Satellite Image-Based Bare Soil Mapping using Earth Engine
Map bare soil easily! Learn to detect and analyze bare ground using Sentinel-2 & Google Earth Engine. No coding needed.
Course Content
Satellite Image-Based Bare Soil Mapping using Earth Engine is an intermediate-level Udemy course taught by Earth's AI. It runs 49m, is taught in English, and includes a certificate of completion. 3 students have enrolled. It is a paid course, first published July 2025.
Unlock the power of satellite imagery for land cover analysis with this practical course! Learn to detect and map bare soil using Google Earth Engine (GEE) and freely available Sentinel-2 imagery. This beginner-friendly guide provides a hands-on approach to understanding land surface conditions, crucial for agriculture, land degradation assessment, urban planning, and environmental monitoring.
You'll gain expertise in:
- Accessing and filtering Sentinel-2 imagery: Master the process of obtaining high-resolution satellite data.
- Median compositing: Minimize the impact of clouds on your analysis for more accurate results.
- Calculating the Bare Soil Index (BSI): Utilize spectral bands to effectively identify areas of exposed soil.
- Thresholding and mapping: Isolate and visualize bare soil zones to create clear, informative maps.
- GeoTIFF export: Prepare your bare soil maps for use in popular GIS software like QGIS and ArcGIS.
This course is perfect for:
- Environmental science students
- Geospatial analysts
- Land management professionals
- Beginners in remote sensing
No prior coding experience is necessary! We use simple JavaScript within the Google Earth Engine platform, with detailed explanations of all scripts. The entire workflow is cloud-based, eliminating the need for expensive hardware or software.
By the end of this course, you'll be able to confidently create bare soil maps using satellite data, providing valuable insights for your region of interest. Gain a practical skillset in remote sensing and contribute to better land management practices.
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