Remote sensing based retrieval of snow cover properties

Schaffhauser, Andreas; Adams, Marc; Fromm, Reinhard; Jörg, P.; Luzi, G.; Noferini, L.; Sailer, Rudolf

doi:10.1016/j.coldregions.2008.07.007

Cited by 71 publications

(41 citation statements)

References 11 publications

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“…3) were generated using a long range TLS (Riegl LPM-321), which enables safe acquisition of SD information with short acquisition times from remote areas, compared with measurements obtained manually. This technique has been extensively tested Revuelto et al, 2014;Schaffhauser et al, 2008), and systematically applied to the study of snow distribution in mountain terrain (Egli et al, 2012;Grünewald et al, 2010;Mott et al, 2013;. In a previous study, the mean absolute error in the most distant areas of the catchment was less than 10 cm (Revuelto et al, 2014), which is consistent with errors reported in previous studies (Grünewald et al, 2010;Prokop, 2008;Prokop et al, 2008;Schaffhauser et al, 2008).…”

Section: Snow Depth Measurementssupporting

confidence: 77%

Topographic control of snowpack distribution in a small catchment in the central Spanish Pyrenees: intra- and inter-annual persistence

et al. 2014

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Abstract. In this study we analyzed the relations between terrain characteristics and snow depth distribution in a small alpine catchment located in the central Spanish Pyrenees. Twelve field campaigns were conducted during 2012 and 2013, which were years characterized by very different climatic conditions. Snow depth was measured using a long range terrestrial laser scanner and analyses were performed at a spatial resolution of 5 m. Pearson's r correlation, multiple linear regressions (MLRs) and binary regression trees (BRTs) were used to analyze the influence of topography on the snow depth distribution. The analyses were used to identify the topographic variables that best explain the snow distribution in this catchment, and to assess whether their contributions were variable over intra-and interannual timescales. The topographic position index (index that compares the relative elevation of each cell in a digital elevation model to the mean elevation of a specified neighborhood around that cell with a specific shape and searching distance), which has rarely been used in these types of studies, most accurately explained the distribution of snow. The good capability of the topographic position index (TPI) to predict snow distribution has been observed in both, MLRs and BRTs for all analyzed days. Other variables affecting the snow depth distribution included the maximum upwind slope, elevation and northing. The models developed to predict snow distribution in the basin for each of the 12 survey days were similar in terms of the explanatory variables. However, the variance explained by the overall model and by each topographic variable, especially those making a lesser contribution, differed markedly between a year in which snow was abundant (2013) and a year when snow was scarce (2012), and also differed between surveys in which snow accumulation or melting conditions dominated in the preceding days. The total variance explained by the models clearly decreased for those days on which the snowpack was thinner and more patchily. Despite the differences in climatic conditions in the 2012 and 2013 snow seasons, similarities in snow distributions patterns were observed which are directly related to terrain topographic characteristics.

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Section: Snow Depth Measurementssupporting

confidence: 77%

Topographic control of snowpack distribution in a small catchment in the central Spanish Pyrenees: intra- and inter-annual persistence

et al. 2014

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“…There is a growing interest in remote monitoring techniques in the study of the cryosphere, particularly in snow avalanche hazard regions, because of their inaccessibility and complications caused by these regions for traditional observation. Long-range (up to 2,500 m) laser scanners are usually preferred for this purpose [11,12]. In comparison of methods of snow depth determination for snowpack and snowdrift models, TLS has been found to be a quick means of getting high-point density data, having major advantages over manual probing, which is often time consuming and dangerous [13].…”

Section: Open Accessmentioning

confidence: 99%

Radiometric Calibration of Terrestrial Laser Scanners with External Reference Targets

et al. 2009

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Abstract:The intensity data produced by terrestrial laser scanners has become a topic of increasing interest in the remote sensing community. We present a case study of radiometric calibration for two phase-shift continuous wave (CW) terrestrial scanners and discuss some major issues in correcting and applying the intensity data, and a practical calibration scheme based on external reference targets. There are differences in the operation of detectors of different (although similar type) instruments, and the detector effects must be known in order to calibrate the intensity data into values representing the target reflectance. It is, therefore, important that the effects of distance and target reflectance on the recorded intensity are carefully studied before using the intensity data from any terrestrial laser scanner.

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“…Igualmente radares GBSAR (Ground Based interferometric Synthetic Aperture Radar) permiten obtener mediciones directas del espesor del manto de nieve, si bien para calcular el SWE necesitan ser complementadas con otras técnicas como el TLS para obtener las condiciones iniciales del manto de nieve (Schaffhauser et al, 2008). Los datos generados por los TLS tienen mejor resolución espacial además de ser equipos más manejables en campo, por lo que su uso está más generalizado que el de los GBSAR.…”

Section: Introductionunclassified

Utilización de técnicas de láser escáner terrestre en la monitorización de procesos geomorfológicos dinámicos: el manto de nieve y heleros en áreas de montaña

Revuelto

López‐Moreno

Azorín-Molina

et al. 2013

CIG

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Remote sensing based retrieval of snow cover properties

Cited by 71 publications

References 11 publications

Topographic control of snowpack distribution in a small catchment in the central Spanish Pyrenees: intra- and inter-annual persistence

Topographic control of snowpack distribution in a small catchment in the central Spanish Pyrenees: intra- and inter-annual persistence

Radiometric Calibration of Terrestrial Laser Scanners with External Reference Targets

Utilización de técnicas de láser escáner terrestre en la monitorización de procesos geomorfológicos dinámicos: el manto de nieve y heleros en áreas de montaña

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