Evapotranspiration Mapping in Google Earth Engine (SEBAL)

Unlock the power of remote sensing for agricultural monitoring with this comprehensive course! Learn to develop a robust SEBAL (Surface Energy Balance Algorithm for Land) script in Google Earth Engine (GEE), the leading platform for geospatial analysis.

This hands-on course provides a step-by-step guide to implementing the most widely used evapotranspiration model for assessing water use in agricultural areas. You'll gain practical skills in scripting with GEE or JavaScript and applying advanced remote sensing techniques.

What you'll learn:

• SEBAL Modeling: Master the Surface Energy Balance Algorithm for Land to accurately estimate evapotranspiration.
• Google Earth Engine Scripting: Develop and customize GEE scripts for remote sensing analysis.
• Agricultural Applications: Apply SEBAL to analyze agricultural fields, using a real-world example from the Dubai Emirate, UAE.
• Practical Workflow: Benefit from a course heavily focused on practical application – almost 90% of the course is dedicated to hands-on exercises. Each practical section includes a downloadable script in TXT format.
• Evapotranspiration Expertise: Enhance your understanding of evapotranspiration principles.

Course Requirements:

• A free Google Earth Engine profile.
• Basic to intermediate scripting skills in GEE or JavaScript.

Bonus Resources:

• Two free QGIS plugins specifically developed for this course:
  • Calculate instantaneous reference evapotranspiration.
  • Determine correlation coefficients.

This course is designed to be adaptable – easily applied to your own remote sensing projects. Boost your skills in remote sensing, Google Earth Engine, and agricultural science!