By Topic

A macro hydrologic model simulation based on remote sensing data

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Cai Yulin ; State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, CAS, Beijing, China ; Guo Zhifeng ; Yang Li

The hydrologically based variable infiltration capacity (VIC) macroscale hydrologic model was applied to simulate streamflow for Poyang Lake Basin in China. DEM needed to get basin characteristics is from SRTM. The required soil parameters are derived from the soil classification information of global 5 min data provided by the National Atmospheric and Oceanic Administration (NOAA) Hydrology Office, the vegetation parameters are derived based on MODIS products and land data assimilation system (LDAS) and the forcing data are obtained through interpolation method based on 151 stations. All of the data (i.e. soil, vegetation, and forcings) needed by VIC-3L are compiled with at 8times8 km2 resolution. The VIC-3L model is applied to the Yellow River basin and the simulated daily runoff is routed to the outlet of two stations using ARNO model and compared to daily observed streamflow at these stations. Results show that remote sensing data can play the important role in model simulation process, though application of remote sensing data can not improve the performance of the model very much.

Published in:

Earth Observation and Remote Sensing Applications, 2008. EORSA 2008. International Workshop on

Date of Conference:

June 30 2008-July 2 2008