PostGIS – Frost Institute for Data Science & Computing

Automated Plankton Classification

January 10, 2017March 12, 2021

The overall goal of this project was to process a digital image data collected using the In Situ Ichthyoplankton Imaging System (ISIIS) during the summer of 2011. These data were collected on three separate cruises and total roughly 50 terabytes (TB) of image data, corresponding to approximately 10,700,500 individual images requiring analysis. We have developed an approach (and system) that successfully identified and quantified approximately 160,000,000 segmented images (contained within the 10,700,500 larger images), or Regions of Interest (ROIs). These ROI are either individual plankton species or other material (such as detritus). Examples of the extracted and quantified images can be seen below.

Technology

MongoDB, C++, Matlab, Python, PostGIS

Vistapolis

May 10, 2016March 12, 2021

A project to produce a common codebase from which we can draw to develop geospatial applications for smart cities and other applications. Also, a general purpose web-based application. The Vistapolis web-based application is currently under development and will be released soon. Vistapolis code is being used in the development of several current projects, including the planned restoration of The Residency on Harbour Island, Bahamas.