HR: 16:15h
AN: H34D-02    [Abstracts]
TI: A Prototype Hydrologic Observatory for the Neuse River Basin Using Remote Sensing Data as a Part of the CUAHSI-HIS Effort
AU: * Kanwar, R
EM: rkanwar@geol.sc.edu
AF: Department of Geological Sciences, 701 Sumter Street University of South Carolina , Columbia, SC 29208 United States
AU: Narayan, U
EM: unarayan@geol.sc.edu
AF: Department of Geological Sciences, 701 Sumter Street University of South Carolina , Columbia, SC 29208 United States
AU: Lakshmi, V
EM: vlakshmi@geol.sc.edu
AF: Department of Geological Sciences, 701 Sumter Street University of South Carolina , Columbia, SC 29208 United States
AB: Remote sensing has the potential to immensely advance the science and application of hydrology as it provides multi-scale and multi-temporal measurements of several hydrologic parameters. There is a wide variety of remote sensing data sources available to a hydrologist with a myriad of data formats, access techniques, data quality issues and temporal and spatial extents. It is very important to make data availability and its usage as convenient as possible for potential users. The CUAHSI Hydrologic Information System (HIS) initiative addresses this issue of better data access and management for hydrologists with a focus on in-situ data, that is point measurements of water and energy fluxes which make up the 'more conventional' sources of hydrologic data. This paper explores various sources of remotely sensed hydrologic data available, their data formats and volumes, current modes of data acquisition by end users, metadata associated with data itself, and requirements from potential data models that would allow a seamless integration of remotely sensed hydrologic observations into the Hydrologic Information System. Further, a prototype hydrologic observatory (HO) for the Neuse River Basin is developed using surface temperature, vegetation indices and soil moisture estimates available from remote sensing. The prototype (HO) uses the CUAHSI digital library system (DLS) on the back (server) end. On the front (client) end, a rich visual environment has been developed in order to provide better decision making tools in order to make an optimal choice in the selection of remote sensing data for a particular application. An easy point and click interface to the remote sensing data is also implemented for common users who are just interested in location based query of hydrologic variable values.
DE: 1848 Monitoring networks
DE: 1855 Remote sensing (1640)
SC: Hydrology [H]
MN: Fall Meeting 2005