Credits & Attribution
Baseline Environmental is built on the work of many open-source projects, research institutions, and public data providers.
AI Models
MegaDetector
Camera trap object detection (animals, people, vehicles).
Developed by Microsoft AI for Good. Current deployment: MegaDetector v6 (RT-DETR / ONNX Runtime). Licensed under Apache-2.0.
SpeciesNet
Species classification from camera trap images (2,000+ species).
Developed by Google. Licensed under Apache-2.0. Self-hosted classifier for wildlife species identification.
Perch v2
Acoustic species identification from field audio recordings.
Developed by Google. Licensed under Apache-2.0. Self-hosted acoustic classifier.
Data Sources
Atlas of Living Australia (ALA)
Species reference data, occurrence records, and conservation status information.
ALA data is made available under Creative Commons licensing. Commercial use of ALA data is subject to the ALA Terms of Use. Species data should be verified against official government registers.
DCCEEW Protected Matters Search Tool (PMST)
Matters of National Environmental Significance (MNES) data for EPBC Act assessments.
Data sourced from the Australian Government Department of Climate Change, Energy, the Environment and Water. PMST results are indicative only.
SILO Climate Data
Historical climate data and 30-year normals for Australian regulatory compliance.
Provided by the Queensland Government, Department of Environment and Science.
Open-Meteo
Weather forecast data for field survey planning and conditions monitoring.
Free and open weather API.
Map Data
OpenStreetMap
Map data © OpenStreetMap contributors. Licensed under the Open Data Commons Open Database License (ODbL).
MapTiler
Satellite, hybrid, and dark map tiles. Used under commercial licence.
Key Open-Source Software
Baseline Environmental is built with open-source software licensed under MIT, Apache-2.0, BSD, and ISC licences. Key dependencies include: