The GHG-Emission-Dashboard-for-Nigeria-or-Global is a Streamlit-based tool that visualizes synthetic greenhouse gas emissions. It enables exploration by sector, gas type, and time, helping users analyze trends, compare scenarios, and download data for research, education, or prototyping purposes.
☆42Aug 21, 2025Updated 11 months ago
Alternatives and similar repositories for GHG-Emission-Dashboard-for-Nigeria-or-Global-
Users that are interested in GHG-Emission-Dashboard-for-Nigeria-or-Global- are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- The Stakeholder-Engagement-Level-Detection project applies data-driven analysis to evaluate stakeholder participation and involvement. It…☆41Aug 21, 2025Updated 11 months ago
- 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 11 months ago
- RR is a data-driven research project that integrates geospatial analysis, machine learning, and environmental monitoring to analyze histo…☆43Sep 1, 2025Updated 10 months ago
- The Carbon-Footprint-Estimator-App helps users calculate and track their carbon emissions from daily activities, promoting eco-friendly c…☆44Aug 11, 2025Updated 11 months ago
- ☆42Aug 7, 2025Updated 11 months ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Use satellite data, population density, and climate projections to predict urban heat hotspots and assess vulnerability across cities.☆38Sep 1, 2025Updated 10 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…☆39Sep 1, 2025Updated 10 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 10 months ago
- This project generates captions for synthetic satellite imagery using machine learning, describing environmental features such as vegetat…☆48Aug 19, 2025Updated 11 months ago
- ☆34Aug 12, 2025Updated 11 months ago
- Use multi-temporal shoreline datasets and CNN/RNN for erosion prediction.☆56Sep 9, 2025Updated 10 months ago
- This project maps Urban Heat Islands using synthetic thermal imagery and machine learning in Google Earth Engine. It generates over 100 s…☆57Sep 11, 2025Updated 10 months ago
- A synthetic machine learning pipeline for forecasting agricultural yields under climate change. It integrates climate, soil, management, …☆61Sep 3, 2025Updated 10 months ago
- Combine IoT sensor data and machine learning to monitor and forecast water quality in rivers, lakes, or reservoirs for sustainable water …☆47Sep 16, 2025Updated 10 months 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.
- 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 10 months ago
- Time-series flood map generator using Sentinel-1 and GEE scripting.☆77Oct 10, 2025Updated 9 months ago
- ☆45Apr 4, 2026Updated 3 months ago
- A machine learning project for predicting noise pollution levels using environmental and spatial features. Built for analysis, mapping, a…☆50Apr 2, 2025Updated last year
- ☆47Apr 5, 2025Updated last year
- This project simulates a real-time disaster impact analytics platform, using synthetic geospatial data to model hazard events, assess ass…☆36Sep 16, 2025Updated 10 months ago
- A machine learning pipeline that predicts climate-driven disease spread using synthetic data. It models next-week incidence via regressio…☆36Sep 11, 2025Updated 10 months ago
- Hybrid Machine Learning Framework for Water Quality Assessment and Contamination Clustering in the Niger Delta☆51Aug 4, 2025Updated 11 months ago
- AI-powered methane detection system using synthetic multispectral data. Trains regression and classification models to estimate methane e…☆38Sep 11, 2025Updated 10 months ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Understanding the spatiotemporal dynamics of sandbars along major river systems is vital for shoreline stability, sediment management, in…☆52Aug 24, 2025Updated 11 months ago
- Earthdata Search is a web application developed by NASA EOSDIS to enable data discovery, search, comparison, visualization, and access ac…☆53Aug 26, 2025Updated 11 months ago
- A face recognition Python application with a simple desktop UI☆51Feb 7, 2025Updated last year
- This project demonstrates an AI-driven workflow for synthetic carbon sequestration potential mapping. It generates geospatial eco-variabl…☆39Sep 23, 2025Updated 10 months ago
- ☆54Apr 2, 2026Updated 3 months ago
- Integrate terrain, rainfall, soil, and vegetation indices to predict landslide-prone regions and support disaster risk reduction planning…☆60Oct 3, 2025Updated 9 months ago
- Fake-News-Detection-Using-Machine-Learning on your GitHub. It uses scikit‑learn + TF‑IDF + Logistic Regression (default), but also lets y…☆32Jul 26, 2025Updated last year
- A hybrid deep learning framework combining multiple models for accurate, interpretable anomaly detection in environmental sensor networks…☆41Aug 13, 2025Updated 11 months ago
- The use of advanced remote sensing technologies to measure atmospheric concentrations of gases like carbon dioxide (CO₂), methane (CH₄), …☆42Aug 26, 2025Updated 11 months ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Flood mapping and monitoring in Nigeria is a critical environmental and disaster management effort aimed at addressing the increasing pre…☆40Dec 18, 2024Updated last year
- This study explores the influence of dam management practices and rainfall variability on flood patterns in the Niger Delta.☆46Aug 6, 2025Updated 11 months ago
- A GIS-based model that combines exposure, sensitivity, and adaptive capacity indicators.☆32May 26, 2025Updated last year
- This project integrates Machine Learning (ML) techniques and morphometric analysis to assess flood susceptibility across four major catch…☆51Jun 23, 2025Updated last year
- A site dedicated to tutorials, course and other learning materials and resources developed by the Earth Lab team☆26Jul 21, 2025Updated last year
- Highly vulnerable to seasonal flooding due to its low-lying terrain, heavy rainfall, and proximity to major water bodies. Flood mapping a…☆29Jul 14, 2025Updated last year
- CNN model trained on hyperspectral images to detect gas leaks over oil & gas fields.☆32May 26, 2025Updated last year