Climate Vulnerability Visualization — United States

Six Google Earth Engine environmental GIS dashboards mapping climate risk, terrain suitability, coastal exposure, hydroperiod change, and erosion susceptibility across California, Louisiana, Florida, and Rocky Mountain National Park.

Project Overview

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.

Dashboards and environmental GIS products.

Each project includes code, exported rasters, summary tables, screenshots, and methodology documentation.

01 · Climate Anomaly

California Seasonal Temperature Dashboard

Seasonal ERA5-Land temperature and anomaly mapping comparing 2024 conditions to a 1991–2020 baseline.

ERA5-LandCounty statistics

02 · Renewable Energy GIS

California Terrain-Based Solar Suitability

Slope, aspect, and elevation scoring workflow identifying terrain conditions favorable for solar development.

SRTM DEMSuitability modeling

03 · Wetland Monitoring

Everglades Hydroperiod Analysis

Long-term surface-water persistence and hydroperiod change analysis using JRC Global Surface Water Yearly History.

JRC WaterChange detection

04 · Climate Vulnerability

Louisiana Population Exposure

Low-elevation population exposure model identifying coastal and delta communities vulnerable to sea-level rise.

WorldPopExposure mapping

05 · Coastal Hazard GIS

Louisiana Sea Level Rise Exposure

Screening-level inundation mapping for 0.5m, 1.0m, and 2.0m sea-level-rise scenarios across coastal Louisiana.

NASADEMScenario modeling

Rocky Mountain National Park Soil Erosion Risk

06 · Conservation GIS

Rocky Mountain Soil Erosion Risk

Simplified RUSLE-style erosion susceptibility model using rainfall, slope, vegetation, and protected-area boundaries.

CHIRPSTerrain risk

The same repeatable pattern across six different environmental problems.

The goal was not only to produce maps, but to build clean, documented, exportable GIS workflows that can be explained in interviews and reviewed on GitHub.

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?

Structure the data.

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

Build exportable products.

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

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