Tutorial Session Registration Link
Tutorial Session (JKWOC/AWOC 2021) - Google Forms
Course Outline
Date : 2021/12/20 (Monday)
Place : Zoom Online Meeting (link to be sent later)
[Course-1]
- Title : IOPs-centered system for ocean color remote sensing and applications
- Lecturer : Prof. Zhongping Lee (University of Massachusetts Boston)
- Time : 09:00-12:00 (UTC+09)
- Zoom Link
https://pusan.zoom.us/j/89300670394?pwd=N1IyaWVGRjRldnl6Z3FJVDNKLzZEQT09
Meeting ID: 893 0067 0394, PW: 12201
[Course-2]
- Title : Google Earth Engine for Ocean Color
- Lecturer : Dr. Elígio Maúre (Northwest Pacific Region Environmental Cooperation Center)
- Time : 14:00-17:00 (UTC+09)
- Zoom Link
https://pusan.zoom.us/j/86256806591?pwd=aTdIVzcxcmVsOCtXcndtWVhRZWtiZz09
Meeting ID: 862 5680 6591, PW: 12202
Course Description
[Course-1] IOPs-centered system for ocean color remote sensing and applications
Through analyzing the spectrum of ocean (water) color, spatial distributions of water’s optical and biological properties in the upper ocean or lakes can be revealed, which help scientists and managers to gauge the status of the aquatic environment and to make management decisions. More importantly, this lay the ground to obtain optical-biogeochemical properties of world oceans through satellite ocean color remote sensing. Historically, ocean color remote sensing was focused on the retrieval of chlorophyll concentration (Chl), an important index of phytoplankton biomass and nutrient level, and many applications have been developed centered on this product. However, because of the intrinsic gap between a physics property (ocean color) and a biological property (Chl), there are always large or small uncertainties in the ocean-color derived Chl, subsequently affecting many applications. A more robust approach for ocean color remote sensing and applications is the physics-based system, in particular the retrieval and subsequent utilization of water’s inherent optical properties (IOPs), as there are no differences in the attributes between ocean color and IOPs. In this lecture, the algorithms for the retrieval of IOPs from ocean color will be introduced; further, various examples regarding the applications of IOPs will be presented, which include the estimation of water clarity, primary production, as well as the simulation of ocean circulation.
<Pre-requisite>
PC with Microsoft Office (mostly excel and word)
[Course-2] Google Earth Engine for Ocean Color
<Learning objectives>
By the end of the course, it is expected that students will be able to
i) Be familiar with the code editor and the Earth Engine tools available.
ii) Search Earth Engine data catalogue and import data into the code editor.
iii) Select images based on date/time and/or area of interest.
iv) Display an image in the map.
v) Prepare and display animations.
vi) Apply temporal and spatial operations into image(s).
vii) Perform time series operations and be able to export data to Google drive.
<Audience>
The training is intended for ocean colour scientists interested in leveraging the use of Earth Engine for processing and analysis of ocean colour data. Familiarity with Google Earth Engine is not required.
<Prerequisites>
The training has the following prerequisites
1. A laptop or desktop with internet access
2. Get a GMAIL/GOOGLE account
3. Sign up for Earth Engine (http://bit.ly/GoogEEngine) with your GMAIL/GOOGLE account
a. Please sign up in advance to ensure access to Earth Engine
4. Verify your access to Google Earth Engine though the link (https://code.earthengine.google.com)