D by differential motions parallel and regular for the boundary, respectively [37]. Finally, based on the assumption that these atmosphere and sea ice variables for a series from the earlier days would contribute for the formation of sea ice leads, the typical of those dynamic and thermodynamic variables as much as 30 successive days ahead of the DMS acquisition day were calculated (Table 4). By comparing these variables and the lead fractions, we hoped to identify the possible contribution of those explanatory variables to lead formation. A number of linear regression (MLR) was employed for modelling the mean lead fractions in terms of large-scale sea ice dynamic hermodynamic variables, such as the NSIDC sea ice motion information with four kinetic moments, ERA-5 air temperature, and wind velocity data. The forward and backward stepwise regression techniques have been utilized to recognize one of the most essential explanatory variables. This technique refers towards the process of creating a regression model by adding or removing explanatory variables in a stepwise manner till the predicted variable will not modify drastically [38].Remote Sens. 2021, 13,9 ofTable 4. Variables for the multiple linear regression models. Department Sea Ice Leads Rigosertib Inhibitor temperature Wind Factors mean_leads tmpXX U10_XX V10_XX wind_XX u_ice_XX v_ice_XX vel_ice_XX divXX vorXX shrXX stcXX Imply lead fraction for 25 km segment Averaged air temperature for last XX days (e.g., tmp03 implies typical temperature of last 1, two, 3 days) Averaged u-component of wind velocity for last XX days Averaged v-component of wind velocity for last XX days Averaged wind velocity for last XX days (e.g., wind_10 signifies wind velocity for last 10 days) Averaged u-component of ice velocity for final XX days (e.g., u_ice_10 signifies u-velocity for last 10 days) Averaged v-component of ice velocity for final XX days (e.g., v_ice_10 suggests v-velocity for final 10 days) Averaged ice velocity for last XX days (e.g., v_ice_10 indicates ice velocity for last 10 days) Averaged divergence of sea ice motion for final XX days (e.g., div10 means divergence for last ten days) Averaged vorticity of sea ice motion for last XX days (e.g., vor10 means vorticity for last 10 days) Averaged shearing deformation of sea ice motion for last XX days (e.g., shr10 means shearing deformation for final 10 days) Averaged stretching deformation of sea ice motion for final XX days (e.g., stc10 signifies stretching deformation for last 10 days) DescriptionSea Ice Motion4. Result and Discussion 4.1. Classification ResultA total of 106,674 DSM images along the Laxon Line from 2012018 had been processed, plus a total of 6135 images with sea ice leads were visually selected (Table 1). All images had been classified by means of the OSSP package integrated inside the ArcCI on the internet service [22]. Six classified Azido-PEG6-NHS ester site photos in 2012 are shown in Table 5. The initial row shows the classification outcomes for the subgroup of typical images, the second row for the medium images, and Remote x x PEER Review x Assessment Remote Sens. Sens. 13, 13, 13,PEER Assessment ten ten ten of 19 Remote Sens.Sens. 2021, Sens. 2021, PEERFOR PEER Critique Remote 2021, 13, x FOR FOR 13,PEER Overview ten ofof10 19 10 o of Remote2021, 2021,FOR FORREVIEW Sens. Remote Remote 2021, 2021, FOR x PEERPEERthird row for the poor pictures. All six photos have been chosen to show a assortment 10of of 19 of 19 Sens. 2021, 13, x FOR xx FOR the Review ten of 19 of 19 RemoteSens. Sens. 2021, x FOR PEER Critique Sens. 13, 13, PEER PEER Assessment of of19 19 sea Remote 2021, 13, x FOR PEER REVI.