Online course Remote Sensing for Agricultural Water Management

In this course participants develop skills to use RS for land cover classification, estimating Evapotranspiration, water productivity, irrigation performance assessment & irrigation water accounting.
Subject 1: Introduction to Earth observation and remote sensing techniques:
Basics of RS and spatial data; introduction to common RS data portal; earth observation satellites; applications and products; exercises on need analysis and acquiring data.
Subject 2: Remote Sensing data analysis:
Overview of RS data processing flow; satellite data pre-processing; mapping and visualizing spatial data; image analysis; exercise on deriving vegetation indices, zonal statistics using open source software and libraries.
Subject 3: Land cover classification:
Land cover classification theory; algorithms; machine learning approaches; ground truthing methods; accuracy assessment; exercises on land cover classification using open source QGIS and cloud based Google Earth Engine.
Subject 4: Remote sensing for Evapotransipration, biomass production and water productivity assessment:
Theory of Surface Energy Balance Algorithm for Land (SEBAL); Intro to Python-based implementation of SEBAL; exercise on running pySEBAL to estimate evapotranspiration, biomass, and water productivity.
Subject 5: Remote sensing for enhancing performance of irrigation systems:
Assessment of the irrigation performance ...