In this video, we explore how to utilize the land cover classification deep learning model to automate the process of classifying land cover from Landsat 8 scenes. We begin by downloading the model from the Living Atlas and ensuring that the necessary deep learning libraries from Esri are installed in ArcGIS Pro.
Next, we navigate to the Analysis tab in Pro and locate the ‘Classify Pixels Using Deep Learning’ geoprocessing tool. We specify the input Landsat 8 scenes, the downloaded model, and adjust various settings such as cell size and processing extent. By leveraging the GPU processor, the tool harnesses the power of deep learning to analyze the Landsat imagery and classify land cover. The resulting output provides valuable insights into the land use patterns of the study area.