A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Filters
Snow Property Inversion From Remote Sensing (SPIReS): A Generalized Multispectral Unmixing Approach With Examples From MODIS and Landsat 8 OLI
2020
IEEE Transactions on Geoscience and Remote Sensing
Preserved Fulltext
We present the Snow Property Inversion from Remote Sensing (SPIReS) approach, offering the following improvements: 1) Solutions for grain size and concentrations of light absorbing particles are computed ...
of snow and estimates of fractional snow cover. ...
ACKNOWLEDGMENT We appreciate insightful, timely comments from two reviewers and the editor. ...
doi:10.1109/tgrs.2020.3040328
fatcat:aubtcai4i5b6dbmbnr3lubx24q
Retrieval of subpixel snow covered area, grain size, and albedo from MODIS
2009
Remote Sensing of Environment
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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 ...
We validate the model with fractional snow cover estimates from Landsat Thematic Mapper data, at 30 m resolution, for the Sierra Nevada, Rocky Mountains, high plains of Colorado, and Himalaya. ...
Grain size has also been mapped over Antarctica using a normalized difference approach between the MODIS band 1 (620-670 nm) and MODIS Band 2 (841-876) radiances from pure snow pixels (Scambos et al., ...
doi:10.1016/j.rse.2009.01.001
fatcat:wc5m3lb3rrcsnid4fpgjq3wvk4
Remote sensing of the cryosphere in high mountain ASIA
2017
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The region's hydrology is strongly controlled by variations in the timing and distribution of runoff from snow and glacier melt. ...
High Mountain Asia (HMA), often referred to as the "third pole" of the world because its high elevation glaciers, contains the largest amount of fresh water outside the polar ice sheets. ...
cover [14] and the associated snow grain size, from which we can map to snow albedo. ...
doi:10.1109/igarss.2017.8127583
dblp:conf/igarss/OsmanogluPSAKM17
fatcat:yvmsybbisvf2xah7ycfg756qti
Snow-Covered Area Retrieval from Himawari–8 AHI Imagery of the Tibetan Plateau
2019
Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Daily snow-covered area retrieval using the imagery in solar reflective bands often encounters extensive data gaps caused by cloud obscuration. ...
(27%) from the combination of Moderate Resolution Imaging Spectroradiometer (MODIS) onboard Terra and Aqua. ...
Among the widely used fractional snow cover products, the MODIS daily snow cover products, including NASA's MOD10 suite and MODIS Snow-Covered Area and Grain size (MODSCAG), are reported to be highly accurate ...
doi:10.3390/rs11202391
fatcat:uwefhbaxbrgfbc63ohg74bdxsq
Remote sensing for snow hydrology in China: challenges and perspectives
2014
Journal of Applied Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
The 30-year achievements of research in different aspects of snow remote sensing in China, especially in (1) methods of retrieving snow cover, snow depth/snow water equivalent, and grain size and (2) applications ...
Over the past 30 years, the field of snow remote sensing has grown dramatically in China. ...
Hao et al. 84 retrieved snow grain size using three methods applied to HYPERION data over Qilian Mountain, China. ...
doi:10.1117/1.jrs.8.084687
fatcat:mncxhhtl25etbj3t5sefxhb5dq
Detecting Snowfall Events over Mountainous Areas Using Optical Imagery
2018
Water
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The proposed methodology is based on identifying expanded snow cover or suddenly declined snow grain size using time series images, from which it is possible to detect the location and time of snowfall ...
We present a method for detecting snowfall events from optical satellite data for seasonal snow in mountainous areas. ...
Estimating Snow Grain Size The snow grain size and pollution amount (SGSP) algorithm was adopted to estimate the snow grain size [25, 26] . ...
doi:10.3390/w10111514
fatcat:btilyov22zftpk3vn4ukq66ccu
Snow Grain-Size Estimation Using Hyperion Imagery in a Typical Area of the Heihe River Basin, China
2013
Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The locations of the absorption valley moved 1-4 bands from band 89 to shorter wavelengths. The accuracy of the snow grain size estimates based on the Hyperion imagery was relatively high. ...
The bands near 1033 nm were sensitive to the snow grain size. According to the relationship between the snow grain size and the measured spectrum, we built a snow grain-size estimation model. ...
and Oceanographic Sciences, Nanjing University, for their help in the collection and observation of the snow data and Hyperion data. ...
doi:10.3390/rs5010238
fatcat:a2msypogobhsxfxms4mzi4bi5e
Cloud Masking for Landsat 8 and MODIS Terra over Snow‐Covered Terrain: Error Analysis and Spectral Similarity between Snow and Cloud
2019
Water Resources Research
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
This study assesses errors in these cloud masks over snow-covered, midlatitude mountains. ...
Automated, reliable cloud masks over snow-covered terrain would improve the retrieval of snow properties from multispectral satellite sensors. The U.S. ...
We appreciate the comments from three anonymous referees and the Associate Editor. ...
doi:10.1029/2019wr024932
pmid:32025064
pmcid:PMC6988483
fatcat:sllncn42orfg3lnu5bsiq7hx3u
Assessment of methods for mapping snow cover from MODIS
2013
Advances in Water Resources
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2012; you can also visit the original URL.
