Mapping Carbon Monoxide (CO) Using Sentinel-5P in Google Earth Engine | Step-by-Step GIS Tutorial

Learn how to map Carbon Monoxide (CO) air pollution using Sentinel-5P satellite data in Google Earth Engine (GEE) with a clear, step-by-step workflow.
#Sentinel5P #googleearthengine #airpollution
#carbonmonoxide #arcgis #gis
#RemoteSensing
#EnvironmentalAnalysis
In this tutorial, you will:

Define a study area using administrative boundaries
Load Sentinel-5P OFFL Level-3 Carbon Monoxide data
Compute the annual mean CO column density
Extract the real minimum and maximum CO values
Visualize CO using data-driven min–max scaling
Add a professional map legend
Export the final CO pollution map to Google Drive

This video follows the exact Google Earth Engine code workflow, making it ideal for:
GIS students, remote sensing researchers, environmental scientists, and anyone working on air quality analysis using satellite data.

📌 Dataset Used
Sentinel-5P (COPERNICUS/S5P/OFFL/L3_CO)
Variable: CO_column_number_density (mol/m²)
📌 Tools
Google Earth Engine
JavaScript API
💬 Comment below: Which country or city should we analyze next using Sentinel-5P?
👍 Like | 🔔 Subscribe | 💬 Comment
for more GIS, Remote Sensing & Google Earth Engine tutorials.

Видео Mapping Carbon Monoxide (CO) Using Sentinel-5P in Google Earth Engine | Step-by-Step GIS Tutorial канала Geospatial Analysis