Use high-resolution ortho-imagery (RGB or NIR) and a digital surface model (DSM) generated from UAV flights.
Once detected, trees are classified into crown size categories (large, medium, small) and analyzed for health status based on color deviations (anomalies). ecognition oil palm application download best
A free, time-limited version available for professionals wishing to test the software before purchasing. Use high-resolution ortho-imagery (RGB or NIR) and a
Traditional pixel-based classification struggles with high-resolution satellite and drone imagery. Pixels inside a single tree crown can vary wildly in color due to shadows and highlights. eCognition solves this by grouping pixels into meaningful "objects." 1. Automated Tree Crown Detection including block area
By comparing historical satellite imagery with current datasets, eCognition performs change detection analysis to highlight unauthorized land clearing or boundary breaches.
The solution provides detailed data, including block area, total palm count, average stand density ( ), and health status. 5. Tips for Optimal OPA Results
Automatically locates and counts individual trees.