The use of advanced remote sensing technologies to measure atmospheric concentrations of gases like carbon dioxide (CO₂), methane (CH₄), and nitrous oxide (N₂O) on a global scale. Satellites such as NASA's OCO-2, ESA's Sentinel-5P, and Japan's GOSAT collect high-resolution data on gas emissions, helping researchers track sources, sinks, and tren…
☆42Aug 26, 2025Updated last year
Alternatives and similar repositories for Greenhouse-Gas-Monitoring-with-Satellites
Users that are interested in Greenhouse-Gas-Monitoring-with-Satellites are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- RR is a data-driven research project that integrates geospatial analysis, machine learning, and environmental monitoring to analyze histo…☆43Sep 1, 2025Updated last year
- This Python-based project leverages machine learning to predict air quality levels using synthetic pollutant data, simulating real-world …☆34Mar 13, 2025Updated last year
- The Carbon-Footprint-Estimator-App helps users calculate and track their carbon emissions from daily activities, promoting eco-friendly c…☆44Aug 11, 2025Updated last year
- ☆42Aug 7, 2025Updated last year
- The GHG-Emission-Dashboard-for-Nigeria-or-Global is a Streamlit-based tool that visualizes synthetic greenhouse gas emissions. It enables…☆42Aug 21, 2025Updated last year
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- The Stakeholder-Engagement-Level-Detection project applies data-driven analysis to evaluate stakeholder participation and involvement. It…☆41Aug 21, 2025Updated last year
- This project generates captions for synthetic satellite imagery using machine learning, describing environmental features such as vegetat…☆48Aug 19, 2025Updated last year
- Real-time forest fire detection using satellite data (MODIS, VIIRS) and CNN-based classification.☆32May 26, 2025Updated last year
- This project uses an LSTM neural network to predict air quality (PM2.5) from synthetic time-series data. It includes data generation, nor…☆42Aug 25, 2025Updated last year
- Use multi-temporal shoreline datasets and CNN/RNN for erosion prediction.☆56Sep 9, 2025Updated last year
- This project uses synthetic environmental data and AI to track progress toward Sustainable Development Goals (SDGs). It computes a compos…☆55Sep 11, 2025Updated last year
- CNN model trained on hyperspectral images to detect gas leaks over oil & gas fields.☆32May 26, 2025Updated last year
- A synthetic machine learning pipeline for forecasting agricultural yields under climate change. It integrates climate, soil, management, …☆62Sep 3, 2025Updated last year
- Use GEE + ML to identify optimal locations for utility-scale solar farms in West Africa.☆32May 26, 2025Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- A machine learning project for predicting noise pollution levels using environmental and spatial features. Built for analysis, mapping, a…☆51Apr 2, 2025Updated last year
- A GIS-based model that combines exposure, sensitivity, and adaptive capacity indicators.☆32May 26, 2025Updated last year
- This project compares Kriging and Random Forest machine learning for spatial interpolation of rainfall using synthetic data in Google Ear…☆50Aug 10, 2025Updated last year
- Time-series flood map generator using Sentinel-1 and GEE scripting.