As shown in Table 1, images acquired by the two sensors have slightly different pixel size. This is not expected to influence significantly the segmentation, especially over dense urban areas. Misclassification of small agglomerates and/or isolated structures can occur using ERS-1 images. However, the impact of these areas on the calculation of the percentage of soil sealing, which is the parameter of interest for hydrological modeling, is expected to be negligible (see Table 9). This analysis was performed at the sub-catchment scale, in order to identify the areas of the basin which, in time, were most affected by the land use change.

Table 9

Percentage of built-up area for each sub-basin in 1995 and 2016

Basin/sub-basinTotal area1995
2016
NamePixelImpervious area (Pixel)Built-up area (%)Impervious area (Pixel)Built-up area (%)
Sarno 736,237 54,494 7.40 91,123 12.38 
Calvagnola 71,087 7105 9.99 9203 12.95 
Sarno Mouth 300,314 31,638 10.53 55,320 18.42 
Solofrana 364,836 15,751 4.32 26,600 7.29 
Basin/sub-basinTotal area1995
2016
NamePixelImpervious area (Pixel)Built-up area (%)Impervious area (Pixel)Built-up area (%)
Sarno 736,237 54,494 7.40 91,123 12.38 
Calvagnola 71,087 7105 9.99 9203 12.95 
Sarno Mouth 300,314 31,638 10.53 55,320 18.42 
Solofrana 364,836 15,751 4.32 26,600 7.29 

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