Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 434004
Title The retrieval of land surface albedo in rugged terrain
Author(s) Gao, B.; Jia, L.; Menenti, M.
Source In: Proceedings of The Second International Workshop on Earth Observation and Remote Sensing Applications (EORSA 2012). - Shanghai, China : IEEE Xplore - ISBN 9781467319478 - p. 41 - 45.
Event Shanghai, China : IEEE Xplore - ISBN 9781467319478 The Second International Workshop on Earth Observation and Remote Sensing Applications (EORSA 2012), 2012-06-08/2012-06-11
DOI https://doi.org/10.1109/EORSA.2012.6261131
Department(s) Alterra - Earth informatics
Publication type Contribution in proceedings
Publication year 2012
Abstract Land surface albedo may be derived from the satellite data through the estimation of a bidirectional reflectance distribution function (BRDF) model and angular integration. However many BRDF models do not consider explicitly the topography. In rugged terrain, the topography influences the observed surface reflectance, and varies the distribution of downward irradiance, so that BRDF and angular integration will change from flat area to rugged area. This paper details an approach to take into account the topography influences on the surface reflectance, and outlines an algorithm considering the topographic factor. This algorithm makes use of a Digital Elevation Model (DEM) to correct the incidence angle and the reflection angle in a BRDF model, and performs the angular integration based on the different distribution of downward irradiance between a flat area and a rugged area. This approach was applied to HJ-1A/B data and the results were compared with the ones obtained with the algorithm designed for NASA's MODIS data.
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