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Remote Sens. 2014, 6(11), 10356-10374;

Improved Surface Reflectance from Remote Sensing Data with Sub-Pixel Topographic Information

ICube Laboratory, UMR 7357 CNRS-University of Strasbourg, 300 bd Sebastien Brant, CS 10413, F-67412 Illkirch Cedex, France
Alterra, Wageningen UR, Droevendaalsesteeg 3, 6708 PB Wageningen, The Netherlands
Faculty of Civil Engineering and Earth Sciences, Delft University of Technology, Building 23, Stevinweg 1, Post Box 5048, 2628 CN Delft, The Netherlands
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Science, B-205, RADI Olympic Park Campus, Datun Road 20A, Chaoyang District, P.O. Box 9718, Beijing100101, China
Author to whom correspondence should be addressed.
Received: 1 September 2014 / Revised: 8 October 2014 / Accepted: 21 October 2014 / Published: 28 October 2014
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Several methods currently exist to efficiently correct topographic effects on the radiance measured by satellites. Most of those methods use topographic information and satellite data at the same spatial resolution. In this study, the 30 m spatial resolution data of the Digital Elevation Model (DEM) from ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) are used to account for those topographic effects when retrieving land surface reflectance from satellite data at lower spatial resolution (e.g., 1 km). The methodology integrates the effects of sub-pixel topography on the estimation of the total irradiance received at the surface considering direct, diffuse and terrain irradiance. The corrected total irradiance is then used to compute the topographically corrected surface reflectance. The proposed method has been developed to be applied on various kilometric pixel size satellite data. In this study, it was tested and validated with synthetic Landsat data aggregated at 1 km. The results obtained after a sub-pixel topographic correction are compared with the ones obtained after a pixel level topographic correction and show that in rough terrain, the sub-pixel topography correction method provides better results even if it tends to slightly overestimate the retrieved land surface reflectance in some cases. View Full-Text
Keywords: surface reflectance; topographic correction; sub-pixel heterogeneity surface reflectance; topographic correction; sub-pixel heterogeneity

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Roupioz, L.; Nerry, F.; Jia, L.; Menenti, M. Improved Surface Reflectance from Remote Sensing Data with Sub-Pixel Topographic Information. Remote Sens. 2014, 6, 10356-10374.

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