Operational algorithm for ice–water classification on dual-polarized RADARSAT-2 images

Figure 1 shows the average surface refl ectance of sea ice covered by a 1 - 2 cm snow layer, normal- ized under-ice irradiance directly below the sea ice and normalized

The sea ice surface is much lighter than open water surfaces so that a good deal of the sun’s radiation is reflected by snow on the sea ice.. Thus the ice helps protect the

Based on comparison with the OIB sea ice freeboards, snow depth, and thickness quick look data over Arctic sea ice in March 2014, we found that the retracking points should be fixed

Density distribution of HH intensity in dB and three selected GLCM texture features with IA for OW training data selected from three different images (Image IDs: C113, 6346, D4FB)..

The increasing number of sea-ice related satellite observations in the Arctic can be used to improve the model predictions through data assimilation.. For sea ice, sea-ice

The study com- bines in situ broadband albedo measurements representative of the four main surface types (bare ice, dark melt ponds, bright melt ponds and open water) and

Figure 5 shows the reflection coefficient calculated using OASES for the water-ice interface with 2 m smooth sea-ice (Case b in Table III) and for a sea-ice layer with 0.6 m

Depend on the ice coverage and sea state water and sediment samples will