Quick Start Guide for MARIDA (Marine Debris Archive)

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

Create plastic trash aerial image dataset - HAIDA

Marine Debris Detection with Commercial Satellite Imagery and Deep Learning.

Analysis and data of beach-litter-surveys in Switzerland 2015-2021. Notebooks and maps for documenting and producing basic analysis of survey results.

A tool to automatically label, classify, and count marine debris in your aerial imagery. Designed to automate the tedious parts of standing stock surveys for shoreline stranded marine debris. Powered by AI!

Collection of workbooks for analysis of beach litter surveys in Switzerland

An open data model for exchange and storage of beach debris data

Using Bayes theoreom to determine the probability of finding an object on the beach. An analysis over six years and hundreds of surveys

Semantic segmentation of marine anomalies using semi-supervised learning (FixMatch for semantic segmentation) on Sentinel-2 multispectral images.

Using topographic attributes to identify zones of accumulation. Based on count data using EU protocol. Submitted for peer review.

Research center for the creation and development of marine technology, supported by the latest and best technological innovations with access to multiple chains of future digital currencies.

a web adaptation of a children's book