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Proceedings Paper

Remote sensing applications in hydrological modeling
Author(s): Alan S. Whitelaw; Sally Howes; Peter Fletcher; Michael Rast
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Paper 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.

Paper Details

Date Published: 31 January 1995
PDF: 10 pages
Proc. SPIE 2314, Multispectral and Microwave Sensing of Forestry, Hydrology, and Natural Resources, (31 January 1995); doi: 10.1117/12.200780
Show Author Affiliations
Alan S. Whitelaw, ESYS Ltd. (United Kingdom)
Sally Howes, ESYS Ltd. (United Kingdom)
Peter Fletcher, Remote Sensing Applications Consultants (United Kingdom)
Michael Rast, ESTEC (Netherlands)

Published in SPIE Proceedings Vol. 2314:
Multispectral and Microwave Sensing of Forestry, Hydrology, and Natural Resources
Eric Mougin; K. Jon Ranson; James Alan Smith, Editor(s)

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