Remote Sensing for Agricultural Water Management
Develop skills to use remote sensing data for estimating high resolution agricultural water use (evapotranspiration) and biomass production for your own area of interest and utilise this data for water productivity and irrigation performance assessment.
For whom?
Young and mid-career professionals, engineers and technicians and academics involved in irrigation system management in various government and non-government organizations.
Prerequisites
Certificate from self-paced online course on python essentials for geospatial analyses.
AND
Proven work experience in GIS and/or Remote Sensing
Required skills: Preferably QGIS (or other GIS software); programming (preferably python), Microsoft Office (Word, Excel, PowerPoint)
Learning objectives
- Apply a remote sensing based approach to estimate high resolution actual evapotranspiration and biomass production
- Explain the use of remote sensing in assessing water use and biomass production in agriculture
- Conduct irrigation performance assessment at a scheme level using indicators such as water productivity, adequacy, beneficial fraction and equity
Course content
Monitoring and assessing land and water use in agriculture is key to understand the resource usage and plan interventions for ensuring sustainable use. Obtaining such information using field based methods is challenging due to several factors such as cost, practicality in terms of coverage, maintenance for long term support. Remote sensing offers a reliable alternative in monitoring the key variables continuously and at an unprecedented scale.
In this short course, application of remote sensing techniques to assess the performance of irrigation by estimating water use (Evapotranspiration) and agricultural production (crop yield/biomass) are covered. The course is designed to allow participants to apply the skills developed on their own case study. Participants will learn from data acquisition to retrieving key information on land and water use through lectures and connected hands-on exercises.
Following topics will be covered:
- Overview of remote sensing applications in agricultural water management
- Remote sensing based methods to compute evapotranspiration using satellite data
- Remote sensing based crop yield and water productivity assessment
- Remote sensing for irrigation performance assessment
Throughout the course we will be using open source softwares and libraries and open access data.
The course will be evaluated through formative and summative assessments. Formative assessments are designed through quizzes and reading/reflection exercise. Two reports containing results, analysis and reflection have to be submitted as final summative assessment to obtain the academic credits and transcript.
Additional information:
Chukalla, A. D., Mul, M. L., van der Zaag, P., van Halsema, G., Mubaya, E., Muchanga, E., den Besten, N., and Karimi, P.: A framework for irrigation performance assessment using WaPOR data: the case of a sugarcane estate in Mozambique, Hydrol. Earth Syst. Sci., 26, 2759–2778, https://doi.org/10.5194/hess-26-2759-2022, 2022.
IHE Delft, 2024. WaPOR Irrigation Performance Assessment (WaPORIPA) github repository.
IHE Delft, 2024. MOOC Python for geospatial analyses using WaPOR data
FAO, 2024. PyWaPOR repository.
Course Coordinator
Marloes Mul
Associate Professor of Water Resources Management
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