Official MOHID Water Modelling System repository

[ISPRS Journal of Photogrammetry and Remote Sensing] Detecting Marine Pollutants and Sea Surface Features with Deep Learning in Sentinel-2 Imagery

Implementation of Image Processing Segmentation techniques and algorithms for Oil Spill detection in SAR images

Oil Spill Detection Algorithm using Convolutional Neural Network Architecture : U-net

Oil Spill Detection in Ecuadorian Exclusive Economic Zone

Putting oil spills around you on a map

**Archived** Python package built around analysis-ashutosh/scripts/make-hdf5/ code developed by Ashutosh Bhudia.

**Archived** MEOPAR MIDOSS (Model of Impact of Dilbit and Oil Spills in the Salish Sea) project documentation.

**Archived** A command-line tool for doing various operations associated with the MIDOSS project version of the MOHID model. MOHID-Cmd is based on, and provides MIDOSS-MOHID-specific extensions for https://github.com/SalishSeaCast/NEMO-Cmd/

**Archived** Collection of MOHID run data (.dat) files and run description YAML files for the various oil spill scenarios.

Oil spill and AIS analysis using python QGIS

This project uses a U-Net deep learning model to detect oil spills from satellite images. With an encoder–decoder CNN and image preprocessing, it precisely segments spill regions. The system automates detection, reducing analysis time, enhancing accuracy, and aiding quick environmental response.

Presentation

This repository provides code used in the development of our MIDOSS work.

Source code and build system for the MIDOSS project version of the MOHID model. Includes enhancements and features added to MOHID by Shihan Li and others at Dalhousie University. Initialized with code in Shihan Li's "UBC new" Visual Studio project during Shihan & Xiaomei's visit to UBC in Mar-2019.

Official MOHID Water Modelling System repository

Data Visualization Final

A collection of Jupyter Notebooks made by Doug Latornell for sharing of Python code techniques and notes about model results analysis code.