Title :
A Remote Sensing Model Estimating Lake Evaporation
Author :
Wang, Junming ; Sammis, Ted W. ; Gutschick, Vince P.
Author_Institution :
Dept. of Plant & Environ. Sci., New Mexico State Univ., Las Cruces, NM
Abstract :
There is a need to create an accurate and convenient method to measure lake evaporation loss that can be used internationally. The research in this paper developed a remote sensing tool to estimate evaporation loss from reservoirs to aid international water delivery management. The model uses the energy balance principle to measure evaporation depth (mm/day). The evaporation depth has a high temporal resolution (1 day) and a moderate spatial resolution (1000 m by 1000 m). The model is written in C++ as a user-friendly software package. The model uses MODIS (Moderate Resolution Imaging Spectroradiometer) satellite data (L1B raw data) and local weather data (radiation, wind speed, and humidity). The model was calibrated and evaluated using reservoir data. The model accuracy is acceptable and is capable for aiding international water delivery management.
Keywords :
C++ language; evaporation; geophysics computing; hydrological techniques; lakes; remote sensing; reservoirs; (local weather data; C++; MODIS satellite data; Moderate Resolution Imaging Spectroradiometer; energy balance principle; international water delivery management; lake evaporation; remote sensing model; reservoirs; user friendly software package; Energy measurement; Energy resolution; Lakes; Loss measurement; MODIS; Remote sensing; Reservoirs; Software packages; Spatial resolution; Water resources; Energy balance; Lake evaporation; MODIS; Remote sensing;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-2807-6
Electronic_ISBN :
978-1-4244-2808-3
DOI :
10.1109/IGARSS.2008.4779752