Results 11 to 20 of about 406,760 (210)

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

Generation of daily high-spatial resolution snow depth maps from in-situ measurement and time-lapse photographs

Cuadernos de Investigación Geográfica, 2020
Acquiring information on snow depth distribution at high spatial and temporal resolution in mountain areas is time consuming and generally these acquisitions are subjected to meteorological constrains.
J. Revuelto, E. Alonso-González, J.I. López-Moreno   +2 more
doaj   +1 more source

Accuracy assessment of late winter snow depth mapping for tundra environments using Structure-from-Motion photogrammetry

Arctic Science, 2021
Arctic tundra environments are characterized by a spatially heterogeneous end-of-winter snow depth resulting from wind transport and deposition. Traditional methods for measuring snow depth do not accurately capture such heterogeneity at catchment scales.
Branden Walker, Evan J. Wilcox, Philip Marsh   +2 more
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

Unmanned Aerial Vehicle-Based Structure from Motion Technique for Precise Snow Depth Retrieval—Implication for Optimal Ground Control Point Deployment Strategy

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, Ok-Youn Yu, Chris Schoonover, Hongxing Liu, Bo Yang   +4 more
doaj   +1 more source

Downscaling Snow Depth Mapping by Fusion of Microwave and Optical Remote-Sensing Data Based on Deep Learning

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, Yonghong Zhang, Jiangeng Wang, Wei Tian, Qi Liu, Guangyi Ma, Xi Kan, Ya Chu   +7 more
doaj   +1 more source

Converting snow depth to snow water equivalent using climatological variables [PDF]

The Cryosphere, 2019
Abstract. We present a simple method that allows snow depth measurements to be converted to snow water equivalent (SWE) estimates. These estimates are useful to individuals interested in water resources, ecological function, and avalanche forecasting. They can also be assimilated into models to help improve predictions of total water volumes over large
D. F. Hill, E. A. Burakowski, R. L. Crumley, J. Keon, J. M. Hu, A. A. Arendt, K. Wikstrom Jones, G. J. Wolken, G. J. Wolken   +8 more
openaire   +3 more sources

Subgrid parameterization for snow depth over mountainous terrain from flat field snow depth [PDF]

Water Resources Research, 2017
AbstractSnow depth is an important variable for a variety of models including land‐surface, meteorological, and climate models. Various measurement networks were therefore developed to measure snow depth on the ground. Measurement stations are generally located in gentle terrain (flat field measurements) most often at lower or mid elevation.
N. Helbig, A. van Herwijnen
openaire   +1 more source

Dominance of grain size impacts on seasonal snow albedo at deforested sites in New Hampshire [PDF]

, 2017
Snow cover serves as a major control on the surface energy budget in temperate regions due to its high reflectivity compared to underlying surfaces.
Aoki, Aoki, Aoki, Aoki, Banta, Barnett, Brown, Carmagnola, Cohen, Colbeck, Contosta, Dang, Delaney, Diamond, Doherty, Doherty, Douville, Draxler, Déry, Fierz, Flanner, Flanner, Fletcher, Gallet, Grenfell, Groisman, Hadley, Hall, Hallett, Hamilton, Hansen, Huntington, Intergovernmental Panel on Climate Change (IPCC), Kaspari, Kaspari, Knowles, Kokhanovsky, Lazarcik, Lhermitte, Libbrecht, Meinander, Nolin, Oaida, Painter, Painter, Painter, Painter, Painter, Pedersen, Peng, Perovich, Perovich, Picard, Polashenski, Qian, Qian, Qu, Qu, Ramanathan, Sall, Singh, Skiles, Skiles, Skiles, Slater, Steffensen, Sterle, Trenberth, Tukey, Verseghy, Warren, Weiss, White, Wiscombe, Wright, Yasunari   +75 more
core   +19 more sources

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, L.-J. Meriö, A. Rauhala, P. Ala-aho, A. Kuzmin, P. Korpelainen, T. Kumpula, B. Kløve, H. Marttila   +8 more
doaj   +1 more source