Spatial planner and geospatial analyst — turning satellite imagery and spatial statistics into development plans a city can act on.
BSc (Hons) Town & Country Planning — University of Moratuwa, Sri Lanka · 2018–2022
I work at the intersection of spatial planning and geospatial analysis. My studio practice covers Local Area Development Plans (LADPs) for towns across Sri Lanka; my technical training covers remote-sensing change detection, urban growth modelling, and quantitative urban morphology — the evidence base the plans stand on.
Index modelling, change detection, spatial statistics — NDVI/NDBI/SAVI/NDSI/MNDWI, Clark Model & fractal urban growth, network centrality, correlation analysis.
01
Flagship Studio Projects
Four Local Area Development Plans — site analysis, statistical evidence, and design proposal in one continuous process.
LADP · Jaffna Municipal Council
"Northern Growth Catalyst"
City-wide development plan — 47 GN divisions, 2,200 ha, 10.6 km of coastline
Vision built around six key values — coastal development, economic empowerment, infrastructure fulfilment, tourism promotion, heritage conservation, and sustainable practice. Four development cores were proposed: a pedestrian-only Civic Core at the historic Fort, an Economic Core Catalyst, an Urban Fashion Hub, and distributed neighbourhood centres.
Population 202282,002Projected 203486,238Growth rate0.42%Density47/ha
Vision, demographic profile & civic-core conceptual plan
The Nallur Historical City Development programme regenerates seven heritage sites — Kittu Park, Jamuna Eri, the Poothathamby Arch (Sangili Toppu), and the Sankillian Palace foundation — alongside pedestrianisation of Muneeswaran Road and a mixed-income railway-town housing project. The Navanthurai/Gurunagar Fishery Town-Centre programme modernises fishing-industry infrastructure while improving residential quality of life.
13 km from Katunayake International Airport, on the Colombo–Negombo corridor
Stakeholder engagement with NWSDB, the DS Office, GN divisions, and local businesses surfaced flooding, wastewater management, and traffic congestion as the top three concerns. Industrial effluent was quantified at the source — the Katunayake Export Processing Zone alone discharges 3.65M m³/year (912,500 tons COD load) into the Attanagalu Oya, affecting drinking water for 3,644 households.
Flood-affected area33%Buildings damaged / yr6,000+Peak delay2 hrs+Residential land use58%
Site context, stakeholder synthesis & environmental evidence
Correlation analysis — flood risk vs. remote-sensing change indices (n=42)
Flood risk ↔ Building-density increase
r = .321**
Population density ↔ Building-density increase
r = .358*
Building-density increase ↔ NDBI change
r = .598**
Three futures were scored on a 0–6 uncertainty/impact matrix across nine driving factors — economic agglomeration, building density, infrastructure development, e-governance potential, and more — converging on a vision of Ja-Ela as "the most sought green logistic centre and residential neighbourhood of Colombo."
Scenario development — business-as-usual vs. growth-driven futures
LADP · Ragama
Town Centre Development Plan
Railway-junction town, Gampaha District — population 4,079 (2015 census)
A transit-oriented redesign for a town with 170 years of continuous settlement history (traced 1850–2020). Site diagnostics — pedestrian safety, underused city-centre land, flash flooding, railway-edge constraints, inadequate parking — were paired with NDVI and elevation mapping of the design site to inform drainage and green-space placement.
Historical timeline, site analysis & six-zone conceptual master plan
Six zones (A–F): a Market Square with a flood-retention pond, a Railway Commercial Complex, transit drop-off and parking, a hospital-adjacent pocket park, and pedestrianisation of the historic market street.
Detailed Design · Ja-Ela
"Health & Wellness Community Civic Park"
A public-space response to market failure, framed through Jane Jacobs' economics of city form
Sited on a 23,142 m² plot in a catchment where 77% of households earn under Rs. 35,000/month and unemployment reaches 14% in certain age cohorts. The programme mixes a civic centre — vocational/tuition centre, GS office, art gallery, canteen, community hall — with a sports complex, rooftop restaurant, and underground parking.
