Latest Posts
Remote Sensing Remotely – Learning eCognition Online in Norway
Our team recently supported the University of Bergen in getting their Spring remote sensing course up and running for a number of Masters students confined to quarters by COVID-19. eCognition Developer licenses were provided to all course participants for the duration of…
Vegetation Mapping in Brittany – Seeing the Big Picture for the First Time
About a year ago, I had the pleasure of visiting one of our Trimble eCognition customers in Brest, France. The team at the National Botanical Conservatory of Brest (CBN) has one of the largest eCognition software constellations in France and…
Featured Posts
Mapping the Evolution of a Landslide
Back in 2018 we reported on some interesting research being done by Daniel Hölbling ( Department of Geoinformatics—Z_GIS , University of Salzburg) and his colleagues on landslide detection, monitoring and forecasting. Since then he has been continuing this research and recently…
Quantifying the Release of Methane in Winter Lakes with eCognition
Recent studies have shown that our oceans are warming at rates greater than initially forecast and increasing the negative impacts of global warming and sea level rise as polar ice melts.
Unfortunately, melting ice and increased ocean temperatures are not the only water-related…
Field Boundary Delineation with Multi-Temporal Sentinel-2 Imagery
We are often asked how Trimble eCognition can be used to detect agriculture fields from imagery and we typically tell our users to consider a multi-temporal analysis approach as fields change through time depending on the growing season and crop type. Our…
Automating the Detection of Early Season Weeds in Agricultural Fields
We finished 2018 with an article on precision agriculture and therefore it only seems appropriate to launch the new year with another piece on precision agriculture. Only this time we will be looking between the rows (excuse the pun). The paper from…
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