Sentence examples for classification of zones from inspiring English sources

The classification of zones prone to tsunami flooding is based on the results of tsunami inundation modeling performed in Section 4.1.

The initial (1989) Landsat 5 (3, 4, and 5 bands) and final (2005) SPOT 5 (1, 2, and 3 bands) satellite images of Tabriz city were subjected to a classification of zones.

To validate the full development cycle, an EPICS application has been developed implementing different algorithms frequently used in fusion applications such as histogram, detection of levels, and classification of zones within an image.

According to a traditional classification of zones, 28 provincial administrative regions included large populations belonging to the northern coastal zone, the northern inland zone, the southern coastal zone, and the southern inland zone, respectively.

To keep track of the roadsides, a multihypotheses approach of road recognition can be employed by using various classifications of zones of interest (representative of the road region in image).

A proposed classification of 51 zones, sub-zones, and sections of frozen ground has been widely adopted for the design and construction of foundations in the portion of the Corridor studied.

We defined the null hypothesis H0 to be: classification proportions of zones in the periphery in human PINs are as have high proportion significance as zones closest to the centre, i.e the accuracy of the sensing function are in zones closest to the centre and the accuracy of metabolic function are in zones in the periphery.

Table 5 Classification of soil zones along alignment route based on In- situ relative density Test points Chainage along alignment (km) Zone with loose surficial deposit (0.00-0.45 m Zones with loose deposits occurring up to 2.30 m depth Zones without loose deposit Test No. 1 Ch. 21+ 650 LHS X X   Test No. 2, Test No. 3, Test No. 4, Test No. 5, Test No. 6 Ch.

Open image in new window Fig. 7 Classification of traffic zones by number of attracted trips.

This would depend on classification of rainfall zones based on reliable rainfall data.

The maps generated have been validated and evaluated for checking the consistency in spatial classification of susceptibility zones using prediction rate curve, landslide density and error matrix methods.