Feed on
Posts
Comments

Tag Archive 'Sentinel'

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 natural disaster mitigation as well as for monitoring, managing, and preserving landscapes and ecosystems.
In a [...]

Read Full Post »

The “11th International Conference on GIScience” 2021 started!  Our full paper related to MeinGrün project and openrouteservice will be presented this Tuesday 13:30 CET in Session 3 “Mobility”:
13:30-13:45: Christina Ludwig, Sven Lautenbach, Eva-Marie Schömann and Alexander Zipf. Comparison of simulated fast and green routes for cyclists and pedestrians.
Routes with a high share of greenery are [...]

Read Full Post »

Public urban green spaces are important for the urban quality of life. Still, comprehensive open data sets on urban green spaces are not available for most cities. As open and globally available data sets, the potential of Sentinel-2 satellite imagery and OpenStreetMap (OSM) data for urban green space mapping is high but limited due to [...]

Read Full Post »

Gullies are landforms with specific patterns of shape, topography, hydrology, vegetation, and soil characteristics. Remote sensing products (TanDEM-X, Sentinel-1 and Sentinel-2) serve as inputs into an iterative algorithm, initialized using a micro-mapping simulation as training data, to map gullies in the [...]

Read Full Post »