Remote Sensing Data and Information for Hydrological Monitoring and Modeling

Abstract

Remote sensing data and information are shown great potential in supplying relevant spatial data and parameters at the appropriate scale for use in distributed hydrological models for water resource applications. In contrast with many conventional data normally represented by point measurements, remote sensing based measurements are spatially averages over the pixels can appropriate for distributed hydrological model. Furthermore, remote sensing enables data access from remote areas, where data are typically sparse. Remote sensing technology used electromagnetic spectrum in the range of wavelengths of different radiations reflected or emitted by objects. Although remote sensing spectrum varies from 0.03 nm to 100 cm, visible, infrared and microwave spectrum is commonly used in retrieval of hydrological parameters.