DocumentCode
3023926
Title
Precipitation analysis by X-band MP radar data using Google Earth
Author
Nishio, Masatoshi ; Mori, Marco
fYear
2013
fDate
21-26 July 2013
Firstpage
570
Lastpage
573
Abstract
Flood damage due to heavy rain is quite severe in Japan during the annual typhoon season, which causes death and serious destruction every year. The Ministry of Land, Infrastructure, Transport and Tourism (MLIT) of Japan started the operation of the X-band Multi-Parameter (MP) radar system in February, 2012, at 23 observation stations in Japan. Several services using the X-band MP radar data have already been provided in web-based weather maps by some agencies. However, almost all these web-based weather maps only show rainfall images of precipitation per minute given by the X-band MP radar data, the back images of which are only blank maps with prefecture border lines. The MLIT website itself also shows a similar such weather map. So, such a high spatial resolution is not effective with these weather maps. Accordingly, the present study used the X-band MP radar data to develop an accumulated rainfall monitoring system on a website, which uses Google Earth pro v.6.0 and ArcGIS 10.0 (ESRI). The accumulated rainfall data contains one hour, three hour, and six hour precipitations, and is quite crucial for disaster prediction. The present accumulated rainfall monitoring system is designed to meet the needs of agencies in both the public and private sectors, with local governments playing an especially important role in predicting and monitoring flood or landslide occurrences in their jurisdiction.
Keywords
Internet; disasters; floods; geographic information systems; geomorphology; geophysics computing; hydrological techniques; local government; meteorological radar; rain; ArcGIS 10.0; ESRI; Google Earth pro v.6.0; Japan MLIT; MLIT Website; Ministry of Land Infrastructure Transport and Tourism; Web-based weather map; X-band MP radar data; X-band Multiparameter radar system; accumulated rainfall data; accumulated rainfall monitoring system; disaster prediction; flood damage; flood monitoring; flood prediction; heavy rain; landslide occurrence; local government; precipitation analysis; prefecture border lines; rainfall image; spatial resolution; typhoon season; Earth; Floods; Google; Radar imaging; Rain; Spaceborne radar; 3D GIS; Precipitation rate; X-band radar;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location
Melbourne, VIC
ISSN
2153-6996
Print_ISBN
978-1-4799-1114-1
Type
conf
DOI
10.1109/IGARSS.2013.6721220
Filename
6721220
Link To Document