**3.2 Initial processing of data**

Initial processing of Sentinel-2A imagery includes resampling the 20 m bands to 10 m, clipping the scene to the boundaries of Area Of Interest (AOI) and concatenating the spectral bands to produce a single stacked image.

*Delineation of Open-Pit Mining Boundaries on Multispectral Imagery DOI: http://dx.doi.org/10.5772/intechopen.94120*

**Figure 2.** *Methodological framework.*

#### **3.3 Image segmentation**

The stacked image was used as input for image segmentation. For the purpose of this study, Mean-Shift segmentation algorithm was implemented. It is a nonparametric clustering approach that is widely utilized in image analysis [27]. Mean-Shift segmentation algorithm has depicted adequate results regarding object extraction [28, 29]. It can handle different remote sensing satellite data, for instance, medium or high spatial resolution images. Critical factors that are related to its popularity are the simplicity of filtering step, the multivariate nature and the

#### *Remote Sensing*

existence of various implementations [30]. The vector output of segmentation and the selected parameter values of Mean-Shift algorithm are presented in **Figure 3**.

As shown in **Figure 3**, range radius and minimum region size parameter values were increased drastically compared to default values. This is necessary in order not to confuse mine areas with different land-cover types and not to have a large number of segments, so that they are manageable.
