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 11 months ago
- 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
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- 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 11 months ago
- This project uses synthetic environmental data and AI to track progress toward Sustainable Development Goals (SDGs). It computes a compos…☆55Sep 11, 2025Updated 11 months ago
- 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 11 months ago
- Use GEE + ML to identify optimal locations for utility-scale solar farms in West Africa.☆32May 26, 2025Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- A machine learning project for predicting noise pollution levels using environmental and spatial features. Built for analysis, mapping, a…☆50Apr 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.☆77Oct 10, 2025Updated 10 months ago
- Forecast AQI using LSTM/GRU models on PM2.5, NOx, CO data.☆38May 26, 2025Updated last year
- ☆38Feb 28, 2025Updated last year
- This project maps Urban Heat Islands using synthetic thermal imagery and machine learning in Google Earth Engine. It generates over 100 s…☆58Sep 11, 2025Updated 11 months ago
- Based on slope, rainfall, land use, and NDVI data.☆37Aug 3, 2026Updated 3 weeks ago
- This project automates river network extraction from satellite imagery using deep learning. It employs a U-Net architecture for precise s…☆58Sep 11, 2025Updated 11 months ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- 3D modeling (Cesium.js or Blender) showing projected sea level rise on coastal cities.☆38May 26, 2025Updated last year
- This project applies Sentinel-2 satellite imagery and machine learning to classify mangrove health, distinguishing healthy from stressed …☆58Sep 11, 2025Updated 11 months ago
- ☆33Jan 19, 2025Updated last year
- The Citizen Complaint Categorization in Environmental Agencies" project generates synthetic environmental complaint data and trains a mac…☆49Aug 12, 2025Updated last year
- This project uses AI to map biodiversity hotspots by analyzing environmental variables and species richness data. A machine learning mode…☆62Jun 6, 2025Updated last year
- A natural language processing project that classifies weather report text sentiment as positive, neutral, or negative, helping analyze em…☆49Aug 10, 2025Updated last year
- Analyze NDVI trends and use LSTM to predict drought onset in arid regions.☆31May 26, 2025Updated last year
- Use satellite data, population density, and climate projections to predict urban heat hotspots and assess vulnerability across cities.☆38Sep 1, 2025Updated 11 months ago
- Develop predictive models that integrate rainfall, DEM, and land-use data to map areas at risk of flooding and support early-warning syst…☆39Aug 3, 2026Updated 3 weeks ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆34Aug 12, 2025Updated last year
- ML classifier for detecting stressed crops using spectral signature data.☆37May 26, 2025Updated last year
- The dynamic nature of forecasting shoreline changes in the Niger Delta over 50 years (1974–2024) by leveraging satellite imagery and mac…☆35Mar 20, 2025Updated last year
- NLP model analyzing climate policy documents for actionability and effectiveness.☆38May 26, 2025Updated last year
- Combine IoT sensor data and machine learning to monitor and forecast water quality in rivers, lakes, or reservoirs for sustainable water …☆47Sep 16, 2025Updated 11 months ago
- Heavy-Metal-Prediction-in-Groundwater generates synthetic groundwater quality data and applies machine learning to predict heavy metal co…☆47Aug 25, 2025Updated last year
- Apply machine learning on shoreline change, wave energy, and sediment data to model and predict future coastal erosion under sea-level ri…☆45Sep 23, 2025Updated 11 months ago