Precipitation plays an important role in understanding the mechanisms and interactions of Earth's water and energy balance. It is the main input data for hydro-meteorological models and climate research. In this study, a study was conducted to evaluate the accuracy of satellite rainfall by comparing GPM (IMERG) satellite rainfall data with ASOS ground rainfall data of the Korea Meteorological Administration. The study area was conducted by dividing the four major river basins in Korea.
The Mekong River is the 12th longest river in the world and is an important river called the lifeline of Southeast Asia. The Mekong River and its tributaries usually rain heavily in August. This causes the water level to rise sharply and floods begin to fill the vast floodplain. The purpose of this study is to analyze the amount of flooding in the Mekong River basin using precipitation data calculated by satellites, and to estimate the flood area.
In countries with insufficient infrastructure related to water, it is difficult to identify hydro-meteorological characteristics due to insufficient measurement data. Rainfall data derived from satellites can be an alternative for insufficient hydro-meteorological measurement data. The purpose of this study is to develop a program that estimates the approximate inundation range using rainfall data derived from satellites and global topographic data
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.