31 January 1995 Remote sensing applications in hydrological modeling
Author Affiliations +
Abstract
Hydrological modeling is important for a wide range of operational forecasting activities in water resource management. The aim of this paper is to assess the capabilities of Earth observation sensors in relation to modeling data requirements in order to identify future areas of development in both model and sensor specifications. Models range from simple black boxes to distributed physically based models. There is significant variation in the data required and the ways in which these data are used. This range of requirements is compared with the capabilities of existing Earth observation sensors in order to define the current situation. Progress requires the coordinated development of both the sensors and the models, together with a greater understanding of the relationship between measurement and process scales. As a result, existing obstacles to progress in both areas are reviewed with the aid of specific case studies. This analysis leads to a set of recommendations on how to develop the use of sensor data in models.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alan S. Whitelaw, Sally Howes, Peter Fletcher, Michael Rast, "Remote sensing applications in hydrological modeling", Proc. SPIE 2314, Multispectral and Microwave Sensing of Forestry, Hydrology, and Natural Resources, (31 January 1995); doi: 10.1117/12.200780; https://doi.org/10.1117/12.200780
PROCEEDINGS
10 PAGES


SHARE
KEYWORDS
Data modeling

Soil science

Synthetic aperture radar

Sensors

Modeling

Remote sensing

Floods

Back to Top