Akajiaku1 / IoT-Data-Collection-for-Environmental-MonitoringLinks
This project demonstrates a real-time data pipeline designed for IoT sensors that monitor environmental conditions such as temperature and humidity. The pipeline ingests sensor data continuously, processes it, and stores the information into an SQLite database for future analysis.
☆13Updated 5 months ago
Alternatives and similar repositories for IoT-Data-Collection-for-Environmental-Monitoring
Users that are interested in IoT-Data-Collection-for-Environmental-Monitoring are comparing it to the libraries listed below
Sorting:
- Akajiaku1 / The-impact-of-dam-management-and-rainfall-patterns-on-flooding-in-the-Niger-Delta-Using-Sentinel-1This study explores the influence of dam management practices and rainfall variability on flood patterns in the Niger Delta.☆13Updated 6 months ago
- ☆12Updated last week
- ☆13Updated 3 months ago
- A complete, production-ready solution for renewable energy forecasting that handles real-world challenges like missing data and temporal …☆12Updated last week
- This project classifies extreme weather events using synthetic data and machine learning techniques. It demonstrates how to generate real…☆13Updated 2 weeks ago
- Sea Surface Temperature (SST) Anomaly Prediction using a deep learning approach with LSTM (Long Short-Term Memory) and visualization☆13Updated 3 weeks ago
- This project visualizes historical global temperature anomalies, helping to analyze temperature trends and identify significant deviation…☆9Updated 7 months ago
- This project detects water bodies from satellite imagery using remote sensing techniques and image classification algorithms, such as NDW…☆16Updated 2 months ago
- his project implements a Forest Fire Detection and Alert System using sensor data (temperature, humidity, and smoke levels) to monitor fo…☆8Updated 7 months ago
- This project implements an Automated ETL (Extract, Transform, Load) Pipeline that fetches daily weather data, processes it, and stores it…☆13Updated 5 months ago
- This project is a GIS-based Streamlit application for identifying optimal sites for renewable energy development (solar, wind, hydro) usi…☆18Updated 2 months ago
- ☆16Updated 3 months ago
- Forest Fire Risk Prediction model using a machine learning approach (Random Forest Classifier) trained on environmental data (temperature…☆16Updated 2 months ago
- ☆16Updated 2 months ago
- ☆15Updated 3 months ago
- ☆16Updated 3 months ago
- This project uses Sentinel-1 Synthetic Aperture Radar (SAR) imagery and Google Earth Engine to detect oil spills in water bodies through …☆17Updated 2 months ago
- ☆16Updated 3 months ago
- ☆16Updated 3 months ago
- This project provides a simple yet powerful Streamlit dashboard to estimate software development effort using historical project data and…☆17Updated 2 months ago
- This project implements a basic Rainfall-Runoff Modeling framework using the SCS Curve Number (CN) Method to assess flood risk based on d…☆18Updated 2 months ago
- ☆16Updated 3 months ago
- ☆16Updated 3 months ago
- This project applies deep learning (U-Net architecture) to detect marine debris from satellite or drone imagery.☆16Updated 2 months ago
- ☆16Updated 3 months ago
- This project provides a complete workflow for mapping, visualizing, and analyzing noise pollution levels in urban areas using geospatial …☆16Updated 2 months ago
- ☆15Updated 3 months ago
- A lightweight geospatial workflow for detecting shoreline changes using Sentinel-2 imagery, NDWI, and Google Earth Engine (GEE). It quant…☆17Updated 2 months ago
- ☆16Updated 2 weeks ago
- ☆16Updated 3 months ago