Comparing spectral characteristics of Landsat-8 and Sentinel-2 data for Arctic permafrost regions
Optical remote sensing in the Arctic is highly restricted by frequent cloud cover and low illumination angles, which decreases the amount of useable images during the short vegetation period considerably. As a result, even the more than 30-year long and continuous Landsat mission archive only contai...
| Main Authors: | , |
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| Format: | Conference Object |
| Language: | unknown |
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2018
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| Online Access: | https://epic.awi.de/id/eprint/48610/ https://epic.awi.de/id/eprint/48610/1/Comparing_spectral_characteristics_of_Landsat-8_and_Sentinel-2_data_for_Arctic_permafrost_regions.pdf https://epic.awi.de/id/eprint/48610/6/Runge_Grosse_ICRSS_Compring_Landsat-8_and_Sentinel-2_Poster.pdf https://hdl.handle.net/10013/epic.0fbc2d41-1001-45cf-a323-41f7da4ad993 |
| Summary: | Optical remote sensing in the Arctic is highly restricted by frequent cloud cover and low illumination angles, which decreases the amount of useable images during the short vegetation period considerably. As a result, even the more than 30-year long and continuous Landsat mission archive only contains few suitable images for a summer season per year. With the start of the ESA Copernicus Sentinel-2 mission in 2015 and enhanced data availability from its two satellites (S-2A, S-2B) the revisit time, combining data of the two Sentinel-2 and the Landsat-8 satellites, is shortened to less than five days in high latitude regions. The dramatic increase in the number of images per summer season enhances the opportunity for cloud-free image acquisitions considerably. Hence, assessing the spectral compatibility of multispectral Landsat-8 and Sentinel-2 images for a combined application in time-series analysis of multispectral properties to monitor vegetation and landscape dynamics in the Arctic is particularly important. This increase in available multispectral images of the Arctic facilitates the possibility of creating dense time series, which improves mapping vegetation and biomass and monitoring their changes in a rapidly warming Arctic. An advantage is to be able to detect landscape dynamics and to differentiate between rapid and gradual changes, and therefore describing permafrost region disturbances better (Stow et al., 2004). In general, the multispectral Landsat-8 Operational Land Imager (OLI) and the Sentinel-2 Multispectral Imager (MSI) sensors are comparable: they feature several roughly corresponding bands and similar spatial resolutions. While both global and regional assessments of Landsat-8 and Sentinel-2 datasets already describe the combined usability of the two, they also underline the necessity of regional studies to capture the landscape specific responses of both sensors before any combined application. Therefore, before a linked use in time series analysis of high latitude tundra regions the ... |
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