Uncertainty reduction and parameter estimation of a distributed hydrological model with ground and remote-sensing data
نویسندگان
چکیده
منابع مشابه
Distributed Hydrological Modelling and Application of Remote Sensing Data
The use of physically-based distributed hydrological models demands comprehensive amounts of data both to parameterise and force the model as well as to validate it. Conventionally measured data are mainly restricted to point measurements which are less optimal for use in a spatial distributed context. However, remote sensing can offer such area integrated measures albeit through a more indirec...
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LAL P. MUTHUWATTA, MARTIJN J. BOOIJ, TOM H. M. RIENTJES, M. G. BOS, A. S. M. GIESKE & MOBIN-UD-DIN AHMAD 1 International Water Management Institute, PO Box 2075, Colombo, Sri Lanka 2 Water Engineering and Management, Faculty of Engineering Technology, University of Twente, PO Box 217, 7500 AE Enschede, The Netherlands [email protected] 3 International Institute for Geo-Information Science an...
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In this article we describe a Bayesian model for integration of multi-scale image data. The approach is based on the concept of a reference resolution. Data at this and lower resolutions are connected to the reference resolution through a fully specified statistical model. Algorithms for parameter estimation and classification based on the multi-scale model are proposed, and results and compari...
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ژورنال
عنوان ژورنال: Hydrology and Earth System Sciences
سال: 2015
ISSN: 1607-7938
DOI: 10.5194/hess-19-1727-2015