• Irrigation Groundwater Assessment (IGwA) Using WaPOR and GEE

     
    Instructors: Ahmed Elnaggar, and Suzan Dehati (IHE Delft)

     

     

    Learning Objectives

    • Develop foundational knowledge of remote sensing technologies, WaPOR and Google Earth Engine (GEE) for water resources management.
    • Apply analytical methods and scripting to evaluate groundwater usage for irrigation, recharge, and regional indicators.
    • Compare modeling results with local survey data to enhance the accuracy of water resource assessments methods.
    • Co-develop and maintain interactive Streamlit dashboard for visualizing and analyzing IGwA data to support decision-making.

     

    Course Structure

     

    • Weekly Online Sessions: 1-2 hours per session.
    • Assignments: Technical Report & Presentation.
    • Q&A Opportunities: During sessions or via email to:
      • Ahmed Elnaggar: a.elnaggar@un-ihe.org
      • Suzan Dehati: s.dehati@un-ihe.org
     
    Training Schedule

    No.

    Topic

    Syllabus

    Date

    1

    Chapter 1: Introduction to Remote Sensing, WaPOR and GEE Tools (Elnaggar)

    1.1. Role of Remote Sensing in Water Resource Management

    1.2. Overview of WaPOR v3

    • MOOC: WaPOR introduction (version 3)
    • MOOC: Python for Geospatial Analyses using WaPOR Data (MOOC)

    1.3. Overview of Google Earth Engine (GEE)

    1.4. Fundamentals of IGwA

    30th April 2025

    2

    Chapter 2: Setting Up GEE Pipelines and Downloading WaPOR Data (Elnaggar)

    2.1. Setting Up GEE with Google Cloud Project

    2.2. Adding Shapefiles as GeoJSON assets to enable advanced operations in GEE.

    2.3. Automating, preprocessing, and uploading of WaPOR L1 and 3 geospatial data to Earth Engine

    		 30th April 2025 - 7th May 2025

    3

    Chapter 3: GEE and WaPOR: From Data Preprocessing to Analysis (Elnaggar)

    3.1. Prepare and visualize geospatial datasets

    3.2. Extract temporal trends of key hydrological components

    3.3. Transform data into forms suitable as inputs for the groundwater modeling

    		 7th May 2025

    4

    Chapter 4: Modeling Irrigation Groundwater Dynamics: Abstraction and Recharge (Elnaggar)

    4.1. Application of Saxton & Rawls equations and Thornthwaite-Mather calculations.

    4.2. Integrating WaPOR data with GEE soil property datasets.

    4.3. Modeling infiltration, storage, and recharge processes.

    4.4. Assessing groundwater abstraction for irrigation with practical examples.

    		 7th May 2025

    5

    Chapter 5: Spatial and Seasonal Analysis per field (Dehati)

    5.1. Seasonal Field Analysis and Management Recommendations using QGIS

    		 Tbd

    6

    Chapter 6: Model Validation, and Stress Indicators (Elnaggar)

    6.1. Data integration techniques using python (ongoing)

    6.2. Modelling Data/Trends comparisons with measured data 

     27th May 2025

    7

    Chapter 7: Introduction to IGwA dashboard for visualizing and communicating findings (Elnaggar)

    7.1. Introduction to the Dashboard Capabilities

    7.2. Tbd: Co-development of the Dashboard (Note: Potentially, individuals will be identified and trained to develop, maintain and update the dashboard upon project completion).

    29th May 2025
     

    Final ppt 

    		  

    28th July 2025

     
    Prerequisites

    Participants should have:

    • A basic understanding of GIS, remote sensing, and Python.
    • Access to a computer with an internet connection, Python installed, and QGIS software.

     

     
    Assignments and Certification

    To earn a Certificate of Completion, participants must:

    • Attend at least 80% of training sessions.
    • Complete and submit assignments by their respective deadlines.