• Agenda

    The timing of live sessions (of Main course in July) to be added

    Date/Week

    Activity

    Content

    June 5 – 30

    Preparatory course

    Introduction to remote sensing

    Satellite data analysis in QGIS

    Introduction to remote sensing for evapotranspiration mapping

    Additional materials on Python programming and command line based data processing.

    Week 1

    July 3 - 8

    Live session - Lecture (1.5 hours)

    Live session – Lecture & Hands on

    (1.5 hours)

    Live Session -Q&A/Discussion (1 hour)

     

     

    Introduction to the module

    Introduction of participants

     Lectures:

    - Introduction to spatio-temporal analysis

    - Setting up processing environment, acquiring required data.

    - Q&A session

    Self pace – Lecture videos/Tutorial

    Additional reading on PySEBAL and post processing

    Week 2

    July 10 - 15

    Live session - Lecture (1.5 hours)

    Live session – Lecture & Hands on

    (1.5 hours)

    Live Session -Q&A/Discussion (1 hour)

     

    Discussion on additional reading

     Lectures:

    - Introduction to PySEBAL

    - Case study introduction

    - Acquiring and pre-processing meteo data for PySEBAL using scripts

     Trouble shooting of common installation issues if needed

    Self pace – Lecture videos/Tutorial

    Download of remote sensing/meteo data for case study

    Exercise: Spatial analysis using command line

    Week 3

    July 17 – 22

    Live session – Lecture/Hands on demonstration (2 hours)

    Live Session -Q&A/Hands-on (2 hours)

     

    Presentation and exercises:

    - Gap filling using Local weighted regression

    - Preparing data for spatio-temporal interpolation

     Trouble shooting of Hands-on exercise issues

    Self paced / homework

    Exercise: Spatio-temporal interpolation for gap-filling

    Week 4

    July 24 - 29

    Live session and/or recorded videos (2 hours)

     

    Live Session -Q&A/Hands-on (2 hours)

     

    Lecture:

    - Filtering of outliers based on percentiles

    - Extending the procedure to a larger area

    - Landcover based temporal statistics

    - WaPOR data introduction and processing

    Self paced / Assignment

    Exercise: Comparison of WaPOR Seasonal data versus PySEBAL seasonal data