Satellite Remote Sensing Data Bootcamp With Opensource Tools
Pre-process and Analyze Satellite Remote Sensing Data with Free Software
Created by Minerva Singh
Gain hands-on experience working with real satellite remote sensing data using popular open source tools. Learn practical techniques for downloading, pre-processing, and analyzing imagery without the need for expensive software. Build a strong foundation in geospatial analysis and remote sensing applications.
Packt | Nov 2019 | 240 min
What You Will Learn
You will work directly with real satellite datasets, using open source tools like R, QGIS, GRASS, and ESA-SNAP. Step-by-step guidance helps you master essential tasks such as data acquisition, pre-processing, classification, and analysis. By applying these skills to practical examples, you'll develop confidence in handling remote sensing projects from start to finish.
Key Features
- Download and process satellite imagery using free, widely used GIS software
- Apply supervised and unsupervised classification to real-world remote sensing data
- Use machine learning and mapping techniques for habitat suitability analysis
Target Audience
Ideal for GIS analysts, ecologists, conservation practitioners, geographers, and geologists who already have some experience with spatial data. If you want to expand your skills in satellite data analysis using free tools and are looking to apply remote sensing in your work or research, this training is a great fit.
