Morning — Why EO Matters & Fundamentals¶

Day 1 · 09:30–12:30 · Module 1 · Sessions 1 & 2

Session 1 — Why Geoinformatics Matters (09:30–10:30)¶

Slide deck: Day 1 Deck 1 — Why Geoinformatics Matters

The spatial evidence gap¶

IsDB finances projects across dozens of member countries every year — agriculture schemes, water networks, road corridors, schools, health centres. Every project has a location. Many project appraisal documents, however, lack a spatial baseline.

Without a spatial baseline, the absence of spatially referenced data can limit IsDB's ability to:

• Verify that a site was well chosen relative to landscape conditions and risk factors
• Monitor physical change remotely during implementation
• Produce comparable evidence at project completion
• Support independent evaluation of what actually changed on the ground

EO analysis complements rather than replaces field observations, engineering records, environmental safeguards assessments, and stakeholder engagement. The evidence base for a project document should draw on all of these.

How peer institutions use geospatial information¶

Peer institutions in development finance use geospatial information in several complementary ways: geocoding and mapping project portfolios; project identification, site screening and appraisal; environmental and climate-risk screening; remote supervision and field-data collection; monitoring physical outputs and spatial outcomes; impact evaluation and learning; open-data publication and portfolio transparency; and internal geospatial services, platforms and capacity development.

The table below summarises verified initiatives from peer institutions and programmes:

The strongest institutional models combine project geocoding, data governance, reusable analytical services, links to project-cycle decisions, capacity development and appropriate field validation. GEIDA positions IsDB to develop comparable capabilities progressively.

The demand signal from IsDB staff¶

106 staff registered for Batch 1 before training dates were finalised:

Registration spanned operations, evaluation, climate, IT, and management — Regional Hubs (34), CCD (11), ESID (10), IEvD (9), STF (7).

Session 2 — Fundamentals of Earth Observation & Geoinformatics (11:00–12:30)¶

Slide deck: Day 1 Deck 2 — EO Fundamentals

What is Earth Observation?¶

Earth Observation (EO) means gathering information about the Earth's surface from a distance — using satellites, aircraft, or drones. The underlying principle: the sun's energy reflects off the surface, sensors measure the returning signal, and different surface types return different spectral signatures.

A satellite image is not a photograph. It is a grid of pixels, each carrying a measured value. Spectral bands beyond red-green-blue — near-infrared, shortwave infrared — reveal vegetation health, soil moisture, and surface temperature that are not visible to the human eye.

Types of satellite data¶

Geoinformatics and spatial data types¶

Geoinformatics is the discipline of collecting, storing, analysing, and presenting location-based information. Spatial data comes in two forms:

• Vector — discrete features represented by geometry and attributes:

  • Points — a well, a school, a clinic
  • Lines — a road, a canal, a pipeline
  • Polygons — a project boundary, an irrigation command area, a catchment

• Raster — a grid of values covering an area (a satellite image, a rainfall map, a digital elevation model)

The three resolutions¶

Every EO dataset involves three trade-offs:

Spatialising an IsDB project¶

"Spatialising" a project means converting the text description of where it is into actual spatial data — so it can be screened, monitored, and evaluated with EO.

flowchart LR
    A["Text description\n'near Diwadi, north of the river'"] --> B[Coordinates\nlat/lon]
    B --> C["Boundary / Line / Point\n(KML, GeoJSON, Shapefile)"]
    C --> D["Spatial layers\nETa, water, LULC, hazard"]
    D --> E["Evidence for project documents\nPCN → PAD → PIASR → PCR → PPER"]

Once spatial, a project can establish a baseline, include standard maps in its PCN, PAD, or RRM, be monitored remotely during implementation, and have its outcomes assessed at completion — all using the same boundary. Satellite-derived indicators provide one line of evidence; they should be contextualised against field data, engineering records, and programme knowledge.

Continue to Afternoon — Mainstreaming EO & Exercise 1