It’s been a while since I was working on the autogen vegetation for Nantucket. It was actually before my summer holiday. Afterwards I thought I would quickly fix some of the reported bugs and then return to this interesting issue. But as always I got carried away by adding some new features to ModelConverterX and so it is only now that I had the time to look at the autogen vegetation detection again.
Before the summer I was working on vegetation detection based on the histogram properties of an area. This worked OK, but sometimes it is hard to distinguish water and vegetation. So this time I tried another approach for which I needed imagery with a near infrared band as well. For Nantucket I was able to get hold of such imagery through the state GIS portal. It seems this kind of imagery is available for more parts of the US for free and in the coming years it is likely to become even more easily available.

Above you see a picture of this imagery. The quality is actually less than the imagery I have used for the photo scenery. But since we want to use it to detect the vegetation it does not matter too much. The most interesting part is the near infrared channel that is included. Below you see a color infrared version of the same area shown before. As you can see the near infrared information lets certain features stand out more.

I found a common approach to detect vegetation, with is called Normalised Difference Vegetation Index (NDVI). This algorithm uses the red channel and the near infrared channel and calculates an index based on that. The higher the value, the more likely it is vegetation. So I have implemented this as an alternative approach compared to the histogram matching algorithm I used before. The first results look better, although it is sometimes still hard to distinguish between a shadow and vegetation for example. Below you see a picture with the detected trees.

I think both algorithms are OK for usage now. So I plan to finish up the GUI I have been working on that allows you to tune the algorithms for the imagery you want to process. And then I will add the vegetation detection feature to scenProc. And given the complexity of the algorithms I will also add some documentation to explain how they works and what the settings of the algorithms do.
SceneryDesign.org
For a long time 3D objects for Flight Simulator could only be developed with a couple of tools. For example FSDS or GMax with the right gamepack. But over the last few years there is a trend to use more and more tools. For example SketchUp is also popular now to make scenery objects. Recently we have also seen more interest in using Blender to design for FS on the FSDeveloper forum. That’s why we have added a special
I think every designer exporting objects to FS2004 has seen the error message on the right at least once. It happens when you export a small object to a FS2004 MDL file with MakeMDL.
In the next development release of ModelConverterX you will find some changes to the “List objects” form. The first change is that this form is now called the “Scenery Objects Editor”. The icon in the toolbar has not changed by the way.
As many of you probably know I am a member of the
In the next development release two new graphical user interfaces will be added. Both for the object report function and for the object image function there is a GUI now.
Until now the development release (or should I just say beta version) of all of my tools was released as one big ZIP file with all the different tools in it. I have changed this now. So from now on you can download a separate ZIP file for each tool. The file contains all files needed to run the tool, so you can install them each in their own folder if you want. I have uploaded the