The ability to improve on existing mosaicking workflows, specifically in the area of atmospheric correction, is one of the biggest benefits of using the Cloud Detection and Haze Removal module. For example, using haze-corrected imagery results in a more visually pleasing color-balanced mosaic. Having the clouds detected and removed automatically also results in the mosaic being cloud-free.
Local Color Balance Mask Layer
With the Local Color Balance Mask Layer parameter, you can specify whether to use a local bitmap or vector mask to remove unwanted pixels from the color-balancing procedure. With Last Vector selected, the module scans each input file for its last vector segment. Because the Cloud Detection and Haze Removal module was run most recently on the data, the last vector segment is the cloud mask. With Last Vector selected, mosaic preparation occurs by using the cloud mask for color-balancing avoidance. The Local Color Balance Mask Layer parameter always uses the most recent vector segment (or bitmap segment) as input. Therefore, if you create a new vector segment, the last created segment is used automatically for color-balancing correction.
Local Cutline Avoidance Mask Layer
With the Local Cutline Avoidance Mask Layer parameter, you can specify whether to use a local bitmap or vector mask to remove unwanted pixels from the cutline-creation procedure. By selecting Last Vector, the module scans each input file for its last vector segment. Because the Cloud Detection and Haze Removal module was run most recently on the data, the last vector segment is the cloud mask. With Last Vector selected, mosaic preparation occurs by using the cloud mask for cutline avoidance. The Local Cutline Avoidance Mask Layer parameter always uses the most recent vector segment (or bitmap segment) as input. Therefore, if you create a new vector segment, the last created segment is used automatically for color-balancing correction.
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