Weber, Helga; Naegeli, Kathrin; Wunderle, Stefan (12 October 2021). Impact of Forest Canopy Parameterization on Space-Borne Snow on Ground Detection. 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, pp. 864-867. IEEE 10.1109/IGARSS47720.2021.9553397
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Impact_of_Forest_Canopy_Parameterization_on_Space-Borne_Snow_on_Ground_Detection.pdf - Published Version Restricted to registered users only Available under License Publisher holds Copyright. Download (536kB) |
Snow on ground time series in forested regions are essential for climate and hydrological modelling. The SCAmod algorithm corrects for forest canopy using predetermined values of three reflectance constituents (opaque forest, wet snow, and snow-free ground) and a static transmissivity map. Thus, snow cover extent retrievals depend largely on the representativeness of the static model parameters. In this study, we assess the impact of forest canopy reflectance and its changes on AVHRR retrieved snow cover extent time series for the European Alps. Our initial results explain variations caused by different SCAmod parameterizations and land cover types and suggest the need for improvement using dynamic, time-dependent, and sensor-specific (non-)forest reflectance constituents.
Item Type: |
Conference or Workshop Item (Paper) |
|---|---|
Division/Institute: |
10 Strategic Research Centers > Oeschger Centre for Climate Change Research (OCCR) 08 Faculty of Science > Institute of Geography |
UniBE Contributor: |
Weber, Helga, Naegeli, Kathrin, Wunderle, Stefan |
Subjects: |
500 Science > 550 Earth sciences & geology |
ISSN: |
2153-6996 |
Publisher: |
IEEE |
Language: |
English |
Submitter: |
Helga Weber |
Date Deposited: |
12 Dec 2022 14:20 |
Last Modified: |
12 Dec 2022 18:39 |
Publisher DOI: |
10.1109/IGARSS47720.2021.9553397 |
BORIS DOI: |
10.48350/175742 |
URI: |
https://boris.unibe.ch/id/eprint/175742 |
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