InSAR for estimation of changes in snow water equivalent of dry snow

Guneriussen, T.; Høgda, Kjell Arild; Johnsen, Harald; Lauknes, I.

doi:10.1109/36.957273

Cited by 167 publications

(90 citation statements)

References 12 publications

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“…During the past decades, spaceborne SAR interferometry has been successfully used to measure millimeter-to meter-level deformation on the surface due to earthquakes, landslides, glacier movements, and displacement on Earth's surface [9][10][11], and the data have been used extensively to map snow cover, temporal snowpack conditions, and snow evolution, perform coherence analysis, and estimate snow depth and SWE [12][13][14][15][16][17].…”

Section: Journal Of Sensorsmentioning

confidence: 99%

Estimating Snow Depth and Snow Water Equivalence Using Repeat-Pass Interferometric SAR in the Northern Piedmont Region of the Tianshan Mountains

Zuo

et al. 2017

Journal of Sensors

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Snow depth and Snow Water Equivalence (SWE) are important parameters for hydrological applications. In this application, a theoretical method of snow depth estimation with repeat-pass InSAR measurements was proposed, and a preliminary sensitivity analysis of snow phase changes versus the incident angle and snow density was developed. Moreover, the snow density and incident angle parameters were analyzed and calibrated, and the local incident angle was used as a substitute for the satellite incident angle to improve the snow depth estimation. From the results, the coherence images showed that a high degree of coherence can be found for dry snow, and, apart from the effect of snow, land use/cover change due to a long temporal baseline and geometric distortion due to the rugged terrain were the main constraints for InSAR technique to measure snow depth and SWE in this area. The result of snow depth estimation between July 2008 and February 2009 demonstrated that the average snow depth was about 20 cm, which was consistent with the field survey results. The areal coverage of snow distribution estimated from the snow depth and SWE results was consistent with snow cover obtained from HJ-1A CCD optical data at the same time.

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Section: Journal Of Sensorsmentioning

confidence: 99%

Estimating Snow Depth and Snow Water Equivalence Using Repeat-Pass Interferometric SAR in the Northern Piedmont Region of the Tianshan Mountains

Zuo

et al. 2017

Journal of Sensors

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“…También existen trabajos en los que se estima el SWE a partir de imágenes InSAR (Rott et al, 2004), con limitaciones debidas a la redistribución de la nieve y aplicable únicamente en zonas llanas. Las ventanas espaciales cubiertas por los sensores situados en aviones o satélites no son equiparables a las áreas cubiertas por los TLS, si bien la resolución alcanzada por esta última es notablemente superior al compararla con los 500 m de resolución que se obtiene de los satélites Terra y Aqua (Parajka y Blöschl, 2008) o los 30 m de los sensores TM de Landsat (Guneriussen et al, 2001). Otro inconveniente de la utilización de teledetección a larga distancia es la necesidad de corrección de la reflectancia en cada pixel; debido a efectos de sombras originados por el terreno, así cómo la diferenciación de tipos de terreno en un mismo pixel (Rosenthal y Dozzier, 1996).…”

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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“…Active microwave sensing is a relatively new method of directly measuring SWE through interferometric methods using a Synthetic Aperture Radar (SAR) [73]. This is similar to GPR, and indeed, inherits the same limitations, but adds the limitations of measuring from a satellite.…”

Section: Active Microwave Sensingmentioning

confidence: 99%

Soil Moisture & Snow Properties Determination with GNSS in Alpine Environments: Challenges, Status, and Perspectives

et al. 2013

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Moisture content in the soil and snow in the alpine environment is an important factor, not only for environmentally oriented research, but also for decision making in agriculture and hazard management. Current observation techniques quantifying soil moisture or characterizing a snow pack often require dedicated instrumentation that measures either at point scale or at very large (satellite pixel) scale. Given the heterogeneity of both snow cover and soil moisture in alpine terrain, observations of the spatial distribution of moisture and snow-cover are lacking at spatial scales relevant for alpine hydrometeorology. This paper provides an overview of the challenges and status of the determination of soil moisture and snow properties in alpine environments. Current measurement techniques and newly proposed ones, based on the reception of reflected Global Navigation Satellite Signals (i.e., GNSS Reflectometry or GNSS-R), or the use of laser scanning are reviewed, and the perspectives offered by these new techniques to fill the current gap in the instrumentation level are discussed. Some key enabling technologies OPEN ACCESSRemote Sens. 2013, 5 3517 including the availability of modernized GNSS signals and GNSS array beamforming techniques are also considered and discussed.

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InSAR for estimation of changes in snow water equivalent of dry snow

Cited by 167 publications

References 12 publications

Estimating Snow Depth and Snow Water Equivalence Using Repeat-Pass Interferometric SAR in the Northern Piedmont Region of the Tianshan Mountains

Estimating Snow Depth and Snow Water Equivalence Using Repeat-Pass Interferometric SAR in the Northern Piedmont Region of the Tianshan Mountains

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

Soil Moisture & Snow Properties Determination with GNSS in Alpine Environments: Challenges, Status, and Perspectives

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