Improved Surface Reflectance from Remote Sensing Data with Sub-Pixel Topographic Information
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)...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2014-10-01
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| Series: | Remote Sensing |
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| Online Access: | http://www.mdpi.com/2072-4292/6/11/10356 |
| _version_ | 1818960009559539712 |
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| author | Laure Roupioz Francoise Nerry Li Jia Massimo Menenti |
| author_facet | Laure Roupioz Francoise Nerry Li Jia Massimo Menenti |
| author_sort | Laure Roupioz |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-20T11:50:43Z |
| format | Article |
| id | doaj.art-1f345dab841a400eb4219b1c3f41f262 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-12-20T11:50:43Z |
| publishDate | 2014-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-1f345dab841a400eb4219b1c3f41f2622022-12-21T19:41:46ZengMDPI AGRemote Sensing2072-42922014-10-01611103561037410.3390/rs61110356rs61110356Improved Surface Reflectance from Remote Sensing Data with Sub-Pixel Topographic InformationLaure Roupioz0Francoise Nerry1Li Jia2Massimo Menenti3ICube Laboratory, UMR 7357 CNRS-University of Strasbourg, 300 bd Sebastien Brant, CS 10413, F-67412 Illkirch Cedex, FranceICube Laboratory, UMR 7357 CNRS-University of Strasbourg, 300 bd Sebastien Brant, CS 10413, F-67412 Illkirch Cedex, FranceAlterra, Wageningen UR, Droevendaalsesteeg 3, 6708 PB Wageningen, The NetherlandsFaculty of Civil Engineering and Earth Sciences, Delft University of Technology, Building 23, Stevinweg 1, Post Box 5048, 2628 CN Delft, The NetherlandsSeveral 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.http://www.mdpi.com/2072-4292/6/11/10356surface reflectancetopographic correctionsub-pixel heterogeneity |
| spellingShingle | Laure Roupioz Francoise Nerry Li Jia Massimo Menenti Improved Surface Reflectance from Remote Sensing Data with Sub-Pixel Topographic Information Remote Sensing surface reflectance topographic correction sub-pixel heterogeneity |
| title | Improved Surface Reflectance from Remote Sensing Data with Sub-Pixel Topographic Information |
| title_full | Improved Surface Reflectance from Remote Sensing Data with Sub-Pixel Topographic Information |
| title_fullStr | Improved Surface Reflectance from Remote Sensing Data with Sub-Pixel Topographic Information |
| title_full_unstemmed | Improved Surface Reflectance from Remote Sensing Data with Sub-Pixel Topographic Information |
| title_short | Improved Surface Reflectance from Remote Sensing Data with Sub-Pixel Topographic Information |
| title_sort | improved surface reflectance from remote sensing data with sub pixel topographic information |
| topic | surface reflectance topographic correction sub-pixel heterogeneity |
| url | http://www.mdpi.com/2072-4292/6/11/10356 |
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