Data on mobility behavior can yield valuable insights that are beneficial for various applications such as public policy, emergency response, and urban planning. As the availability of freely-accessible mobility data is limited, the attention to X (formerly known as Twitter) … Read More
English
New Paper: “UAV-Assisted Municipal Solid Waste Monitoring for Informed Disposal Decisions”
Solid waste pollution is the cause of many environmental and health risks, especially in areas where waste is generated in large quantities but cannot be properly disposed of. Knowledge of the size and location of dump sites is required to … Read More
New Paper: “Enriching building function classification using Large Language Model embeddings of OpenStreetMap Tags”
Rapid global urbanization is placing immense pressure on planners to make informed decisions that promote sustainable growth. A crucial aspect of this challenge is understanding how urban buildings are used. Traditionally, classifying the function of buildings—such as residential or commercial—relies … Read More
New Paper in Nature ‘Scientific Reports’: „High-resolution Mapping of Urban Aedes Aegypti Immature Abundance Through Breeding Site Detection Based on Satellite and Street View Imagery“
Knoblauch, S; Su Yin, M.; Chatrinan, Krittin; Rocha, Antonio A. de A.; Haddawy, P.; Biljecki, F.; Lautenbach, S.; Resch, B.; Arifi, D.; Jänisch, T.; Morales, I.; and Zipf, A published the paper ‘High-resolution mapping of urban Aedes aegypti immature abundance … Read More
![Figure 1. Total carbon fluxes related to LULCC in Baden-Württemberg between March 2018 and October 2019 (LaVerDi, OSMlanduse+), and March 2018 and March 2020 (OSMlanduse, OSMlanduse cleaned). The upper plot shows the relative difference of carbon fluxes [%] with respect to LULC transition and carbon flux attribution method. The carbon fluxes of method 1 are set to 0. The lower plot shows the total absolute carbon fluxes [Mg C] calculated with carbon flux attribution method 1 with respect to LULC transition and LULCC method.](https://heigit.org/wp-content/uploads/2023/05/ed501d68-7952-4263-a23e-a5f8a81fa7a4.png)
New Paper: Carbon Fluxes Related to Land Use and Land Cover Change in Baden-Württemberg
Featured Image: Figure 1. Total carbon fluxes related to LULCC in Baden-Württemberg between March 2018 and October 2019 (LaVerDi, OSMlanduse+), and March 2018 and March 2020 (OSMlanduse, OSMlanduse cleaned). The upper plot shows the relative difference of carbon fluxes [%] … Read More
Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning
Large-scale mapping activities can benefit from the vastly increasing availability of earth observation (EO) data, especially when combined with volunteered geographical information (VGI) using machine learning (ML). High-resolution maps of inland surface water bodies are important for water supply and … Read More
Mapping physical access to health care for older adults in sub-Saharan Africa and implications for the COVID-19 response: a cross-sectional analysis
New paper published on healthcare access in Sub-Saharan Africa It is almost a year since SARS-CoV-2 first emerged in China. The virus spread all over the world. Countries south of the Sahara did not receive much attention. Although outbreaks here … Read More
GIScience for physical activity research
GIScience methods are becoming more and more widespread in different domains. A current review article under involvement of HeiGIT researchers discusses the potential of ambulatory assessments and GIScience approaches for physical activity research. The article is on of the outcomes … Read More
Detecting OSM Building Facades with Graffiti Artwork Based on Street View Images and Social Media using Deep Learning
As a recognized type of art, graffiti is a cultural asset and an important aspect of a city’s aesthetics. As such, graffiti is associated with social and commercial vibrancy and is known to attract tourists. However, positional uncertainty and incompleteness … Read More