Abstract

Deep Sea Camera System Training & Expedition Assessment Report 2019

Highlights

  • In 2019, the MIT Media Lab (MIT), National Geographic Society (NGS), LindbladExpeditions (LEX) collaborated to create a pilot Deep Sea Camera System training and deployment program.The goals of the 2019 pilot were to: 1. Train MIT students/staff, LEX Undersea Specialists, and collaborating scientists on seagoing operations, including NG Deep Sea Camera System deployment, recovery, and data download.2

  • In August, we held an additional training at the MIT Media Lab for 13 people -- one LEX, two NGS, nine MIT, and one Charles Darwin Foundation (CDF)

  • In addition to Deep Sea Camera System training and deployment, three new technologies developed by the MIT Future Ocean Lab and MIT Media Lab were tested aboard National Geographic Venture in SE Alaska and off the Channel Islands, CA

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Summary

Introduction

Expeditions (LEX) collaborated to create a pilot Deep Sea Camera System training and deployment program. Train MIT students/staff, LEX Undersea Specialists, and collaborating scientists on seagoing operations, including NG Deep Sea Camera System deployment, recovery, and data download. Deep Sea Camera Systems at sea aboard LEX-NG expeditions in Southeast Alaska in late June to early September aboard NG Quest and NG Venture, and in the Galápagos in Sep-Oct aboard NG Endeavour II. Over the course of 12 weeks at sea, 25 trainees sailed on LEX-NG expeditions, deploying the Deep Sea Camera Systems 53 times, and recording 126 hours of video and environmental data (Figure 1, Table 1). Over the course of 12 weeks at sea, 25 trainees sailed on LEX-NG expeditions, deploying the Deep Sea Camera Systems 53 times, and recording 126 hours of video and environmental data in southeast Alaska (top), California (middle), and the Galápagos Archipelago (bottom)

Deployments per week
Who Completed the Survey
Mission Planning
Guest interactions
Survey Results
What worked particularly well?
Is there anything else that you would like to share?
Dividing tasks between the team members in preparation
More environmental data collection
Guest Interactions
Team Size and Expertise
Roles and Responsibilities
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