![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)
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
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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