analysis Tool |
Two-Source Energy Balance Model (TSEB) |
Water Status Analysis |
Sentinel-2 and Sentinel-3 Images |
Not specified |
Not specified |
Feasibility of Using the Two-Source Energy Balance Model (TSEB) with Sentinel-2 and Sentinel-3 Images to Analyze the Spatio-Temporal Variability of Vine Water Status in a Vineyard |
10.3390/rs12142299 |
823965 |
ACCWA |
Analyzes vine water status using TSEB model with Sentinel-2 and Sentinel-3 images. |
| technologies-907 |
Irrigation Water Use Assessment Tool |
Crop Water Balance Model |
Irrigation Assessment |
Landsat optical/thermal data |
Not specified |
Not specified |
Irrigation retrieval from Landsat optical/thermal data integrated into a crop water balance model: A case study over winter wheat fields in a semi-arid region |
10.1016/j.rse.2019.111627 |
823965 |
ACCWA |
Assesses irrigation water use using a remote sensing-based crop water balance model. |
| technologies-908 |
Bare Soil Moisture Retrieval Tool |
Support Vector Machine (SVM), Backscattering Models (IEM, Oh) |
Soil Moisture Retrieval |
Sentinel-1 Data |
Not specified |
Not specified |
Evaluation of Backscattering Models and Support Vector Machine for the Retrieval of Bare Soil Moisture from Sentinel-1 Data |
10.3390/rs12010072 |
823965 |
ACCWA |
Retrieves bare soil moisture from Sentinel-1 data using SVM and backscattering models. |
| technologies-909 |
Irrigation Water Use Assessment Tool (Remote Sensing) |
Remote Sensing-based Soil Water Balance Model |
Irrigation Assessment |
High-resolution satellite NDVI imagery, eddy covariance systems |
Not specified |
Not specified |
Assessing irrigation water use with remote sensing-based soil water balance at an irrigation scheme level in a semi-arid region of Morocco |
10.3390/rs13061133 |
823965 |
ACCWA |
Assesses irrigation water use using a remote sensing-based soil water balance model. |
| technologies-910 |
Cereal Yield Forecasting Tool |
Machine Learning (MLR, SVM, RF, XGBoost) |
Yield Forecasting |
Satellite drought indices, weather data, regional climate indices |
Not specified |
Not specified |
Cereal yield forecasting with satellite drought-based indices, weather data and regional climate indices using machine learning in Morocco |
10.3390/rs13163101 |
823965 |
ACCWA |
Forecasts cereal yields using machine learning with multiple data sources. |