The Implementation of Multi Sensors Remote Sensing Technology for Sustainable Disaster Management
|Project Summary||The world is facing global change impact due to the climate change and nature phenomenon. Remote sensing technology is able to observe the changes, predict the possible disaster through forecasting and contribute the ways to lower the damage, up to the recovery and mitigation processes. Therefore, an international capacity building workshop is strongly needed to enhance sharing knowledge, experiences and exchanging idea for developing new technologies in remote sensing sciences among leading scientists and early careers especially those from the developing countries that are most vulnerable to the disaster related to climate change and nature variability. |
The expected outcomes of this project are (a) improving skill of the nations within the Asia Pacific countries to implement the sustainable development programme, using remote sensing sciences as one of the tools, (b) improving the awareness of the integrity of the environmental health within the nations using remote sensing technology and (c) creating and strengthening networks for science and education for sustainable development, at all levels, using remote sensing technology.
|Project Leader||Dr. Dewayany Sutrisno, Indonesian Society For Remote Sensing/ Geospatial Information Agency, INDONESIA|
|Project Collaborators||Dr. Nani Hendiarti, Indonesian Society for Remote Sensing (ISRS), email@example.com |
Dr. Mulyanto Darmawan, Indonesian Society for Remote Sensing (ISRS Geospatial Information Agency (BIG), firstname.lastname@example.org
|Countries Involved||Indonesia, Japan, Singapore|
|Scientific Thematic Area||Resources Utilisation and Pathways for Sustainable Development, Changes in the Atmospheric, Terrestrial and Marine Domains|
|Project Duration||1 year|
Cite this page
“The Implementation of Multi Sensors Remote Sensing Technology for Sustainable Disaster Management,” APN E-Lib, accessed June 25, 2017, http://www.apn-gcr.org/resources/items/show/1900.
Page created: 27 May 2013 Last modified: 2 March 2015