Deep Learning (DL) has become a core methodological pillar in remote sensing and GeoAI, enabling large-scale applications such as Land Use Land Cover (LULC) mapping, object detection, and spatiotemporal prediction….
Hidden Energy Poverty (hEP) represents an underestimated form of energy vulnerability in which households consume less energy than required to achieve adequate indoor thermal comfort conditions. This phenomenon is particularly…
We left the office to experience the city through the eyes of older adults. But before we get into that, let us take a step back and explain why. The…
What role does the human-in-the-loop play in AI-assisted mapping? AI-assisted mapping is rapidly changing how geospatial data is created, enabling features to be generated at a scale and speed that…
This blog article was originally posted on Medium by Maciej Adamiak, machine learning expert at HeiGIT. It’s very easy to take many things around us for granted, especially when you live…
The Silver Ways project is an international research initiative that aims to enhance the walkability and urban mobility of older adults by developing a tailored routing system that goes beyond…
This study presents an environment-driven, open-data approach to infer and spatially complete urban traffic speed classes at the citywide scale. As cities grow and urban mobility demands intensify, accurately forecasting…
Automatically generated map data has become far more common, reducing the amount of direct human involvement. AI-assisted mapping, where human validation refines machine-generated output, is increasingly used to update crowdsourced…
Air pollution caused by fine particulate matter (PM₂.₅) is a major public health concern worldwide. Prolonged exposure to PM₂.₅ is associated with higher rates of cardiovascular and respiratory diseases, which…
A new global dataset released by the HeiGIT (Heidelberg Institute for Geoinformation Technology) makes it possible to distinguish between paved and unpaved roads worldwide with unprecedented consistency. Derived from high-resolution…
This study investigates sugarcane farmland abandonment in Rio de Janeiro State, Brazil, employing spatial regression techniques to identify the biophysical and accessibility factors that determine where abandonment occurs at the…
The Silver Ways project aims to make it easier for older adults to get around cities by creating a routing system targeted to their needs. To ground this system in…
This study develops a framework integrating satellite observations with spatial proxy data to produce high-resolution urban carbon emission maps. The method is applied to Urumqi, China, demonstrating accurate and timely…
Using Heidelberg as a case study, researchers modeled time-dependent solar exposure for the entire pedestrian network by combining high-resolution DEM/DSM building and vegetation data with OpenStreetMap road data. Adapting to…