Biodiversity Data LabUppsala University

Research

Software

Open tools, pipelines, and data products that make our biodiversity models reusable.

BiodiversityDataLab on GitHub

Tools

Code and data products

Software developed in the lab, with links to repositories and interactive viewers where available.

BIOSCANN - BIOdiversity Segmentation and Classification with Artificial Neural Networks
AI + remote sensing

BIOSCANN - BIOdiversity Segmentation and Classification with Artificial Neural Networks

BIOSCANN implements a deep-learning segmentation model that integrates multiple layers of environmental data -- satellite images, airborne laser scanning, and soil information -- to identify forests of high biodiversity value in Sweden. With this approach we produce a national data product for Sweden with high-resolution biodiversity predictions.

Interactive data product GitHub repository Preprint
Environmental Data Downloading Pipeline
Open data pipeline

Environmental Data Downloading Pipeline

A Python package for automated environmental data retrieval in ecological modelling. The service gives users granular control over data synthesis, allowing efficient download of geospatial information from repositories including Google Earth Engine and downstream predictive modelling applications.