These data are supporting the manuscript "Time-lapse photogrammetry of distributed snowdepth during snowmelt" submitted at AGU Water Ressources Research. This dataset contains time-lapse images from three cameras to perform time-lapse photogrammetry. It also contains all the relevant differential GPS data, as well as the Python Script used to processed the resulting point clouds from Photo4d (https://github.com/ArcticSnow/photo4D). The data were collected from May 10 to June 10 2018 in Finse, Norway. Data collected by Simon Filhol, Alexis Perret, Guillaume Sutter from the University of Osl
Reliable and accurate mapping of snow cover are essential in applications such as water resource man...
Thesis (Master's)--University of Washington, 2020Snow distribution is an important factor in earth p...
On Svalbard, the long-lasting snow cover and the timing of the snowmelt is a crucial factor in the y...
These are the images and a brief description of the applied workflow for the snowmelt observations u...
The snow season in the Svalbard archipelago generally lasts 6-10 months a year and significantly imp...
Arctic glaciers are reliable indicators of global climate changes. However, monitoring snow and ice ...
The ACS_Bayelva_class dataset contains 302 high-resolution binary snow cover images that were obtain...
This dataset captures the yearlong evolution of physical properties of the snow cover over Arctic se...
The dataset contains hydrological and meteorological data from a lake catchment in the Kangerlussuaq...
Time-lapse cameras are important data sources enabling us to observe changes in the Svalbard environ...
We present a multi-year high-resolution spatial data set on snow cover evolution in a catchment loca...
International audienceArctic glaciers are reliable indicators of global climate changes. However, mo...
COMInternational audienceAs is the case in many regions, arctic glaciers are reliable indicators of ...
Reliable and accurate mapping of snow cover are essential in applications such as water resource man...
Thesis (Master's)--University of Washington, 2020Snow distribution is an important factor in earth p...
On Svalbard, the long-lasting snow cover and the timing of the snowmelt is a crucial factor in the y...
These are the images and a brief description of the applied workflow for the snowmelt observations u...
The snow season in the Svalbard archipelago generally lasts 6-10 months a year and significantly imp...
Arctic glaciers are reliable indicators of global climate changes. However, monitoring snow and ice ...
The ACS_Bayelva_class dataset contains 302 high-resolution binary snow cover images that were obtain...
This dataset captures the yearlong evolution of physical properties of the snow cover over Arctic se...
The dataset contains hydrological and meteorological data from a lake catchment in the Kangerlussuaq...
Time-lapse cameras are important data sources enabling us to observe changes in the Svalbard environ...
We present a multi-year high-resolution spatial data set on snow cover evolution in a catchment loca...
International audienceArctic glaciers are reliable indicators of global climate changes. However, mo...
COMInternational audienceAs is the case in many regions, arctic glaciers are reliable indicators of ...
Reliable and accurate mapping of snow cover are essential in applications such as water resource man...
Thesis (Master's)--University of Washington, 2020Snow distribution is an important factor in earth p...
On Svalbard, the long-lasting snow cover and the timing of the snowmelt is a crucial factor in the y...