Dynland software identifies natural land cover classes from EO imagery using a human-intelligence-based, non-parametric, unsupervised image analysis algorithm created by the Institute of Electronics and Computer Science for ESA.
What can Dynland do for you?
Partition any land image into meaningful clusters
Identify areas with similar properties and similar conditions easily
Uncover hidden patterns
Target inaccessible areas
Identify true land cover distribution, structures and anomalies
Try our services for your next land cover classification project
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