Past Training (1/2)
JICA Group Training for Remote Sensing Technology
People who have a talent for understanding the principle of remote sensing and skills for data analysis and evaluation are needed in order to utilize remote sensing data effectively. However, in developing countries, only a limited number of organizations can offer remote sensing training, and it is difficult to improve the technical capabilities of researchers and engineers.
This training aims to enhance the technical capabilities of researchers and engineers in developing countries who play a central role in utilizing remote sensing technology in their governmental institutions.
The training was started in 1977 with the purpose of introducing technology and experience accumulated in Japan to researchers and engineers in those countries.
It was revised as Phase II in 1997, integrated with the “Remote Sensing Technology (Advanced)” in 2001, and revised as the “Remote Sensing Technology III” in 2003. Then in 2006, it was renamed “Remote Sensing Technology (Upper Elementary to Intermediate Level)” with the focus on training mid-level engineers, and had been conducted for two years. Since 2008, a revised course entitled “Satellite Remote Sensing Data Analysis Technology for Disaster/Environmental Monitoring” has been offered with the focus on analysis of satellite remote sensing data for disaster and environmental monitoring.
Number of participants
|from 1977 to 2009||392 participants
from 54 countries
|in 2010||9 participants|
JICA Project Conterpart Training
“Remote Sensing (Utilization of ALOS Images)” and “Remote Sensing and WEB GIS (Utilization of ALOS Images)”
For the recent 3 years we have been in charge of implementation of JICA project. It is the project for utilization of ALOS PALSAR(Radar) images to support the protection of the Brazilian Amazon Forest and to fight against illegal deforestation.
The project counterparts are the Federal Police Department(DPF) and the Brazilian Institute for the Environment and Renewable Nature Resources(IBAMA).
In Amazon where clouds tends to cover the land surface throughout a year, an optical sensor is useless when it comes to acquire land surface images. On the other hand, by utilizing the Synthetic Aperture Radar(SAR), land surface images can be acquired regardless of weather and sunlight conditions.
Therefore, for the project, we provided the training focused on how to use PALSAR images which were acquired by Synthetic Aperture Radar of ALOS, for Amazon Forest monitoring.
We carried out such project conterpart training twice in Japan for the purpose of promoting intensive transfer of technology in the field of Remote Sensing and GIS.
Number of participants
|in 2009||8 participants|
|in 2010||8 participants|