Nasa Snowex'17 in SITU Measurements and Ground-Based Remote Sensing

Brucker, Ludovic; Hiemstra, Christopher A.; Marshall, Hans‐Peter; Elder, Kelly; Roo, R.D. De; Mousavi, Mohammad; Bliven, Francis; Peterson, Walt; Deems, J. S.; Gadomski, P. J.; Gelvin, A.; Spaete, L.; Barnhart, T. B.; Brandt, T.; Burkhart, John F.; Crawford, Christopher; Datta, Tri; Erikstrod, Havard; Glenn, Nancy F.; Hale, K.; Holben, B. N.; Houser, Paul R.; Jennings, K. S.; Kelly, Richard; Kraft, J.; Langlois, Alexandre; McGrath, D.; Merriman, Chelsea; Molotch, N. P.; Nolin, A. W.; Polashenski, Chris; Raleigh, M. S.; Rittger, Karl; Rodriguez, Chago; Roy, Alexandre; Skiles, M.; Small, E. E.; Tedesco, Marco; Tennant, Chris; Thompson, Aaron; Uhlmann, Zach; Webb, Ryan; Wingo, Matt

doi:10.1109/igarss.2018.8517777

Cited by 3 publications

(5 citation statements)

References 2 publications

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“…This is one of NASA's Snow Experiment (SnowEx) primary field sites, where an intense field campaign was conducted in February 2017, hereafter referred to as SnowEx'17. SnowEx's primary goal is to enable development and/or systematic evaluation of alternative snow remote-sensing technologies methods and retrieval algorithms using extensive in-situ measurements [42,43].…”

Section: Study Regionsmentioning

confidence: 99%

“…canopy evergreen forest with deciduous forest in adjacent slopes [42,43]. SNOTEL stations (automated system of SNow and climate sensors with TELemetry) are located within and close to the Grand Mesa region.…”

Section: Study Regionsmentioning

confidence: 99%

“…The Swiss Alps site is characterized by steep complex topography in the 800-3000 m elevation range and heterogeneous land cover including barren land, grassland, deciduous forests, urban areas, and lakes. In contrast, Grand Mesa is characterized by elevated flat terrain with complex land cover ( Figure 3) including grassland, shrubs, and meadows of closed canopy evergreen forest with deciduous forest in adjacent slopes [42,43]. SNOTEL stations (automated system of SNow and climate sensors with TELemetry) are located within and close to the Grand Mesa region.…”

Section: Study Regionsmentioning

confidence: 99%

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Parsing Synthetic Aperture Radar Measurements of Snow in Complex Terrain: Scaling Behaviour and Sensitivity to Snow Wetness and Landcover

Manickam

Barros

2020

Remote Sensing

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This study investigates the spatial signatures of seasonal snow in Synthetic Aperture Radar (SAR) observations at different spatial scales and for different physiographic regions. Sentinel-1 C-band (SAR) backscattering coefficients (BSC) were analyzed in the Swiss Alps (SA), in high elevation forest and grasslands in Grand Mesa (GM), Colorado, and in North Dakota (ND) croplands. GM BSC exhibit 10 dB sensitivity to wetness at small scales (~100 m) over homogeneous grassland. Sensitivity decreases to 5 dB in the presence of trees, and it is demonstrated that VH BSC sensitivity enables wet snow mapping below the tree-line. Area-variance scaling relationships show minima at ~100 m and 150–250 m, respectively, in barren and grasslands in SA and GM, increasing up to 1 km and longer in GM forests and ND agricultural fields. The spatial organization of BSC (as described by 1D-directional BSC wavelength spectra) exhibits multi-scaling behavior in the 100–1000 m range with a break at (180–360 m) that is also present in UAVSAR L-band measurements in GM. Spectral slopes in GM forested areas steepen during accumulation and flatten in the melting season with mirror behavior for grasslands reflecting changes in scattering mechanisms with snow depth and wetness, and vegetation mass and structure. Overall, this study reveals persistent patterns of SAR scattering variability spatially organized by land-cover, topography and regional winds with large inter-annual variability tied to precipitation. This dynamic scaling behavior emerges as an integral physical expression of snowpack variability that can be used to model sub-km scales and for downscaling applications.

