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…
Wir haben das Büro verlassen, um die Stadt durch die Augen älterer Menschen zu erleben. Aber bevor wir dazu kommen, möchten wir einen Schritt zurückgehen und erklären, warum. Das Silver…
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…
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…
Ein neuer globaler Datensatz des HeiGIT (Heidelberg Institute for Geoinformation Technology) ermöglicht es weltweit zwischen befestigten und unbefestigten Straßen mit bisher unerreichter Konsistenz zu unterscheiden. Die aus hochauflösenden Satellitenbildern abgeleiteten Daten…
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…
Das Silver Ways Projekt hat das Ziel, älteren Menschen die Fortbewegung in Städten zu erleichtern, indem ein auf ihre Bedürfnisse zugeschnittenes Routing-System geschaffen wird. Um dieses System auf reale Erfahrungen…
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…
This study evaluates the applicability of macro-scale energy poverty indices in an urban context, using Santiago de Chile as a case study. Energy poverty (EP), understood as the inability of…
Walking supports healthy aging, but older adults often prioritize safety and comfort over speed. This study uses a scoping review to examine these preferences and guide age-inclusive routing systems. Walking…