automation

Flood-Mapping-Automation-in-Google-Earth-Engine: Automate

Name: Flood-Mapping-Automation-in-Google-Earth-Engine: Automate
Author: Dogiye12

Generate time-series flood maps with Sentinel-1 and GEE scripting.

77 stars1 forksPythonGuide quality 9/10Updated 10/10/2025100% free · open source

What it does

Generates time-series flood maps using Sentinel-1 satellite data and Google Earth Engine scripting for automated flood mapping.

When to use it

•Monitoring flood-prone areas for disaster response and mitigation
•Analyzing flood patterns for urban planning and infrastructure development
•Creating flood risk maps for insurance and environmental assessment

Ready-to-paste prompt

Run `python Flood_mapping.py --start_date '2022-01-01' --end_date '2022-01-31' --area_of_interest 'coordinates'` to generate a flood map for a specific area and time period

Heads up: Ensure you have a Google Earth Engine account and the Earth Engine API is enabled, as the script requires authentication and access to Sentinel-1 data

Saves to your device

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/flood-mapping-automation-in-google-earth-engine && curl -fsSL https://workflowstacks.com/api/skills/flood-mapping-automation-in-google-earth-engine/claude-skill -o ~/.claude/skills/flood-mapping-automation-in-google-earth-engine/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How Flood-Mapping-Automation-in-Google-Earth-Engine: Automate works

Codeflow

Free to inspect

Flood-Mapping-Automation-in-Google-Earth-Engine: Automate is a tiny Python project (~150 lines across 1 code files). Setup is light: install Python, run one command. Last commit 11 months ago, no license file, no tests found.

Size

Tiny codebase

~150 lines · 1 code files · 2 min skim

Setup

Light setup

Install Python, run one command.

Runs on

Python

No API keys detected

Python 100%

Where to start reading

1
README.md
Start here — what it does and how to install it
2
requirements.txt
Dependencies and the commands it exposes

READMENo tests foundThin docsNo CINo licenseLast update 11 mo ago