Independent Project · Google Earth Engine · Completed 2026

Climate Vulnerability Visualization — United States

Six environmental GIS analysis products built to support climate risk assessment, coastal resilience planning, renewable energy siting, and conservation prioritization — using Google Earth Engine remote sensing and raster analysis workflows across California, Louisiana, Florida, and Rocky Mountain National Park.

6 environmental risk assessments
5+ public environmental datasets integrated
30m–9km raster analysis scales
CSV + TIFF decision-ready GIS deliverables

Climate risk is spatial. The analysis has to be, too.

This project series was built to show how satellite data, climate reanalysis, terrain models, population grids, and administrative boundaries can be combined into decision-ready geospatial products. Each dashboard moves beyond a static map: it includes summary metrics, exportable rasters, CSV tables, and a clear visual explanation of where environmental risk or opportunity is concentrated.

The work emphasizes screening-level environmental GIS: fast, reproducible workflows that help planners, analysts, and stakeholders understand where to look first. The results are not replacements for engineering, hydrodynamic, or field-calibrated studies. They are structured geospatial decision-support products designed to communicate patterns clearly and honestly.

Designed as a portfolio-grade demonstration of Google Earth Engine, raster analysis, dashboard design, climate adaptation mapping, and remote sensing communication.

Six-Part Portfolio Series

Six environmental decision-support analysis products.

Each product addresses a specific planning or risk assessment question — with code, exported rasters, summary tables, and methodology documentation for review and reuse.

California Seasonal Temperature Dashboard

01 · Climate Risk Analysis

California Seasonal Temperature Dashboard

Seasonal temperature anomaly analysis comparing 2024 conditions to a 1991–2020 baseline — identifying where warming trends exceed historical norms to support climate adaptation planning.

ERA5-LandCounty statistics
California Terrain-Based Solar Suitability

02 · Renewable Energy Planning

California Terrain-Based Solar Suitability

Terrain suitability analysis scoring slope, aspect, and elevation to identify optimal land conditions for solar energy development — supporting renewable infrastructure siting and investment decisions.

SRTM DEMSuitability modeling
Everglades Hydroperiod Analysis

03 · Wetland & Ecosystem Management

Everglades Hydroperiod Analysis

Long-term surface-water persistence analysis revealing hydroperiod change patterns — supporting wetland management, restoration planning, and ecosystem health assessment decisions.

JRC WaterChange detection
Louisiana Population Exposure

04 · Climate Vulnerability & Risk Assessment

Louisiana Population Exposure

Population exposure model quantifying how many coastal Louisiana residents face sea-level-rise risk by elevation zone — supporting climate adaptation prioritization, evacuation planning, and infrastructure resilience decisions.

WorldPopExposure mapping
Coastal Louisiana Sea Level Rise Exposure

05 · Coastal Hazard & Infrastructure Planning

Louisiana Sea Level Rise Exposure

Scenario-based inundation mapping for 0.5m, 1.0m, and 2.0m sea-level-rise projections — identifying at-risk land and infrastructure to support coastal hazard planning and long-term resilience investment decisions.

NASADEMScenario modeling
Rocky Mountain National Park Soil Erosion Risk

06 · Conservation & Land Management

Rocky Mountain Soil Erosion Risk

Erosion susceptibility model integrating rainfall, slope, vegetation, and protected-area boundaries — identifying high-risk terrain to support conservation management, trail infrastructure decisions, and resource protection planning.

CHIRPSTerrain risk

The same repeatable pattern across six different environmental problems.

The goal was not to produce maps — it was to build clean, reproducible GIS workflows that answer specific environmental planning questions and can be reviewed, validated, and scaled to new geographies.

01

Define the spatial question.

Each dashboard starts with a decision-oriented question: where is exposure concentrated, where are conditions changing, or where is suitability highest?

02

Structure the data.

Public Earth Engine datasets are filtered, clipped, converted, reclassified, or summarized using consistent raster and feature workflows.

03

Build exportable products.

Each project outputs styled maps, raw or supporting GeoTIFF layers, CSV tables, screenshots, code, README files, and methodology documentation.

Deliverables

What the repository contains.

The project is organized so a reviewer can quickly understand the analysis, inspect the code, view the screenshots, and download the outputs.

Code

  • Six Google Earth Engine JavaScript files
  • Dashboard UI logic
  • Raster analysis workflows
  • Export functions

Data Products

  • GeoTIFF map exports
  • Scenario rasters
  • Context layers
  • County/parish CSV tables

Documentation

  • Project README files
  • Methodology writeups
  • Hero screenshots
  • Dashboard views for portfolio use
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