Picterra

Picterra is a specialized geospatial artificial intelligence platform designed to help organizations analyze and interpret environmental data at scale. The platform focuses on transforming complex, often unstructured geospatial information—such as satellite imagery, drone footage, and aerial photographs—into actionable insights for environmental monitoring, conservation, and risk management. Users can upload their own imagery or access publicly available data sources, then train custom detection models without needing deep programming or machine learning expertise. The system employs a user-friendly interface that allows analysts, ecologists, and land managers to define specific features of interest—like tree species, water bodies, buildings, or infrastructure changes—and automatically detect and count them across large geographic areas. One of Picterra’s core capabilities is change detection: it can compare images from different dates to identify alterations in land cover, deforestation, urban expansion, crop health, or shoreline erosion. This makes it particularly useful for environmental impact assessments, compliance monitoring, and conservation planning. The platform also supports object classification and segmentation, enabling users to distinguish between different types of vegetation, soil conditions, or man-made structures. Picterra’s underlying technology relies on deep learning models that are fine-tuned for geospatial tasks, allowing it to handle high-resolution imagery and deliver consistent results even in challenging conditions like varying lighting or partial occlusion. The output can be exported in standard GIS formats (e.g., GeoJSON, shapefiles) for integration with existing mapping tools like QGIS or ArcGIS, facilitating further analysis or reporting.