arcgis unsupervised classification
Extract water body from raster data.
Welcome to my channel —your goto destination for insightful tutorials on remote sensing and geospatial analysis! In this comprehensive tutorial, we'll guide you through the process of extracting lakes and water bodies from Landsat 8 satellite imagery using the powerful Unsupervised ISO Cluster Classification method. This technique provides a robust and automated way to identify and delineate water features with precision.
how to extract river shape from landsat image

Tools Used:

Landsat 8 Satellite Imagery
arcgis

Why Unsupervised ISO Cluster Classification?
Understanding the unique advantages of unsupervised classification is key to unlocking the full potential of your Landsat 8 data. We'll explore how ISO clustering autonomously groups pixels based on spectral characteristics, making it ideal for extracting water bodies without the need for predefined training samples.

What You Will Learn:

Introduction to Landsat 8 Data: We'll start with a brief overview of Landsat 8 satellite data, discussing its spectral bands and spatial resolution to set the stage for effective analysis.

Preprocessing Steps: Learn essential preprocessing steps to enhance the quality of your Landsat 8 imagery, ensuring optimal conditions for the subsequent classification process.

Unsupervised ISO Cluster Classification: Dive deep into the Unsupervised ISO Cluster Classification method, understanding the algorithm's inner workings and how it identifies water bodies based on spectral signatures.

Refining Results for Accuracy: Discover techniques for refining classification results to improve accuracy and reduce false positives, ensuring a reliable output for your analysis.

Final Interpretation and Output: Walk through the final interpretation of extracted water bodies, and explore ways to visualize and export your results for further geospatial applications.

Quick Links:

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   • How to download landsat images from u...  

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