Remote Sensing, 2023 Unmanned aerial vehicle (UAV)-based snow depth is mapped as the difference between snow-on and snow-off digital surface models (DSMs), which are derived using the structure from motion (SfM) technique with ground control points (GCPs).
Song Shu +4 more
doaj +1 more source
Intercomparison of photogrammetric platforms for spatially continuous snow depth mapping [PDF]
The Cryosphere, 2021 Snow depth has traditionally been estimated based on point measurements collected either manually or at automated weather stations. Point measurements, though, do not represent the high spatial variability in snow depths present in alpine terrain ...
L. A. Eberhard +7 more
doaj +1 more source
EVALUATING THE CONSISTENCY OF REMOTE SENSING BASED SNOW DEPTH PRODUCTS IN ARID ZONE OF WESTERN CHINA [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 Snow cover is a sensitive indicator of global climate change. Among various snow cover parameters, snow depth which can indicate snow accumulation is essential for retrieving snow water equivalent.
Q. Zhou, B. Sun
doaj +1 more source
Ground-based GPS Used in the Snow Depth Survey of Greenland [PDF]
Journal of Geodesy and Geoinformation Science, 2021 Snow cover is one of the important components of land cover, and it is necessary to accurately monitor the depth and coverage of snow cover. Using the GPS signal receiver data and the basic principle of snow depth detection based on GPS-MR technology ...
Shuangcheng ZHANG,Meiling ZHOU,Yajie WANG,Ning LIU,Qi LIU,Jilun PENG
doaj +1 more source
Impacts of landscape and climatic factors on snow cover in the Altai Mountains, China
Advances in Climate Change Research, 2021 Snow properties and their changes are crucial to better understanding of hydrological processes, soil thermal regimes, and surface energy balances. Reliable data and information on snow depth and snow water equivalent (SWE) are also crucial for water ...
Xin-Yue Zhong +10 more
doaj +1 more source
Measuring the spatiotemporal variability in snow depth in subarctic environments using UASs – Part 2: Snow processes and snow–canopy interactions [PDF]
The Cryosphere, 2023 Detailed information on seasonal snow cover and depth is essential to the understanding of snow processes, to operational forecasting, and as input for hydrological models.
L.-J. Meriö +8 more
doaj +1 more source
Evaluation of Operation IceBridge quick-look snow depth estimates on sea ice [PDF]
, 2015 We evaluate Operation IceBridge (OIB) ‘quick-look’ (QL) snow depth on sea ice retrievals using in situ measurements taken over immobile first-year ice (FYI) and multi-year ice (MYI) during March of 2014. Good agreement was found over undeformed FYI (-4.5
Joshua King +17 more
core +1 more source
Spatio-temporal influence of tundra snow properties on Ku-band (17.2 GHz) backscatter [PDF]
, 2015 During the 2010/11 boreal winter, a distributed set of backscatter measurements was collected using a ground-based Ku-band (17.2 GHz) scatterometer system at 26 open tundra sites.
King, Joshua +7 more
core +1 more source
Remote Sensing, 2021 Accurate high spatial resolution snow depth mapping in arid and semi-arid regions is of great importance for snow disaster assessment and hydrological modeling.
Linglong Zhu +7 more
doaj +1 more source
Evaluation of snow cover and depth simulated by a land-surface model using detailed regional snow observations from Austria [PDF]
, 2010 An evaluation is undertaken of the accuracy with which the Joint UK Land Environment Simulator (JULES) can simulate snow cover and depth when driven using data from the Hadley Centre Regional Climate Model.
Thomas Lafon +8 more
core +1 more source