Morning — Case Studies 1 & 2¶
Day 4 · 09:00–12:30 · Module 5
Slide decks:
New tools introduced on Day 4¶
Before the case studies, two additional platforms were introduced:
EarthMap¶
earthmap.org — risk analysis, land cover, population, climate, and environmental indicators at national and basin scale.
Useful for: - Climate risk screening (drought, flood, heat) - Population exposure analysis - National and regional contextual information for project risk assessments
Strata¶
strata.earthmap.org — extended analytical interface built on EarthMap data.
World Bank Geospatial Platform¶
maps.worldbank.org — shown as context: an example of how a peer development bank presents its projects in spatial context, and the kind of portfolio-level transparency that GEIDA works towards for IsDB.
Case Study 1 — EO Baseline & Site Suitability (09:00–10:30)¶
Groups used data from the Minimum Project Data Submission Form (collected on Day 3) to run a complete eToolkit workflow for a real or representative IsDB project.
Steps:
- Open the eToolkit: etoolkit.terrawatch.net
- Set the Theme (sector), Phase (Identification or Design), and Country for your project
- Import your project boundary (KML from Google Earth, or GeoJSON from GADM) — or draw on the map
- Generate the analysis and wait for processing to complete
- Confirm the boundary displayed matches your intended area and the time range is as expected
- Read the report and identify three findings relevant to a PCN or PAD:
- One about current land cover or site conditions
- One about climate risk or the environmental baseline
- One AI-generated recommendation relevant to your sector
About the AI-generated recommendations
The quantitative values in the eToolkit report — temperature change, land cover proportions, precipitation trend — are derived from satellite and climate model data processing. The AI component generates recommendation text based on those values, filtered by the selected sector and project phase. Review AI recommendations against the underlying indicator values and the specific project context before incorporating them into project documents. Recommendations generated for a generic sector selection may not reflect the particular conditions of an individual project.
Expected output: A one-page summary with: (1) a map of the project area, (2) three bullet points of EO-derived findings, (3) a statement of which project document each finding would go into.
Case Study 2 — Climate Risk Screening (11:00–12:30)¶
Groups used EarthMap and the eToolkit climate projections layer to screen a project area for climate risk.
Steps:
- Open earthmap.org — navigate to your project country
- Explore the climate risk layers: drought risk, flood risk, heat stress, precipitation variability
- Return to the eToolkit report from Case Study 1 — go to the climate projections section
- Identify the top two climate risks for your project area
- Match each risk to a project design consideration:
- Higher temperatures → heat-tolerant design, shading, ventilation
- Increased rainfall variability → wider culverts, higher embankments, drought-tolerant crops
- Flood risk → elevated structures, flood barriers, improved drainage
Expected output: A climate risk screening summary (one page) containing: - A climate risk map of the project area (screenshot from EarthMap or eToolkit) - A table with: risk type | severity | recommended design response - A statement of which project document this would go into (PCN or PAD)
Using EarthMap and eToolkit together
EarthMap provides a rapid overview of risk categories at district or national scale. The eToolkit provides the underlying quantitative data — projected temperature change, precipitation change — for a specific project boundary. Both together give a more complete picture for a climate section in a PAD.
Climate screening from satellite and model data provides an evidence base for design conversations. It does not replace detailed site-specific hydrological or geotechnical studies for high-risk project settings.
Continue to Afternoon — Group Presentations & Closing