Latest 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…
New website for Trimble eCognition
The Trimble eCognition team is excited to announce the launch of our new website. Our new homepage is an information hub for all levels of eCognition users - from potential customers looking for details on software functionality to existing users interested in…
Featured Posts
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…
Tree Species Classification with Trimble eCognition
A Russian proverb states that “it takes all kinds of trees to make a forest”, but what kind of trees are in our forests? I am frequently asked whether it is possible to identify individual tree species with eCognition and often times…
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