International Project
on
Research and Development Applying Advanced Computational Science and Technology
A N D E S
Asia Pacific Network for Disaster Mitigation using Earth Observation Satellite
Since Oct. 1, 1998
In recent years, the impacts of global climate changes are
becoming worse for human activities, especially in agriculture
and forestry. They make flooding, drought and big forest fire
around the world, mentioned as the natural disasters.
It is easy to count those disaster events in East Asian countries.
Therefore, It is strongly required to establish systems for
mitigating these natural disasters.
These problems are one of the cross boundary problems and
we need to collaborate with the researchers, policy makers and
related people in this region as the regional issue.
The objective of this project is to detect and inform disasters
in Asia-Pacific region as soon as possible by using satellite
data and high-capacity network systems.
The following four study themes are executed:
such as the study on
(1) Real-time Archiving:
to develop a real time archiving and delivering system of satellite data,
(2) Forest Fire:
to detect fire and create fire risk map,
(3) Agricultural Disaster:
to detect flood and create drought risk map,
(4) Heavy rain:
to evaluate the data of Tropical Rain Measuring Mission
(TRMM).
The main satellite data used for this project are NOAA-AVHRR
and GMS for forest fire and agricultural disaster,
DMSP-OLS for forest fire and TRMM for heavy rain.
High-resolution satellite data are also used for observing
the situation of the study area according to the necessity.
The NOAA- AVHRR data are received in Japan and Thailand and
these data are transferred in real time to the computer center
of Agriculture,
Forestry and Fisheries research in Tsukuba.
The DMSP-OLS data and TRMM data are also transferred to the center
from USA through the network.
These data are processed and archived in the SIDaB system,
which is managed by the computer center.
As for the NOAA-AVHRR, the nighttime data are
used for detecting the hot spot and the daytime data are used for
monitoring vegetation condition in global scale.
he SIDaB system automatically generates both the weekly composite
images and the ten-days' composite image of East Asia region.
From the ten-days' composite image,
we analyze the vegetation condition and create the terrain
images for being used with other disaster products as the base image.
The data of global geographic information in Asia Pacific area,
such as the Digital Chart of the World (DCW),
the global Digital Elevation Model (DEM: 30 arc second),
the FAO digital soil maps and meteorological data are
also used for producing disaster maps and risk maps.
This project aims to develop the operational systems for
mitigating the disasters.
Therefore, the project has close relations with related
institutions in other countries,
especially with governmental disaster management units
and network specialties.
Forestry and Forest Products Research Institute
National Institute of Agricultural Environment Study
Meteorological Research Institute
Computer Center for Agriculture, Forestry and Fisheries Research
National Space Development Agency