Category: Python
WASCAL MSc Program course on spatial data analysis
As part of the project WASCAL-DE-Coop, the Department of Remote Sensing at the University of...
Read MoreWorkshop Report at the Department of Remote Sensing – March 17, 2021
by Sarah Schoenbrodt-Stitt | Mar 9, 2021 | events, Projects, Python, Software, Uncategorized, WASCAL-DE-Coop, West Africa | 0 |
We are glad to announce our next workshop report at the Department of Remote Sensing! On the 17th...
Read MoreDevLab 2020: EO Data Cube Workshop by Steven Hill
In our Department’s first DevLab workshop of 2020, Steven Hill will give an introduction into the Open Data Cube infrastructure of our Department and demonstrate the cube’s web and Python user interfaces.
Read MoreExtracting the central strip from LANDSAT 7 imagery
by Dept. of Remote Sensing | Feb 8, 2016 | News, Python, Software | 0 |
Here is a simple Python code to extract the central strip from Landsat 7 imagery (SLC-off),  that is not affected by the SLC failure. The algorithm shrinks the striping zones through a morphological filter (erosion) and creates...
Read MoreManaging raster data with PostGIS and Python
by Dept. of Remote Sensing | Feb 3, 2016 | Python, Software | 0 |
PostGIS is the spatial extension of the open source database management system PostgreSQL. It helps you to manage your data (vector and raster) within a coherent geodatabase through a variety of spatial functions. Having a...
Read More
news blog by
the Remote Sensing Department
at the University of Würzburg
Institute of Geography and Geology
Oswald Külpe Weg 86
97074 Würzburg
Recent Tweets
-
New GeoSens Trainings at the Department of Remote Sensing – Registration is opremote-sensing.org/new-geosens-tr…ij6
-
Video context on migration in West Africaremote-sensing.org/video-context-…V
-
WASCAL Director of Research at the Department of Remote Sensingremote-sensing.org/wascal-directo…y
-
AgriSens DEMMIN 4.0 field work – mission completremote-sensing.org/agrisens-demmi…atz
-
a while ago we posted: M.Sc. handed in: Quantifying land cover change using remote sensing dataâ€twitter.com/i/web/status/1…1M