remote-sensing

This is an introductory guide on using QGIS SCP (Semi-Automatic Classification/Supervised Classification) for classifying land cover using Landsat data. Before we dive in, let’s start with some key basics. Spectral Vs Informational Classes: Spectral Classes : Group of pixels that are uniform with respect to their pixel values in several spectral bands Informational Classes : Categories of interest to users of the data (i.e Water, Urban, Agriculture, Forest etc) Image classification is the process of GROUPING spectral classes and assgining them informational class names...

This is an engaging course on Machine Learning for Earth Observation. This certification program covers the following seven topics, each with a well-designed quiz at the end. Artificial Intelligence and Data Science in Earth Observation Identifying Ethical Issues and Opportunities in AI in Earth Observation Research Bayesian Estimation in Machine Learning for Earth Observation Self-supervised Learning: Tapping the Power of Unlabeled Data From Text to Image and Back: Image Generation from Text and Change Captioning in - Remote Sensing...