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Section: Study Regionsmentioning

confidence: 99%

Section: Study Regionsmentioning

confidence: 99%

Section: Study Regionsmentioning

confidence: 99%

See 1 more Smart Citation

Parsing Synthetic Aperture Radar Measurements of Snow in Complex Terrain: Scaling Behaviour and Sensitivity to Snow Wetness and Landcover

Manickam

Barros

2020

Remote Sensing

View full text Add to dashboard Cite

show abstract

“…This is one of NASA's Snow Experiment (SnowEx) primary field sites, where an intense field campaign was conducted in February 2017, hereafter referred to as SnowEx'17. SnowEx's primary goal is to enable development and, or systematic evaluation of alternative snow remote-sensing technologies, methods and retrieval algorithms using extensive in-situ measurements [38,39].…”

Section: Study Regionsmentioning

confidence: 99%

Section: Study Regionsmentioning

confidence: 99%

Parsing Synthetic Aperture Radar Measurements of Snow in Complex Terrain: Scaling Behaviour and Sensitivity to Snow Wetness and Landcover

Manickam

Barros

2020

Preprint

View full text Add to dashboard Cite

This study investigates the spatial signatures of seasonal snow in Synthetic Aperture Radar (SAR) observations at different spatial scales and for different physiographic regions. Sentinel-1 C-band (SAR) backscattering coefficients (BSC) were analyzed in the Swiss Alps (SA), in high elevation forest and grasslands in Grand Mesa (GM), Colorado, and in North Dakota (ND) croplands. GM BSC exhibit 10dB sensitivity to wetness at small scales (~100 m) over homogeneous grassland. Sensitivity decreases to 5 dB in the presence of trees, and it is demonstrated that VH BSC sensitivity enables wet snow mapping below the tree-line. Area-variance scaling relationships show minima at ~100 m and 150-250 m respectively in barren and grasslands in SA and GM, increasing up to 1 km and longer in GM forests and ND agricultural fields. The spatial organization of BSC (as described by 1D-directional BSC wavelength spectra) exhibits multi-scaling behavior in the 100 -1,000 m range with a break at (180-360 m) that is also present in UAVSAR L-band measurements in GM. Spectral slopes in GM forested areas steepen during accumulation and flatten in the melting season with mirror behavior for grasslands reflecting changes in scattering mechanisms with snow depth and wetness, and vegetation mass and structure. Overall, this study reveals persistent patterns of SAR scattering variability spatially organized by land-cover, topography and regional winds with large inter-annual variability tied to precipitation. This dynamic scaling behavior emerges as an integral physical expression of snowpack variability that can be used to model sub-km scales and for downscaling applications.

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How Strong is Snow? Spatial Correlations of Snowpack Microparameters on Grand Mesa, Colorado from Nasa Snowex Snowmicropen Data

Tedesche,

Meyer,

Vecherin

et al. 2024

Preprint

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Nasa Snowex'17 in SITU Measurements and Ground-Based Remote Sensing

Cited by 3 publications

References 2 publications

Parsing Synthetic Aperture Radar Measurements of Snow in Complex Terrain: Scaling Behaviour and Sensitivity to Snow Wetness and Landcover

Parsing Synthetic Aperture Radar Measurements of Snow in Complex Terrain: Scaling Behaviour and Sensitivity to Snow Wetness and Landcover

Parsing Synthetic Aperture Radar Measurements of Snow in Complex Terrain: Scaling Behaviour and Sensitivity to Snow Wetness and Landcover

How Strong is Snow? Spatial Correlations of Snowpack Microparameters on Grand Mesa, Colorado from Nasa Snowex Snowmicropen Data

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