06 Sep 2021
14 Sep 2021

Develop skills to use remote sensing for land cover classification, estimating evapotranspiration, water productivity, irrigation performance assessment & irrigation water accounting.

For whom?

Young and mid-career professionals, engineers and technicians and academics involved in agricultural water and irrigation system management in various government and non-government organizations.


General knowledge about remote sensing and GIS and their application in water related issues


Start: 06 September 2021
End: 14 January 2022

Start: 05 September 2022
End: 13 January 2023

Learning objectives

Upon completion, the participant should be able to:

  • Explain RS theory, technology, typical applications of earth observation data
  • Download, pre-process satellite data, extract biophysical features, derive and analyse vegetation indices in agricultural systems
  • Perform land cover classification using time series satellite data through application of machine learning algorithms in desktop and cloud based platforms
  • Explain the theory and implement surface energy balance model to estimate Evapotranspiration (ET), biomass production, and Water Productivity (WP)
  • Assess the irrigation performance using remote sensing, interpret them to identify gaps, diagnose water management problems, and attribute to relevant factors for improvements