Image classification Change Detection in IDRISI TerrSet
Change detection is defined as the process of identifying and quantifying the spatial changes of any natural or manmade phenomenon from the satellite images of the different time periods.In this video, we will explore the powerful change detection capabilities of IDRISI TerrSet. Change detection is a crucial task for monitoring and managing natural resources, urban development, and land use changes. With IDRISI TerrSet, you can easily detect changes in different types of data, including satellite imagery, aerial photographs, and LiDAR data.
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we will show you how to perform change detection on classified images using IDRISI TerrSet. We will cover tow methods including CrossTAB & LCM (Land Change Modeler). You will learn how to set up the parameters for each method and how to detect changes on classified images using the aforementioned methods.
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