Results

In response to the increasing abundance and spread of the invasive mosquito Aedes albopictus in Germany, this study examines how the effectiveness of control measures on breeding sites is influenced…
Openly dumped waste is a serious environmental and public health problem in many fast-growing cities, but small and scattered amounts of waste are often hard to track. A recent study…

A new indicator for the Lancet Countdown In Europe, cities are center stage for climate action. With three-quarters of the continent’s population and a majority of both energy demand and…

We combined Earth observation, an innovative custom-built deep-learning model, and spatial planning to map the condition of the rangelands around Töv province and Ulaanbaatar. The resulting maps provide actionable insights…
The new paper presents the first global, multi-temporal dataset of road pavedness and width, built by applying a deep learning framework to PlanetScope satellite imagery from 2020 and 2024 to…
New paper published in Communications Sustainability, editorially selective open-access journal from the Nature Portfolio, presents the Climate-Sensitive Urban Energy Poverty Indicator Framework, which assesses household energy poverty under climate-sensitive urban…
Indoor dwelling habitability affects health, comfort, and housing performance, but there is still no standardized approach for assessing it. This systematic review examines how the concept has evolved, which methods…
Public traffic speed data usually cover only some parts of city road networks. In this paper, the authors present a clear framework to estimate missing street-level traffic speeds in Berlin….
A new paper presented at the AGILE 2026 conference investigates how hand-drawn annotations in participatory sketch maps can be automatically extracted and digitized. The authors formulate annotation extraction as an…
This study introduces detour-based indices for alcohol exposure along walking commutes. Survey data estimate detour budgets to assess path-based availability. Results show how different retail regimes affect exposure, informing effective…
This study analyzes five socio-economic factors shaping COVID-19 incidence rates across the 400 German districts. A regression analysis using spatial eigenvector mapping indicates that socio-economic factors might influence incidence less…
Food insecurity projections are a central component of anticipatory action frameworks, particularly in drought contexts. Presented at the AGILE 2026 conference, this paper compares FEWS NET and IPC food insecurity…

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….

This study is based on Celina Thomé’s master thesis. It was presented at the ISCRAM 2026 conference, where it added to conversations about using data-driven methods to improve crisis management,…
A new Open Access paper published in the volume Geography According to Foundation Models by IOS Press explores how Large Language Models could help design stated-preference studies in urban mobility…

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…

Leveraging openly available airborne imagery this study presents a scalable framework for automated road pavement crack detection for spatially guided highway-maintenance….
A new study published in Scientific Reports examines the effectiveness of biological larviciding in controlling invasive mosquito populations in Heidelberg, Germany. Using detailed data, the research highlights how treatment effects…

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…