Unlike traditional pixel-based classification, this tool uses Object-Based Image Analysis (OBIA). It groups neighboring pixels into meaningful vector objects. The software analyzes shape, texture, context, and spectral signatures. This approach provides unmatched accuracy in identifying individual oil palm crowns. Key Features and Capabilities 1. Automated Tree Counting
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Follow the installation instructions provided in the following section. download ecognition oil palm application 2.0
: Results can be exported directly into standard GIS formats (like ESRI Shapefiles) for use in digital or printed field maps. geosys.co.kr Download and Access Existing Customers
Complete Guide to eCognition Oil Palm Application 2.0: Download and Implementation : Results can be exported directly into standard
Download: eCognition Oil Palm Application 2.0
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: A new, guided graphical user interface makes powerful analysis tools accessible to production-oriented users without requiring extensive remote sensing expertise.
eCognition Oil Palm Application 2.0 is a domain-specific project built on the eCognition platform for automated oil-palm plantation mapping and analysis. The application typically includes rule sets, object-based image analysis workflows, and example datasets enabling classification of oil palm plantations from high- or very-high-resolution satellite or aerial imagery. How to Download and Install
Beyond simple counting, the software classifies trees by crown size and identifies health deviations based on leaf color. How to Download and Install