GeoPl@ntNet: A Platform for Exploring Essential Biodiversity Variables

2025-11-16

AI Summary

To address the public’s difficulty in accessing and interpreting high-resolution spatial biodiversity information, this study developed an AI-driven, interactive web platform covering all of Europe. Methodologically, we innovatively cascaded convolutional neural networks (CNNs) with large language models (LLMs), integrating multi-source remote sensing and field-observation data to generate 50 m × 50 m resolution maps of species distributions, habitat types, and biodiversity indicators. The platform incorporates GIS analytical capabilities and web-based visualization, enabling regional filtering, local species queries, and automated report generation. Our key contributions are: (1) the first implementation of LLM-assisted biodiversity mapping, substantially improving map interpretability and generation efficiency; and (2) the open deployment of the platform, which enhances public scientific literacy and supports evidence-based regional conservation decision-making.

Technology Category

• Computer Vision: Remote Sensing / Geospatial AI
• Humans and AI: AI for Accessibility
• Machine Learning: Large Multimodal Models (LMMs)

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Applied ML and AI for Web-based mobile applications
• Graph Algorithms and Modeling for the Web: Foundation models and LLMs for Web-related graphs
• Search and Retrieval-Augmented AI: Multilingual and cross-lingual Web search

Abstract

This paper describes GeoPl@ntNet, an interactive web application designed to make Essential Biodiversity Variables accessible and understandable to everyone through dynamic maps and fact sheets. Its core purpose is to allow users to explore high-resolution AI-generated maps of species distributions, habitat types, and biodiversity indicators across Europe. These maps, developed through a cascading pipeline involving convolutional neural networks and large language models, provide an intuitive yet information-rich interface to better understand biodiversity, with resolutions as precise as 50x50 meters. The website also enables exploration of specific regions, allowing users to select areas of interest on the map (e.g., urban green spaces, protected areas, or riverbanks) to view local species and their coverage. Additionally, GeoPl@ntNet generates comprehensive reports for selected regions, including insights into the number of protected species, invasive species, and endemic species.

Problem

• Making Essential Biodiversity Variables accessible through interactive web application
• Exploring AI-generated species distribution maps across Europe with high resolution
• Generating comprehensive biodiversity reports for specific regions of interest

Innovation

• Uses convolutional neural networks for species distribution mapping
• Integrates large language models for biodiversity data processing
• Provides interactive web platform with 50-meter resolution maps