Market failure diagnosis & site contextDetailed design — floor-by-floor area schedule
Infrastructure sized to match: daily water demand, wastewater load, and solid-waste generation modelled per building type, alongside a 400-trip vehicular and 1,392-pedestrian traffic forecast.
02
Technical Case Studies
Three analytical pieces, rebuilt from remote-sensing and GIS coursework — the quantitative methods underneath the plans above.
Case Study A · Remote Sensing + Spatial Statistics
Urban Growth & Population Distribution Modelling
Colombo (1988–2018) and Jaffna District
Spatio-temporal built-up change, Colombo. A Landsat TM/8 time series (1988, 1997, 2007, 2018) was combined into an Index-Based Built-up Index — IBI = [NDBI − (SAVI+MNDWI)/2] / [NDBI + (SAVI+MNDWI)/2] — to isolate built-up area independent of vegetation and water noise.
5.94%1997
7.79%2007
13.60%2018
Growth traced a monocentric pattern from the historic Fort area, expanding south-east toward Kaduwela, Malabe, and Homagama, with secondary centres emerging along the coast.
Clark Model urban sprawl, Jaffna. Population-density decay from the city centre — Dᵤ = D₀e⁻ᵘᵃ — was tested along two arterial corridors. Both start at 6,554 persons/km² at the centre; the A9 corridor falls to 833 persons/km² by 4.5 km.
Population distribution & density — 0.5 km buffer rings, Navatkuly–Jaffna City Centre–Araly
Corridor
Sprawl coefficient (a)
Pattern
A9 — Jaffna–Kandy Rd
0.289
Polycentric (sub-centres emerging near Chavakachcheri)
A fractal-dimension pass across 20 buffer zones (0.5 km intervals to 10 km) cross-validated the point-based model — explaining, for instance, a population dip at 9–9.5 km as a Sri Lanka Army-restricted zone with no residential development, something the Clark Model alone couldn't surface.
Case Study B · Quantitative Urban Morphology
Urban Morphology Quantification
Nallur, Jaffna District — 775,657 m² suburban study area
A multi-criteria morphological audit combining three independent lenses into one classification: accessibility (road network scored on betweenness/closeness centrality), land-use structure (10 zones scored with a Mixed-Use Index and Shannon Entropy Index), and building density & form (low/medium-rise, point/strip typologies against plot coverage).
The three layers were overlaid into a composite Urban Morphology Index: Zones 1 and 3 read as high-morphology (dense, mixed, well-networked); Zones 4 and 5 as very-low morphology — a gap-analysis layer directly usable for future zoning decisions.
Entropy Index classification by zone (0.43–0.91)
Case Study C · Remote Sensing for Disaster Management
Saltwater Intrusion Vulnerability Assessment
Southern Province, Sri Lanka — 24 Divisional Secretariat Divisions, 2.16 billion m² total
A Sentinel-imagery vulnerability assessment prepared for the Urban Development Authority. Built-up/non-built classification returned 10.1% built-up, 88.2% non-built, 1.65% water bodies. Salinity was mapped with the NDSI = (RED − NIR)/(RED + NIR), threshold ≥ −0.23 flagged as saline.
Built-up / non-built classification — Southern Province
The salinity zone covered only 2.0% of the total region — but its impact concentrated sharply in the classes that matter most:
Water bodies affected by salinity
75.8%
Built-up area affected by salinity
23.3%
Non-built land affected by salinity
0.9%
The pattern traced to coastal proximity and evaporation along highway corridors — directly informing where UDA mitigation (freshwater-lens protection, aquifer recharge zoning) should be prioritised.
Final built / non-built / water-body classification — Southern Region
03
Skills & Tools
GIS PlatformsQGIS · ArcGIS / ArcMap · GRASS GIS
Remote Sensing DataSentinel-2 · Landsat TM / 8
Spectral IndicesNDVI · NDBI · SAVI · EVI · RVI · DVI · MNDWI · NDSI · IBI