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Day 5: Time Series Analysis, Spectral Indices & Decision Support

Welcome to the final day of the training program. Today we bring together everything we have learned. We will focus on Time-Series Analysis (tracking changes over years and seasons), generating Spectral Indices (NDVI, NDWI, NDBI, SAVI), automating our tasks with the QGIS Model Builder, and compiling map layouts to support environmental decision-making.

The day concludes with an integrated Capstone Practical and group presentations.

Learning Objectives

By the end of today's sessions, you will be able to:

  • Execute time-series analysis on multi-temporal satellite images to track river migrations or reservoir changes.

  • Generate diverse indices (NDVI, NDWI, NDBI, SAVI) to model vegetation, water, and built-up areas.

  • Delineate drought indices and monitor agricultural water stress.

  • Automate repeatable spatial analyses using the QGIS Graphical Model Builder.

  • Apply AI assistants to troubleshoot Python scripts and QGIS expression formats.

  • Produce print-ready map booklets and interactive reports for executive policy reviews.

Day 5 Learning Roadmap

flowchart TD
    subgraph Row1 [" "]
        direction LR
        A["1. Time-Series & Indices<br/>(NDVI/NDWI/SAVI)"] --> B["2. Automation Workflows<br/>(Model Builder)"] --> C["3. Cartography & AI<br/>(Print Layouts & scripts)"]
    end
    subgraph Row2 [" "]
        direction RL
        D["4. Capstone Project<br/>(Integrated Modeling)"] --> E["5. Wrap-up & Roadmap"]
    end
    C --> D

    style A fill:#f9f9f9,stroke:#333
    style E fill:#d2f8d2,stroke:#2b8a2b,stroke-width:2px
    style Row1 fill:none,stroke:none,stroke-width:0px
    style Row2 fill:none,stroke:none,stroke-width:0px