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CASE STUDY · 2026

Where the land runs dry.

PERSONAL PROJECT· INDEPENDENT ANALYSIS· 2026

I wanted a drought-aware view of wildfire risk in Norfolk that held up across seasons. I combined Sentinel-2 imagery with rainfall and land-cover data in Google Earth Engine, compared five dry seasons, and built an interactive swipe map so anyone can see how risk shifts year on year. The live tool is embedded below.

LIVE / DROUGHT-STRESS SWIPE · NORFOLK
◆ Interactive map. If it does not load, open it here: fire-risk.netlify.app
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DRY SEASONS COMPARED
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PIXEL RESOLUTION
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SPECTRAL INDICES
01 · BRIEF

I noticed most public wildfire risk maps are static and ignore how drought builds through a season. I set out to build a view that tracked moisture stress over time and was easy to read at a glance.

02 · APPROACH

I processed Sentinel-2 scenes in Earth Engine, derived NDVI and NDWI for five dry seasons, and joined rainfall and land-cover data to weight the risk surface. Outputs were tiled for a lightweight web map.

03 · OUTCOME

An interactive swipe map lets anyone compare any two years side by side, with a short method note so the numbers can be trusted and re-run next season.

TYPEPersonal project
ROLEIndependent spatial analyst
METHODSentinel-2 · GEE · NDVI/NDWI
DATA2022 to 2026 dry seasons
TOOLSEarth Engine · Python · Leaflet
DELIVERABLESswipe map · risk layers · note
Norfolk wildfire risk, change view: mean risk index rising from 0.499 in 2022 to 0.525 in 2026, a +0.026 increase; red cells show where risk grew, blue where it fell
FIG.02 / CHANGE IN MEAN RISK · 2022 to 2026
◆ Change view, 2022 to 2026: red = risk increased, blue = risk decreased. County mean rose +0.026.
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