The Ocean Sensor Visualization Application displays near real time sea level and atmospheric data from Internet of Things (IoT) sensors sprinkled through out the Georgia coast line. Click the button above to fly in and view the data.
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Ongoing Notes :
Before beginning my journey to software development, I was laboring in the oil and gas industry for 22 years, four of those years were spent living in oil fields of the Arctic, on the North Slope of Alaska, where I witnessed the damaging effects of climate change first hand. I ventured to use my knowledge of instrumentation and measurement to display something meaningful to humanity, the general public, and decision makers. After some searching, I found out that Georgia Tech had an IoT project coupled with a data API that I could use to assist stakeholders, so the Ocean Sensor Visualization Project was born!
Endicott Island ... my home for 14 months circa 2008
Your software developer
Yes! We have palm trees in The Arctic
The Ocean Sensor Visualization Project draws data from sixty-two (62) enclosures currently (January 2023) located through out Chatham County, Georgia, other counties and states are involved as well. Each enclosure can house from one to six sensors, from my understanding the main goal is to monitor sea level modulations over a series of time so that county officials can make better decisions in the future, many of these enclosures have expanded to include air pressure, air temperature, relative humidity, rain gauge and battery voltage sensors. Please see video below for more information on enclosure construction and operation.
The enclosures are scattered through out the county. There is a mixture of public land and private water access that the enclosures are mounted on. Some of the locations have photographs, pictures will auto-populate when the modal is loaded. This application retrieves data from an API that the Smart Sea Level Sensors Project team has built to allow for software developers as myself to query data. The application then parses and displays the data in chart and latest observation tab. Due to browser and bandwidth limitations, the maximum days of history allowed through this application is 30 days. Mapping controls are typical of most mapping services coupled with push on/push off layer control.
All of this development occurred within a Pycharm IDE and JSFiddle on a Linux machine. The Django MVT framework is hosted on a Linux server with Gunicorn for communicating Python duties and Nginx functioning as the webserver.
I would like to give a special thanks to all of the people and organizations that have built and contributed to this project.
Under no circumstances shall Brent Webre Software Solutions be liable for damage or loss of any kind, user assumes entire risk, application is for general information purposes only and is provided as is.
Copyright © Designed & Developed by Brent Webre Software Solutions. All rights reserved.