Discover TytonAI
Your complete guide to geospatial analysis, classification and monitoring.
Modules
Create a Project
Create and configure a TytonAI project, defining the spatial, data, and organisational context for all subsequent workflows.
Upload Imagery
Upload and deploy raster imagery (UAV, manned aerial, or satellite) with correct band mapping, projection, and clipping for use in classification and analysis.
Study Areas
Define and manage spatial boundaries used for training, classification, and reporting, including versioning and reuse across captures.
Class List
Define the classification schema, including class names, colours, hierarchy, and labels used consistently across training, classification, and reporting.
Accuracy Points
Create and manage reference points for model validation, accuracy assessment, and QA/QC of model training results.
Training Data
Digitise and curate polygon-based training data, including class balance checks and quality control prior to model training
Train Model
Configure and run model training using selected imagery, training data, and feature stacks to generate reusable classification models
Classify
Apply trained models to imagery to generate classification outputs, supporting batch runs, masking, and iterative reclassification
Reports
Generate analytical metrics from classification results, review outputs across study areas, and export reports for stakeholders and TytonIQ
Erosion
Identify, map, and quantify erosion features and metrics using classification results and DSM-derived analysis
