Applying both Landsat and Sentinel-2 data to LandTrendr for detection of landscape change trends in Arctic permafrost regions
Landscape changes in the terrestrial Arctic occur on different time scales. One can normally distinguish between gradual and abrupt changes. Permafrost top-down thaw, changes in pedological processes and vegetation structure as well as aridification and paludification are gradual changes. In contras...
| Main Authors: | , |
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| Format: | Conference Object |
| Language: | unknown |
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2019
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| Online Access: | https://epic.awi.de/id/eprint/49676/ https://hdl.handle.net/10013/epic.beb27b6b-f500-4bb3-b5fe-8e8aec51854b |
| Summary: | Landscape changes in the terrestrial Arctic occur on different time scales. One can normally distinguish between gradual and abrupt changes. Permafrost top-down thaw, changes in pedological processes and vegetation structure as well as aridification and paludification are gradual changes. In contrast to that, wildfires, thermokarst formation, thermokarst lake drainage, flooding and rapid soil erosion are abrupt and sometimes even discrete change events. A high temporal resolution in observations is required to properly monitor both types of changes. Particularly discrete change events that happen abruptly can be identified and characterized more precisely with better temporal resolution. However, a better understanding of the nature of gradual changes can also be gained since short periods of increased change or stagnation can also be identified with higher temporal resolution. LandTrendr is an algorithm developed by Kennedy et al. (2010) to capture a wide range of forest disturbance and recovery occurrences based on Landsat time series. The algorithm creates cloud-free mosaics from multiple images and extracts the temporal trajectory of spectral data on a pixel-by-pixel basis. Furthermore, it segments the temporal trajectories based on regressions and point-to-point fittings of spectral indices, depicting then both long-term trends and abrupt changes (Kennedy et al., 2010). As optical remote sensing in the Arctic is highly restricted by frequent cloud cover and low illumination angles, the number of useable images per summer season is low. However, combining data of multiple optical systems bypasses this limitation. Combining data from Landsat and the newly launched ESA Copernicus Sentinel-2 mission, enables the use of data from three satellites (L-8, S-2A, S-2B), which shortens the revisit time to less than five days in high latitudes, enhances the likelihood of cloud-free images considerably, and increase the number of images per summer season dramatically. Using both Landsat and Sentinel-2 images will lead ... |
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