Results 41 to 50 of about 27,923 (202)
Remote Sensing, 2015 High-resolution snow distributions are essential for studying cold regions. However, the temporal and spatial resolutions of current remote sensing snow maps remain limited. Remotely sensed snow cover fraction (SCF) data only provide quantitative descriptions of snow area proportions and do not provide information on subgrid-scale snow locations.
Hongyi Li 0003 +5 more
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Grizzly bear response to fine spatial and temporal scale spring snow cover in Western Alberta.
PLoS ONE, 2019 Snow dynamics influence seasonal behaviors of wildlife, such as denning patterns and habitat selection related to the availability of food resources. Under a changing climate, characteristics of the temporal and spatial patterns of snow are predicted to ...
Ethan E Berman +3 more
doaj +1 more source
Spatial Patterns of Snow Cover in North Carolina: Surface and Satellite Perspectives [PDF]
, 2010 Snow mapping is a common practice in regions that receive large amounts of snowfall annually, have seasonally-continuous snow cover, and where snowmelt contributes significantly to the hydrologic cycle.
Fuhrmann, Christopher M. +3 more
core +1 more source
Fractional Snow/Non-Snow Cover Mapping through Incorporation of Thermal Band in Snow Index Design
International Journal of Geosciences, 2017 Substantial development has been achieved in snow cover delineations through binary mapping techniques. Continuous efforts for development and institution of methodologies in fractional snow cover mapping are steadily conducted by the research communities. In this work, the attempts are driven towards the attainment of the same.
B. C. Yadav, Kamal Jain
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A New Retrieval Algorithm of Fractional Snow over the Tibetan Plateau Derived from AVH09C1
Remote SensingSnow cover products are primarily derived from the Moderate-resolution Imaging Spectrometer (MODIS) and Advanced Very-High-Resolution Radiometer (AVHRR) datasets. MODIS achieves both snow/non-snow discrimination and snow cover fractional retrieval, while
Hang Yin, Liyan Xu, Yihang Li
doaj +1 more source
An Assessment of Existing Methodologies to Retrieve Snow Cover Fraction from MODIS Data [PDF]
Remote Sensing, 2018 The characterization of snow extent is critical for a wide range of applications. Since 1966, snow maps at different spatial resolutions have been produced using various satellite sensor images. Nowadays, the most widely used products are likely those derived from Moderate-Resolution Imaging Spectroradiometer (MODIS) data, which cover the whole Earth ...
Masson, Théo +6 more
openaire +5 more sources
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017 Three MODIS-based fractional snow cover data are evaluated over the Tibetan Plateau from May, 2013 to April, 2015 with Landsat8/OLI data, including MOD10A1 in MODIS snow products collection 6[1, 2], along with MODSCAG[3] and MODAGE[4] fractional snow cover data which were retrieved based on linear spectral mixture analysis algorithm.
Shirui Hao +3 more
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Improved Snow Mapping Accuracy with Revised MODIS Snow Algorithm [PDF]
, 2012 The MODIS snow cover products have been used in over 225 published studies. From those reports, and our ongoing analysis, we have learned about the accuracy and errors in the snow products.
Hall, Dorothy K., Riggs, George
core +1 more source
Mapping and monitoring of the snow cover fraction over North America [PDF]
Journal of Geophysical Research: Atmospheres, 2003 Automated snow maps over North America have been produced at the National Environmental Satellite Data and Information Service (NESDIS) of the National Oceanic and Atmospheric Administration (NOAA) since 1999. The developed snow‐mapping system is based on observations in the visible, middle infrared, infrared, and microwave spectral bands from ...
Peter Romanov +3 more
openaire +1 more source
Semi-Automatic Fractional Snow Cover Monitoring from Near-Surface Remote Sensing in Grassland
Remote Sensing, 2021 Snow cover is an important variable in both climatological and hydrological studies because of its relationship to environmental energy and mass flux. However, variability in snow cover can confound satellite-based efforts to monitor vegetation phenology.
Anaí Caparó Bellido +1 more
doaj +1 more source