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.

Prerequisites

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

Dates

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