The Optical Reef and Coastal Area Assessment (ORCAA) tool in Google Earth Engine allows users to monitor, track, and evaluate water parameters in the Belize and Honduras Barrier Reefs from January 2013 to present using Landsat 8, Sentinel-2, and Aqua/Terra MODIS imagery.
Arduino code for pH, temperature monitoring, data logger, turbiostat, control LED for mimicking sun pattern. Python script for the simulation of microalgae growth with real solar profiles.
Codebase for the paper: Sea-ing Through Scattered Rays: Revisiting the Image Formation Model for Realistic Underwater Image Generation
The project involves the approach of the Internet of Things (IoT) which will be done using a microcontroller. We are using customized sensor’s node for monitoring the parameters of water like pH, turbidity, temperature, oxidation-reduction potential, Dissolved Oxygen, industrial wastes, hospital waste etc.
projet de réseaux de capteurs, communication à distance, big data, communication full duplex
Estimación de turbidez en el agua a la entrada de la planta de tratamiento de SAMEEP, utilizando los productos Sentinel-2 MSI L2A y aprendizaje automático.
Sensor-based IoT system for real-time water level and quality monitoring with alerting and data analysis.
Multi-parameter water quality monitoring of Merowe Dam, Sudan using Sentinel-2 satellite imagery, Google Earth Engine & XArray (Chl-a, Turbidity, TSS, CDOM, Secchi Depth, NDCI, FAI)
Monitor water clarity and level with Arduino, LCD display, and buzzer alerts
Open-Source Turbidity Meter and Mobile App
Pilot architecture for contaminated liquid remediation with intake protection, oil/solids separation, final filtration, verification sensors, startup checks, staged shutdowns, and auditable routing to discharge, recirculation, or hold.
This Arduino UNO source code measures water turbidity in NTU using the SEN 109 turbidity sensor. It calibrates analog readings to digital values with the Kalman filter method, achieving over 90% accuracy. This setup provides reliable turbidity measurements for water quality monitoring.
An open-source project to make assessing water quality easier than ever.
Code for 3rd year of the Conservation International and W&M Institute for Integrative Conservation collaborative Conservation Research Project concerning turbidity monitoring around Lake Alaotra, Madagascar.
The Turbidity Monitoring System, a project to measures NTU in raw water using a microcontroller and a web-based interface. Installed at PDAM Tirta Bhagasasi, it provides real-time data and reporting, improving water quality assessment efficiency.
Perangkat pelampung otonom (smart buoy) berbasis IoT untuk memantau kelayakan kualitas air tambak udang (pH, Suhu, dan Kekeruhan) secara real-time dan nirkabel.
Estimación de calidad de agua en el río Paraná para desarrollar un algoritmo mediante teledetección satelital
🌊 Monitor Merowe Dam water quality using Sentinel-2 satellite data and Google Earth Engine for accurate, multi-parameter analysis.
Final-round Track 2 repository for HydroSat Systems' turbidity and chlorophyll-a inference pipeline in the ITU Ingenuity Cup: AI and Space Computing Challenge 2026.
💧Smart IoT-based system to monitor water quality in real-time using sensors and ML to detect purity and suggest improvements.
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