Skip to content

Morning — Spatialising IsDB Projects (PCN–PCR)

Day 2 · 09:00–12:30 · Modules 2 & 3


Session 4 — Spatialising IsDB Projects from PCN to PCR (09:00–10:30)

Slide decks — three worked examples of the same framework:


The spatialisation procedure: PCN to PCR

Day 2 introduced a step-by-step procedure for spatialising a project through its full lifecycle. The same boundary and data approach applies regardless of sector — agriculture, water, infrastructure, health, education.

What to collect at each stage:

Stage Document What to collect How to get it
Identification PCN Site coordinates / rough boundary · feasibility layers Google Earth Web · GADM · GeoBoundaries
Preparation PPRR Refined boundary · area of influence Google Earth KML export · admin boundary download
Design PAD / RRM Detailed boundary · hazard/land-use/climate layers eToolkit · WaPOR · EarthMap
Supervision PIASR Same boundary + monitoring period eToolkit (same boundary, new time window)
Completion PCR Same boundary + end-line date eToolkit baseline vs end-line comparison
Post-evaluation PPER Same boundary + 3–5 years post-completion Long-term trend from eToolkit / GEIDA platform

Why the same boundary matters

From PCN to PPER there can be a gap of ten or more years. Without a stored spatial boundary in a project database, a consistent before/after comparison at evaluation is not possible. The Minimum Project Data Submission Form (introduced on Day 3) begins to address this.

Three worked examples

The three versions of the Day 2 slide deck demonstrate the same approach for:

A generic project area used to introduce the methodology — shows how to go from a text description to a boundary, then to an eToolkit report, step by step.

An irrigation scheme project: boundary corresponds to the command area. Key EO-derived indicators: actual evapotranspiration (ETa), relative root zone soil moisture (RZSM), surface water extent, Land Use / Land Cover (LULC). Relevant documents: PAD (environmental baseline, water availability), PIASR (crop status, irrigation efficiency), PCR (irrigated area change before/after). These satellite-derived indicators complement, rather than replace, field measurements and engineering records.

A road corridor project: the spatial element is a line plus a buffer zone (e.g. 1–5 km). Key indicators: land cover within buffer, flood risk, population exposure, settlement density. Relevant documents: PCN (feasibility, hazard screening), PAD (alignment options, environmental assessment), PCR (construction progress assessment), PPER (infrastructure condition, economic activity change).


Bio-physical EO analysis (10:00–10:30)

Earth Observation provides a range of bio-physical indicators that map onto IsDB sectors:

Indicator What it measures Relevant sector(s)
RZSM (Relative Root Zone Soil Moisture) Soil moisture availability in the root zone, as a fraction of saturation Agriculture · Water · Environment
ETa (Actual Evapotranspiration) Water consumed by vegetation and bare soil through evaporation and plant transpiration Agriculture · Water · Irrigation
Surface water extent Mapped water bodies and change over time Water · WASH · Flood risk
Land Use / Land Cover (LULC) Classification of surface types All sectors
Topography / DEM (Digital Elevation Model) Elevation and slope Infrastructure · Flood risk · Agriculture
Nighttime-light intensity Emitted light at night — indirect proxy for electrification and economic activity Energy · Urban · Economic development
Precipitation trends Rainfall patterns over time Agriculture · Water · Climate
Surface temperature change Land surface temperature trends Climate · Health · Infrastructure

These are satellite-derived or modelled products. Each has associated accuracy characteristics, temporal depth, and geographic coverage that should be checked against project requirements.


Exercise 2 — eToolkit Continued (11:30–12:30)

Building on Exercise 1, participants applied the eToolkit to a more specific project-relevant area — selecting the correct Theme for their sector and a relevant Phase to obtain outputs aligned to an actual project document.

Key difference from Exercise 1: move from a generic exploration to a sector-specific analysis:

  • Agriculture project → select Agriculture theme → ETa, RZSM, and water productivity outputs become more relevant
  • Infrastructure project → select Infrastructure → LULC, flood risk, and climate projections are emphasised
  • Water project → select Water → surface water, precipitation, and groundwater trend outputs are highlighted

Participants also explored using a project boundary downloaded from GADM (as GeoJSON, imported into eToolkit) rather than drawing one manually.

Quality check before interpreting results

Confirm the displayed boundary matches your project area, the time range shown is correct, and results panels are complete before drawing conclusions from the report.


Continue to Afternoon — GEIDA Opening & WaPOR