Research

Software

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

Tools

Code and data products

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.

envoi: Geospatial data extraction
Web app + Python package

envoi: Geospatial data extraction

A tool for downloading environmental data for sampling points or occurrence records.

envoi adds environmental data from Google Earth Engine to your sample points, such as species occurrence records, without installing anything. Upload a CSV file with your points and an Earth Engine service-account key, then choose data products, like elevation, climate, or land cover. You can get point-wise values or summary statistics within a window around it, or image raster tiles. You download them with quality checks and metadata in one ZIP file.

envoi is an open-source Python package, and the web app runs a simplified version of it. For more flexibility and larger downloads, you can run the app locally or use envoi in Python.