DHM data is often stored as floating point values in 32-bits, but in the end we want a tif with byte (or uint8) bands. The first step is to save a rendered version of the DHM tif. We want to build our false color image with the red and green bands of the RGB image combined with the DHM. A DHM (digital height model) image, that is initially of float type.Creating a false color image in QGISĪs an example scenario for this article, we’ll use : We will be using QGIS version 3.4, but new versions should work as well.
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In this article, we’ll discuss how to create such false color images in QGIS. If you then upload this image on the Picterra Platform, our algorithms will learn from those 3 bands and will therefore learn from the DHM data! The third band is a DHM band (replacing the usual blue band).The second band is the green band (as usual).The first band is the red band (as usual).Instead, you could for example do a false color image where: However, we are not limited to this type of false color. This has been the typical false color images in remote sensing for decades, extremely useful for applications related to vegetation. A false color image is an image with 3 bands, but where those bands are not the typical Red, Green and Blue.Very often, you will see false color images which replaces the red channel by the NIR band, the green channel by the Red band and the blue channel by the Green. The key to process those additional bands is to create a false color image. Although the Platform is limited to processing 3 bands, those bands don’t have to be RGB bands. Use other bands than RGB from a multispectral sensorĪll of this is actually possible on our Platform.Use the Digital Surface Model (DSM) or Digital Height Model (DHM) in an urban setting.Take advantage of their Near-Infrared (NIR) band for some of their agriculture applications.We often get asked about using images that are not simply RGB in our Platform. Start combining different information altogether to improve your detector.