Home › AI & machine learning › Artificial Intelligence Forecasting Remote Sensing
Artificial Intelligence Forecasting Remote Sensing QGIS 4 compatibility
Not QGIS 4 ready Active
Not yet — the latest version declares max QGIS version 3.99.0, so it is not offered to QGIS 4 users.
This plugin allows time series forecasting using deep learning models.
About
Artificial Intelligence forecasting Remote Sensing (AIRS) plugin is a free open-source plugin for QGIS that allows time series forecasting using deep learning models. The overall objective of AIRS is to simplify the complexities of data preparation, model training, and prediction, empowering you to leverage your data for accurate and insightful time series forecasts. The plugin allows users to preprocess data, build and train deep learning models, make predictions, and visualize results. This plugin requires the installation of Tensorflow. Before installing this plugin visit "https://www.tensorflow.org/install/pip" for step-by-step instructions.
| Author | Hafssa Naciri; Nizar Ben Achhab; Fatima Ezahrae Ezzaher; Naoufal Raissouni |
|---|---|
| Downloads | 16,095 |
| Latest version | 1.0.1 |
| Last updated | 2025-11-12 (338 days ago) |
| Min QGIS | 3.0.0 |
| Max QGIS | 3.99.0 |
| QGIS 4 ready | No |
| Maintenance | Active |
| Categories | AI & machine learning, Remote sensing, Spatial analysis |
| Tags | remote sensing, deep learning, lstm model, forecasting, time series, analysis |
Homepage · Repository · Issue tracker · Official page
Alternatives in AI & machine learning
Raster classification in QGIS with 11 machine learning algorithms, Optuna hyperparameter search, SHAP explanations, class imbalance handling
- ArcGeek CalculatorQGIS 4 ready
ArcGeek Calculator is a QGIS plugin that provides a comprehensive set of tools for coordinate calculations, conversions, spatial operations,
- Bunting Labs AI VectorizerQGIS 4 ready
Autocomplete for vectorizing and georeferencing raster maps.
Related plugins
- PlanX DataCube LabQGIS 4 ready
Next-generation spatiotemporal analysis engine: data cubes, Emerging Hot Spot Analysis, time-series forecasting, and volumetric voxel render
- TerranovaQGIS 4 ready
Earth-observation toolkit for QGIS: STAC search, classical + deep-learning classification, time-series change detection.
- RapidIBF-NextQGIS 4 ready
This plugin turns raw hazard and exposure data into simple, decision-ready impact estimates. Instead of stopping at "where the hazard will o
- InSAR ExplorerQGIS 4 ready
InSAR Explorer is a QGIS plugin for interactive visualization and analysis of InSAR time-series data.
- EOF-based Time Series ReconstructorNot QGIS 4 ready
Python wrapper for DINEOF fortran executable (ULiège, Alvera-Azcárte and Barth)
- InSAR SuiteQGIS 4 ready
Integrated suite for loading, processing and analysis of PSI displacement data
Maintenance: Active = updated within 1 year, Quiet = 1–3 years, Likely abandoned = over 3 years.