The file type is application/pdf.
Assessment of methods for mapping snow cover from MODIS. Adv Water Resour (2012), http://dx. ...
Determining the fractional value is particularly important during spring and summer melt in mountainous terrain, where large variations in snow, vegetation and soil occur over small distances and when ...
In addition to simply mapping fractional snow cover, the MODSCAG (MODIS Snow Covered-Area and Grain size retrieval) algorithm uses a range of endmembers in the spectral mixing to estimate the grain size ...
doi:10.1016/j.advwatres.2012.03.002
fatcat:tepqvssocbhntflczzcelzqodq
MULTISPECTRAL AND HYPERSPECTRAL REMOTE SENSING OF ALPINE SNOW PROPERTIES
2004
Annual Review of Earth and Planetary Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2009; you can also visit the original URL.
The file type is application/pdf.
From multispectral and hyperspectral remote sensing at wavelengths from 0.4-15 µm, the retrievable properties include snow-covered area, albedo, grain size, liquid water very near the surface, and temperature ...
At a spatial scale commensurate with that of the terrain, we want to know which areas are covered by snow, and we want to estimate the snow's spectral albedo, along with other properties such as grain ...
Fily et al. (1997) estimated grain size from TM data over the Haute Savoie region of the French Alps using a model for the bidirectional reflectance of snow. ...
doi:10.1146/annurev.earth.32.101802.120404
fatcat:ahnoui4kbbddfpahiivu6ujyge
Prevalence of Pure Versus Mixed Snow Cover Pixels across Spatial Resolutions in Alpine Environments
2014
Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2015; you can also visit the original URL.
The file type is application/pdf.
SCA maps derived from high spatial resolution imagery aggregated to fractional SCA at coarser spatial resolutions. ...
We quantified the frequency of occurrence of partially snow-covered (mixed) pixels at spatial resolutions between 1 m and 500 m over five dates at two study areas in the western U.S., using 0.5 m binary ...
Fractional SCA mapping extracts more information than binary SCA mapping from the same source dataset and, for the MODIS instrument, 500 m fSCA from the MODIS Snow-Covered Area and Grain Size (MODSCAG) ...
doi:10.3390/rs61212478
fatcat:gfihmyfjnffa3adfezijfoggre
Estimating the spatial distribution of snow water equivalent in the world's mountains
2016
WIREs Water
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Several methods can estimate the amount of snow throughout a mountain range: (1) Spatial interpolation from surface sensors constrained by remotely sensed snow extent provides a consistent answer, with ...
Estimating the spatial distribution of snow water equivalent (SWE) in mountainous terrain is currently the most important unsolved problem in snow hydrology. ...
The same sensors (Landsat, MODIS, etc.) used to measure snow covered area also allow snow albedo to be estimated. ...
doi:10.1002/wat2.1140
fatcat:t6sj332gkrb7tprxxvrc3zhrdy
Surface melt magnitude retrieval over Ross Ice Shelf, Antarctica using coupled MODIS near-IR and thermal satellite measurements
2009
The Cryosphere Discussions
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2011; you can also visit the original URL.
The file type is application/pdf.
An algorithm was developed to retrieve surface melt magnitude using coupled near-IR/thermal surface measurements from MODIS were calibrated by estimates of liquid water fraction (LWF) in the upper 1 cm ...
December to areas along the coast with as much as 1% LWF during the time of peak surface melt. ...
Several have examined the strong relationship between snow spectral reflectance and grain-size, and modeled snow reflectance from the optical properties of snow and ice (Bohren and Barkstrom, 1974; Wiscombe ...
doi:10.5194/tcd-3-1069-2009
fatcat:4cnvlsu5rrhlxky2xq5fvyk6xm
Fractional Snow Cover Mapping from FY-2 VISSR Imagery of China
2017
Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Hence, a regional or global snow-covered area (SCA) can be accurately estimated from optical imagery. ...
as well, e.g., the MODIS Snow-Covered Area and Grain size (MODSCAG) algorithm, which is considered to be more accurate than the NDSI method [16] [17] [18] [19] . ...
Subsequently, the location-independent snow reflectance, which decreases proportionally to the square root of the grain size (ranging from 0.1 to 1 mm), was determined empirically from wintertime GOES ...
doi:10.3390/rs9100983
fatcat:iknukno33vhjrg7drz4hvvov2i
Evaluation of VIIRS and MODIS Snow Cover Fraction in High-Mountain Asia Using Landsat 8 OLI
2021
Frontiers in Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
We present the first application of the Snow Covered Area and Grain size model (SCAG) to the Visible Infrared imaging Radiometer Suite (VIIRS) and assess these retrievals with finer‐resolution fractional ...
Despite the resolution differences, the snow maps from both sensors produce similar total snow-covered areas and snow-line elevations in this region, with R2 values of 0.98 and 0.88, respectively. ...
ACKNOWLEDGMENTS We acknowledge data contributions from the Jet Propulsion Laboratory and continued support from NASA Terrestrial Hydrology for SCAG/DRFS products. ...
doi:10.3389/frsen.2021.647154
fatcat:kiqpmhhlxnfkdeadydolksmkg4
« Previous
Showing results 1 — 15 out of 632 results