🌍 Welcome to The Geo Mapping – Learn GIS, Remote Sensing & Mapping Made Easy!

Unlock the power of Machine Learning for your geospatial projects! This comprehensive tutorial teaches you the step-by-step process of performing Artificial Neural Network (ANN) Classification in ENVI (The Environment for Visualizing Images).

You will learn how to:

Prepare your remote sensing imagery for supervised classification.

Collect and define accurate Training Data/Regions of Interest (ROIs) in ENVI.

Configure the ANN (Neural Network) classifier parameters for optimal results.

Run the classification process to generate a Land Use/Land Cover (LULC) map.

Analyze and refine your final classified image.

ANN is a powerful machine learning technique that often provides superior accuracy compared to traditional classifiers like Maximum Likelihood. Perfect for students, researchers, and professionals looking to apply advanced Remote Sensing and GIS techniques.

📍 Subscribe now and start your journey in GIS, Remote Sensing, and Geospatial Technology today!

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