AG2PI Workshop #16 - Friday November 18, 2022


Sharing UAS Based High Throughput Plant Phenotyping Data Via Public Clouds

Friday November 18, 2022 @ 12:00 - 2:00 PM (US Central Time)
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Friday November 18, 2022
12:00 - 2:00 PM
(US Central Time)

Purpose

Learn how to using Oracle Cloud Infrastructure to share Unoccupied Aircraft System (UAS) High Throughput Plant Phenotyping (HTPP) data.

Registration

(Virtual Zoom Meeting)

Register for the virtual event by clicking the link below. Upon registration, you will receive a confirmation email with information about joining the meeting

Workshop Registration

Workshop Resources

Click the buttons below to access resources and/or watch recording of this workshop

Watch Workshop Recording Github Repository

Recent advancements in sensor technologies make it possible to integrate advanced sensors into UAS platforms. UAS has unique advantages over traditional full-scale airborne and spaceborne systems:

  1. flexible deployment options,
  2. faster data turn-around time,
  3. lower operational cost, and
  4. acquire high spatial and temporal resolution data.

The main goal of this workshop is to help research scientists share Unoccupied Aircraft System (UAS) High Throughput Plant Phenotyping (HTPP) data using Oracle Cloud Infrastructure. This workshop will cover three modules:

  1. Configuring a web server using an Oracle Cloud Infrastructure,
  2. How to share raster geospatial data products as a web service, and
  3. How to share 3D point cloud data as a web service.

** This work was supported with an AG2PI seed grant **

View AG2PI Funded Seed Grant

About Presenter

Dr. Jinha Jung

Jinha Jung received the B.S. and M.S. degree in Civil, Urban, and Geosystem Engineering from Seoul National University, Seoul, South Korea, in 2003 and 2005, respectively, and the Ph.D. degree in the Lyles School of Civil Engineering, Purdue University, West Lafayette, USA. He is an Assistant Professor at the Lyles School of Civil Engineering, Purdue University, West Lafayette, USA. His research interest is advanced geospatial data analysis for interdisciplinary research leveraging his specialties in remote sensing, GIS, and high-performance computing.