Results 41 to 50 of about 40,815 (264)

A MULTI-TEMPORAL APPROACH FOR DETECTING SNOW COVER AREA USING GEOSTATIONARY IMAGERY DATA [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
In this study, we attempt to detect snow cover area using multi-temporal geostationary satellite imagery based on the difference of spectral and temporal characteristics between snow and clouds. The snow detection method is based on sequential processing
H.-S. Lee, K.-S. Lee
doaj   +1 more source

Evaluation of the snow‐covered area data product from MODIS

Hydrological Processes, 2002
AbstractThe Moderate Resolution Imaging Spectroradiometer (MODIS), flown on board the Terra Earth Observing System (EOS) platform launched in December 1999, produces a snow‐covered area (SCA) product. This product is expected to be of better quality than SCA products based on operational satellites (notably GOES and AVHRR), due both to improved ...
Maurer, Edwin P., Rhoads, Joshua D., Dubayah, Ralph O., Lettenmaier, Dennis P.   +3 more
openaire   +2 more sources

Spatio-Temporal Change of Snow Cover and Its Response to Climate over the Tibetan Plateau Based on an Improved Daily Cloud-Free Snow Cover Product

Remote Sensing, 2014
Using new, daily cloud-free snow-cover products, this study examines snow cover dynamics and their response to climate change. The results demonstrate that the daily cloud-free snow-cover products not only posses the advantages of the AMSR-E (unaffected
Wei Wang, Xiaodong Huang, Jie Deng, Hongjie Xie, Tiangang Liang   +4 more
doaj   +1 more source

ESTIMATION OF SUBPIXEL SNOW-COVERED AREA BY NONPARAMETRIC REGRESSION SPLINES [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
Measurement of the areal extent of snow cover with high accuracy plays an important role in hydrological and climate modeling. Remotely-sensed data acquired by earth-observing satellites offer great advantages for timely monitoring of snow cover. However,
S. Kuter, Z. Akyürek, G.-W. Weber
doaj   +1 more source

Landsat, MODIS, and VIIRS snow cover mapping algorithm performance as validated by airborne lidar datasets [PDF]

The Cryosphere, 2023
Snow cover mapping algorithms utilizing multispectral satellite data at various spatial resolutions are available, each treating subpixel variation differently.
T. Stillinger, K. Rittger, K. Rittger, M. S. Raleigh, A. Michell, R. E. Davis, E. H. Bair   +6 more
doaj   +1 more source

Retrieval of subpixel snow covered area, grain size, and albedo from MODIS

Remote Sensing of Environment, 2009
article i nfo We describe and validate a model that retrieves fractional snow-covered area and the grain size and albedo of that snow from surface reflectance data (product MOD09GA) acquired by NASA's Moderate Resolution Imaging Spectroradiometer (MODIS).
Painter, Thomas H, Rittger, Karl, McKenzie, Ceretha, Slaughter, Peter, Davis, Robert E, Dozier, Jeff   +5 more
openaire   +3 more sources

Deriving Snow Cover Metrics for Alaska from MODIS

Remote Sensing, 2015
Moderate Resolution Imaging Spectroradiometer (MODIS) daily snow cover products provide an opportunity for determining snow onset and melt dates across broad geographic regions; however, cloud cover and polar darkness are limiting factors at higher ...
Chuck Lindsay, Jiang Zhu, Amy E. Miller, Peter Kirchner, Tammy L. Wilson   +4 more
doaj   +1 more source

Multiscale assimilation of Advanced Microwave Scanning Radiometer-EOS snow water equivalent and Moderate Resolution Imaging Spectroradiometer snow cover fraction observations in northern Colorado [PDF]

, 2012
Eight years (2002–2010) of Advanced Microwave Scanning Radiometer–EOS (AMSR-E) snow water equivalent (SWE) retrievals and Moderate Resolution Imaging Spectroradiometer (MODIS) snow cover fraction (SCF) observations are assimilated separately or jointly ...
Arsenault, Kristi R, De Lannoy, Gabriëlle, Houser, Paul R, Kumar, Sujay, Pauwels, Valentijn, Reichle, Rolf, Verhoest, Niko   +6 more
core   +2 more sources

Reducing cloud obscuration of MODIS snow cover area products by combining spatio-temporal techniques with a probability of snow approach

, 2013
. Satellite remote sensing can be used to investigate spatially distributed hydrological states for use in modeling, assessment, and management. However, in the visual wavelengths, cloud cover can often obscure significant portions of the images.
V. Lopez-Burgos, H. Gupta, M. Clark
semanticscholar   +1 more source

MODIS: Moderate Resolution Imaging Spectrometer [PDF]

, 2002
This brochure describes the Moderate Resolution Imaging Spectrometer (MODIS) instrument on NASA's Terra satellite. The first NASA Earth Observing System (EOS) satellite, Terra, was launched on December 18, 1999, carrying five remote sensors.

core   +1 more source