Ecognition Oil Palm Application Download Link
The application’s first process uses Multiresolution Segmentation to group pixels into "image objects" (individual palm crowns).
Despite the robust design, users often hit snags. Here is a troubleshooting table:
| Error Message | Cause | Solution |
| :--- | :--- | :--- |
| "Missing License Feature 555" | The Oil Palm module requires a specific feature code. | Contact Trimble support to add FEATURE OILPALM to your license file. |
| "Rule-set references undefined class 'Palm_Shadow'" | You downloaded the application but not the accompanying sample project. | Re-download the full ZIP package; the .dcpr file needs a companion .dca (project assets) folder. |
| "Out of memory during segmentation" | The imagery tile is too large for your RAM. | Use the "Tile Processing" algorithm within the application to break the image into 2,000 x 2,000 pixel chunks. |
| Download fails at 90% | Network timeout from Trimble’s CDN. | Use a download manager (e.g., Free Download Manager) or request a direct HTTP link from support. | ecognition oil palm application download
If you are looking to implement oil palm analysis, your "download" process involves three steps:
If you cannot complete the eCognition oil palm application download due to cost or licensing, consider these OBIA alternatives: If you cannot complete the eCognition oil palm
The “download” aspect is deliberately user-friendly, as these tools are designed for rural, low-connectivity environments. Here is the typical process:
Many users try to use the generic "Tree Extraction" algorithm in eCognition Cognition Network Language (CNL). This fails for oil palm because: The dedicated Oil Palm Application solves all three issues
The dedicated Oil Palm Application solves all three issues.
The eCognition Oil Palm Application is a pre-built rule set (a collection of algorithms and semantic logic) designed specifically for the automatic detection and segmentation of oil palm trees from Very High Resolution (VHR) satellite imagery (e.g., WorldView-3, Pleiades, or GeoEye).
Unlike generic vegetation indices, this application can: