We provide access to high-resolution object and spatial data, indicators, models, simulations and tools across scales and sectors.
We offer selective information on land use, settlements, buildings and ecosystems.
Our products support profound changes towards sustainability in neighbourhoods, cities and regions.
We focus on cross-cutting spatial developments in Germany, but we also look at specific aspects within Europe and globally.
Our services support spatial decision making and are aimed at researchers, policymakers and administrators, business and civil society stakeholders.
Our products enable evidence-based exploration of human-environment interactions, facilitating both retrospective analysis and future predictions.
We unlock rapidly growing heterogeneous datasets such as land use, 3D, remote sensing, socio-economic, sensor and user-generated data according to the FAIR principles (Findable, Accessible, Interoperable, Reusable).
Our work uses methods from spatial data science and spatial artificial intelligence (GeoAI).
We integrate, analyse and visualise spatial data to interpret the status quo, development dynamics and alternative future scenarios.
We develop user and issue-oriented products, using cross-scale and multi-temporal approaches to address challenges in different spatial and temporal contexts.
We use interdisciplinary, transdisciplinary, and transformative research methods to engage stakeholders in the development of our programmes.
Our products are available through a variety of user-centered interfaces (downloads, reports, tools, interfaces).
We provide consultancy and training focused on data-driven approaches and methodologies.
We are a member of the National Research Data Infrastructure e. V. (NFDI) and collaborate in several consortia.
The NFDI is set to become part of the European Open Science Cloud (EOSC).
We are part of the implementation network Go FAIR-Initiative.
We learn from the Leibniz network LeibnizData and support its activities