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  • Agenda

    Agenda

    All time in Tehran zone:

    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

    July 5, 16:00 - 18:00




    July 7, 14:00 - 16:00


    Live session - Lecture (2 hours)




    Live session – Lecture & Hands on (2 hours)


    - Introduction to the module and participants

    - Introduction to Remote sensing for agriculture water management and spatio-temporal analysis

    - Setting up processing environment, acquiring required data.


    - Introduction to PySEBAL

    - Case study introduction

    Self pace – Lecture videos/Tutorial

    Setting up PySEBAL for the study period

    Week 2: July 10 - 15

    July 12, 16:00 - 18:00




    July 14, 16:00 - 18:00




    Live session - Lecture (2 hours)




    Live session – Lecture & Hands on (2 hours )



    - Q&A session

    Introduction to command line scripting and spatio temporal analysis

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



    - Q& A Session; Live support

    - 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

    July 22, 16:00 - 18:00


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

     


    - Gap filling using Local weighted regression

     

    Self paced

    Exercise: Run PySEBAL for assigned dates

    Week 4/5: July 24 - Aug 2

    July 26, 16:00 -18:00




    July 28, 16:00 - 18:00



    Aug 2, 16:00 - 18:00


    Live session and/or recorded videos (2 hours)




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


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


    - Demonstrating the spatio-temporal gapfilling procedure

    - Filtering of outliers based on percentiles

    - Extending the procedure to other time periods


    - WaPOR data introduction and processing

    - Landcover based temporal statistics


    - Q&A; Assignment discussion, groups

    Self paced / Assignment

    Exercise: Comparison of WaPOR Seasonal data versus PySEBAL seasonal data