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Good news for remote sensing industry and for the satellite images users. WorldView-3 images will be accessible for public (not for free ) starting from may 2015 ! WorldView-3 images will have the best spatial resolution existing, for civilian customers: 0.31 m for b&w band and 1 m for multispectral bands. http://www.spacenews.com/article/civil-space/40874us-government-eases-restrictions-on-digitalglobe I belive this event and future events for new and better high-resolution satellite images developments will force also the image interpretation and information extraction softwares to develop. New or improved techniques such as Object-based Image Analysis (OBIA- eCognition) will probably benefit from this new era of remote sensing industry. Softwares and applications that will better incorporate Remote Sensing with GIS and statistics will be forced to develope to keep up with technology evolution.

Woo It would be great..I am daying of waiting for 2015

Oil palm tree counting is a quite simple application. You can simply use following methods: 1. Ravine extraction (Honda Kyioshi): Based on the fact that the top canopy is the brightest point. The ravine (or the valley between 2 trees) looks darker. Doing it, you wil be able to locate the central point of each tree. Then counting is some simple works to do aftewards. 2. Local threshold texture matching: Requires some programming tasks. Get the individual trees as samplings (with different sizes of canopy) and then match them over the whole image. The matching algorithm can be image correlation or histograming matching. I already did it with VB programming and it works perfectly. By doing this, you can also be able to map individual trees. All of this is based on RGB image. For better results, mask the plantation areas before running the procedure. Of course there are several other options to do. If you want to operate the procedure in an automatic way, the programming skill is needed.