| INTEGRATION OF SENTINEL-2 AND LANDSAT 8 DATA FOR SURFACE REFLECTANCE TIME-SERIES ANALYSIS |
| Paper ID : 1410-SMPR |
| Authors: |
|
Gabriel Berdou, Suresh Shrestha, Michael Hahn * Stuttgart University of Applied Sciences |
| Abstract: |
| Integration of Sentinel-2 and Landsat-8 imagery is a key factor to provide earth observation data at a global scale with higher temporal resolution. Integration of data from two sensors is possible with the consistent harmonized data framed in common reference and processing, which can be used for comparing geophysical surface characteristics. This study focuses on the analysis of the atmospheric correction methods available for both Landsat-8 and Sentinel-2 products to convert the top of atmosphere to the bottom of atmosphere reflectance. Two processing algorithms iCOR and Sen2COR are utilized to perform atmospheric corrections, and results are statistically and visually analyzed along with comparison for different landcover types namely forest, water and urban type to assess the performance of different atmospheric correction. The results of this study confirm the enhancement of temporal resolution enabled by the combination of Landsat 8 and Sentinel-2 reflectance products since the correlations between reflectance values derived from both sensors show a strong correlation. |
| Keywords: |
| Atmospheric correction, Landsat 8 & Sentinel-2 data integration, surface reflectance, remote sensing quality assessment. |
| Status : Conditional Accept (Oral Presentation) |
