Multispectral Characteristics of Glacier Surface Facies (Chandra-Bhaga Basin, Himalaya, and Ny-Ålesund, Svalbard) through Investigations of Pixel and Object-Based Mapping Using Variable Processing Routines

Fundamental image processing methods, such as atmospheric corrections and pansharpening, influence the signal of pixel. This morphs spectral signature target features causing a change in both final spectra way different mapping methods may assign thematic classes. In current study, we aim to identify variations induced by popular reflectance maps facies. To this end, have tested three corrections: (a) Quick Atmospheric Correction (QUAC), (b) Dark Object Subtraction (DOS), (c) Fast Line-of-Sight Analysis Hypercubes (FLAASH), two pansharpening methods: Hyperspherical Color Sharpening (HCS) Gram–Schmidt (GS). WorldView-2 WorldView-3 satellite images over Chandra-Bhaga Basin, Himalaya, Ny-Ålesund, Svalbard are via subsets traditional (BGRN1), unconventional (CYRN2), visible near-infrared (VNIR), complete available spectrum (VNIR_SWIR). Thematic was comparatively performed using 12 pixel-based (PBIA) algorithms 3 object-based (GEOBIA) rule sets. Thus, test impact varying routines, effectiveness specific bands, utility PBIA, versatility GEOBIA for Our findings suggest that routines exert an extreme on end reflectance. DOS delivers most reliable performance (overall accuracy = 0.64) averaged across all schemes. much higher when QUAC correction is employed if enhanced GS 0.79). SWIR bands not classification results VNIR band combination yields superior 0.59). The maximum likelihood classifier consistent 0.61) schemes can be used after without it deteriorates information. appears robust against modulations but pansharpening. When utilizing GEOBIA, find spatial object (rule set 3) best 0.86), rather than relying only 1) or 2) features. multiresolution segmentation parameters here transferable other very high resolution (VHR) facies yielded objects