This project demonstrates oil spill detection in synthetic SAR imagery using deep learning. It generates synthetic datasets with speckle noise and spill regions, trains a lightweight U-Net model for segmentation, and evaluates performance with Dice and IoU metrics, enabling scalable environmental monitoring research.
☆69Sep 30, 2025Updated 9 months ago
Alternatives and similar repositories for Oil-Spill-Detection-using-SAR-Data-Deep-Learning
Users that are interested in Oil-Spill-Detection-using-SAR-Data-Deep-Learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Time-series flood map generator using Sentinel-1 and GEE scripting.☆77Oct 10, 2025Updated 9 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
- This project creates an interactive heatmap to visualize CO₂ emissions from power plants using geospatial data. It helps identify high-em…☆68Jun 11, 2025Updated last year
- ☆42Aug 7, 2025Updated 11 months ago
- ext mining of Twitter/X posts to detect local climate adaptation strategies.☆38May 26, 2025Updated last year
- 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.
- 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
- Use multi-temporal shoreline datasets and CNN/RNN for erosion prediction.☆56Sep 9, 2025Updated 10 months ago
- NLP model analyzing climate policy documents for actionability and effectiveness.☆38May 26, 2025Updated last year
- Heavy-Metal-Prediction-in-Groundwater generates synthetic groundwater quality data and applies machine learning to predict heavy metal co…☆47Aug 25, 2025Updated 11 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
- ML classifier for detecting stressed crops using spectral signature data.☆37May 26, 2025Updated last year
- This project demonstrates how synthetic satellite imagery data can be used to train a machine learning model for detecting illegal loggin…☆51Aug 11, 2025Updated 11 months ago
- 3D modeling (Cesium.js or Blender) showing projected sea level rise on coastal cities.☆38May 26, 2025Updated last year
- Based on slope, rainfall, land use, and NDVI data.☆37May 26, 2025Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- 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
- This project applies Sentinel-2 satellite imagery and machine learning to classify mangrove health, distinguishing healthy from stressed …☆58Sep 11, 2025Updated 10 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
- This project compares Kriging and Random Forest machine learning for spatial interpolation of rainfall using synthetic data in Google Ear…☆50Aug 10, 2025Updated 11 months ago
- ummarize long climate science papers into actionable briefs using NLP.☆37May 26, 2025Updated last year
- A GIS-based model that combines exposure, sensitivity, and adaptive capacity indicators.☆32May 26, 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 11 months ago
- 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
- CNN model trained on hyperspectral images to detect gas leaks over oil & gas fields.☆32May 26, 2025Updated last year
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Smart Composting System uses IoT sensors and AI analytics to monitor organic waste, temperature, moisture, and decomposition rates. The s…☆33Dec 24, 2025Updated 7 months ago
- The GHG-Emission-Dashboard-for-Nigeria-or-Global is a Streamlit-based tool that visualizes synthetic greenhouse gas emissions. It enables…☆42Aug 21, 2025Updated 11 months ago
- Air pollution constitutes a critical public health challenge in rapidly urbanising sub-Saharan African cities, where industrial activity,…☆58Mar 24, 2026Updated 4 months ago
- Forecast AQI using LSTM/GRU models on PM2.5, NOx, CO data.☆38May 26, 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
- Semi-automated change detection tool using PCA + supervised ML classifiers.☆37May 26, 2025Updated last year
- The Stakeholder-Engagement-Level-Detection project applies data-driven analysis to evaluate stakeholder participation and involvement. It…☆41Aug 21, 2025Updated 11 months ago
- ☆54Apr 2, 2026Updated 3 months ago
- Soil Moisture Prediction from Satellite Data uses satellite-derived features and machine learning to estimate soil moisture levels accura…☆33Dec 30, 2025Updated 6 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.
- Water-Usage-Prediction-and-Optimization uses machine learning to forecast future water consumption based on historical patterns, weather,…☆41Nov 18, 2025Updated 8 months ago
- Wetland Classification Using GEE and CNNs employs synthetic spectral and index features to classify land into water, wetland, and upland.…☆47Aug 19, 2025Updated 11 months ago
- A collection of production-ready Generative AI Agent templates built for Google Cloud. It accelerates development by providing a holistic…☆58Oct 12, 2025Updated 9 months ago
- Sustainability Impact Estimator for Products uses data-driven methods to assess environmental impacts of products across their lifecycle.…☆35Oct 2, 2025Updated 9 months ago
- This project uses Geographic Information Systems (GIS) and machine learning to monitor sandbars along the Niger River in Nigeria's Niger …☆47Sep 11, 2025Updated 10 months ago
- ☆54Oct 21, 2025Updated 9 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