Johanna Malle
Johanna
Malle
0000-0002-6185-6449
Department of Geography and Environmental Sciences, Northumbria University, Newcastle
SLF
Rutter Nick
Rutter
Nick
0000-0002-5008-3575
Department of Geography and Environmental Sciences, Northumbria University, Newcastle
Clare Webster
Clare
Webster
0000-0002-6386-6392
WSL
Giulia Mazzotti
Giulia
Mazzotti
0000-0003-3857-7449
WSL Institute for Snow and Avalanche Research SLF
Tobias Jonas
Tobias
Jonas
0000-0003-0386-8676
WSL Institute for Snow and Avalanche Research SLF
Wintertime UAV-based land surface albedo data over forested environments
2021
EnviDat
ALBEDO
CLIMATE
FOREST SNOW
SNOW MODELLING
UAV
Johanna Malle
Johanna
Malle
0000-0002-6185-6449
Department of Geography and Environmental Sciences, Northumbria University, Newcastle
2018-01-01
2019-04-15
en
dataset
https://www.envidat.ch/dataset/lsa_forest_snow
https://www.envidat.ch/dataset/e2f6c051-40b9-469d-9276-c8980b4b53e6
12033 bytes
8316 bytes
.zip
*.zip
1.0
WSL Data Policy
This data-set contains Land Surface Albedo (LSA) data obtained via a UAV sytem with up and downlooking shortwave radiation sensors, as described in the JGR-Atmospheres paper "Effect of forest canopy structure on wintertime Land Surface Albedo: Evaluating CLM5 simulations with in-situ measurements", by Malle et al. (2021, under review). This publication must be cited when using the data.
Data was collected across a large range of forest structures and solar angles in Switzerland (Davos Laret) and in Finland (Sodankylä). For each waypoint location at each site, data includes measured LSA, incoming SWR, reflected SWR and sunlit snow-view fraction alongside zenith angle, azimuth angle and measurement time (local time). Please refer to the abovementioned article for more detailed explanation.
9.870477673248388
46.84320215344238
9.870477673248388
46.84625488037892
9.87768745108042
46.84625488037892
9.87768745108042
46.84320215344238
9.870477673248388
46.84320215344238
Finland, Switzerland
Northumbria University
INTERACT
European Union H2020 Grant Agreement No.871120, project IME4Rad