Bidirectional anisotropic reflectance of snow and sea ice in AVHRR channel 1 and channel 2 spectral regions. II. Correction applied to imagery of snow on sea ice

Jin, Zhonghai; Simpson, Joseph

doi:10.1109/36.841981

Cited by 10 publications

(2 citation statements)

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“…Other sources of uncertainty are the specific sensor limitations like bidirectional reflectance effects, cloud cover, frequency of observation and other sources of grain size increase. The influence of surface roughness on the bidirectional reflectance of snow for viewing geometries over rough terrain are mostly negligible for near-nadir but not for off-nadir sensors [89][90][91]. Thus, a comparison between a series of images needs to account for time of collection.…”

Section: Discussionmentioning

confidence: 99%

“…Without in situ grain size measurements and calibrations, we observed the changes on NIR reflectance after precipitation as the most significant response to rain or snow, suggesting the changes in grain size from metamorphism. The influence of surface roughness on the bidirectional reflectance of snow for viewing geometries over rough terrain are mostly negligible for near-nadir but not for off-nadir sensors [89][90][91], Thus a comparison between a series of images needs to account for time of collection. Only the surface snow metamorphism is observable by remote sensing and new snow will reset the observable metamorphism.…”

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confidence: 99%

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Exploring the Fingerprints of Past Rain-on-Snow Events in a Central Andean Mountain Range Basin Using Satellite Imagery

Melgar

Meza

2020

Remote Sensing

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Rain-on-snow (ROS) events can alter nival regimes and increase snowmelt, peak river flow, and reduce water storage. However, detection of ROS events is challenging and only the most intense and obvious cases are identified. Rain is known to reduce snow cover and decrease near-infrared reflectance due to increased grain size. This study explored the fingerprints of ROS events on mountain snowpack with a simple typology that classifies changes in snow reflectance using fifteen years of MODIS imagery, reanalysis, and surface hydrometeorological data. The Maipo River Basin, with strong nival regime and a steep topography, in the western Andean mountain range was selected as a case study. Statistical analysis showed two distinct and opposite responses in the near infrared reflectance distribution of snow-covered pixels after precipitation, consistent with the typology for rain or snow events. For the probable ROS events, the daily maximum and minimum temperature increased in the days preceding the event and subsequently decreased, in some cases followed by a less consistent response in river flow. Although much remains to be studied, this approach can be used to expand historical records and improve modelling and detection schemes.

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Section: Discussionmentioning

confidence: 99%

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confidence: 99%