- Mapping Seagrass by Optical Sensors
- Monitoring and Assessment of Water Quality by Ocean Color Remote Sensing
The Special Monitoring and Coastal Environmental Assessment Regional Activity Centre (CEARAC), one of the four Regional Activity Centres (RACs) of the Northwest Pacific Action Plan (NOWPAP), will conduct an intensive training course on the analysis of remote sensing data for marine environment conservation, with a focus on the Northwest Pacific Ocean. The online course consists of 2 webinars: Mapping seagrass by optical sensors (Webinar 1); and Monitoring and assessment of water quality by ocean color remote sensing (Webinar 2). Each webinar will be held in 3 consecutive days (Webinar 1 on Nov. 30 to Dec. 2, and Webinar 2 on Dec. 14 to 16). Both of them will include lectures by experts and hands-on tutorial sessions on analysis of satellite data for the participants to gain useful skills and knowledge to utilize remote sensing data for monitoring and assessing the coastal and marine environment. Through the lectures and hands-on sessions, CEARAC will also introduce our recently developed monitoring and assessment tools (Seagrass Mapper, Seagrass Trainer, and Global Eutrophication Watch).
These webinars are targeted at young scientists, postgraduate students, professional researchers and local government officers working in the fields of marine sciences in the Northwest Pacific Region and adjacent area.
This page introduces materials for the Webinar 2: Dec. 14 - 16, 2021
- Monitoring and assessment of water quality by ocean color remote sensing
| Day | Time (JST) |
Program | Lecturers |
|---|---|---|---|
| Dec 14 (Day 1) |
14:00 - 14:10 |
Introduction and housekeeping 10 mins - Join Webinar | Makoto Hayashi and Genki Terauchi |
| 14:10 - 14:50 |
Introduction to satellite biological oceanography and ocean color remote sensing (L) 40 mins - Join Webinar | Joji Ishizaka | |
| 15:00 - 15:50 |
Application of ocean color products (H) 50 mins - Join Meeting - Introduction to the global eutrophication watch |
Eligio Maure | |
| 16:00 - 17:00 |
Working with satellite swath imagery (H) 60 mins - Join Meeting - Introduction to the online match-up tool |
Eligio Maure | |
| Dec 15 (Day 2) |
14:00 - 14:40 |
Application of ocean color products (L) 40 mins - Join Webinar - Introduction to eutrophication and Harmful algal blooms (HABs) |
Wonkook Kim |
| 15:00 - 17:20 |
Time-series analysis (H) 140 mins - Join Meeting i) Browse and download NOWPAP-Marine Env. Watch data ii) Generate monthly composites from daily images iii) Create animations from monthly images |
Eligio Maure | |
| Dec 16 (Day 3) |
14:00 - 15:40 |
Time-series analysis (H) 100 mins - Join Meeting i) Extract annual max from monthly images ii) Extract point/region of interest iii) Perform trend detection |
Eligio Maure |
| 15:50 - 16:50 |
Wrap up and Q&A 60 mins Join Meeting |
Eligio Maure and Genki Terauchi |
(L) Lecture
(H) Hands-on exercise
All hands-on use Jupyter notebooks to run Python code.
Please install Jupyter Notebook from this link.
Please also check this Jupyter notebook which explains how to have Jupyter notebook installed on different platforms.
After the installion is done, please install required modules using the requirements.txt
To do that (Windows)
- Open Anaconda Prompt.
- Type
pip install -r path_to_requirements/requirements.txtthenenter
On MacOS, you should be able to install the requirements through the terminal by launching it using ANACONDA NAVIGATOR. For MacOS users, it is worth checking this help page.
Most MacOS come with Python2 pre-installed. In this tutorial we are going to use Python3.
To avoing any conflict between the Python from the system and the one we install, it is recommended to create an isolated virtual environment; a self-contained directory tree that contains a Python installation for a particular version of Python, plus a number of additional packages.
Here we are going to create our environment using anaconda and we will call it nowpap_rst short for NOWPAP Remote Sensing Training.
- From the ANACONDA NAVIGATOR click
Environments - Under the
base (root)push the play button and then selectOpen Terminal. - Inside terminal enter
conda env create -f path_to_environment_file\environment.ymlthenenter. - After the installation is completed, in the ANACONDA NAVIGATOR
Environmentsselectnowpap_rst. - Under the play button select
Open with Jupyter Notebook. This will launch the notebook from the created environment.
If you are unable to have the system working on your computer, please let us know and we can do it together during the hands-on.