Ranged Segmentation of Slope Model for Spatial Analysis

The current international scenario, in line with the Sustainable Development Goals (SDGs) of the 2030 Agenda of all UN member states, motivates to greater attention of the scientific community on “Sustainable Consumption and Production” (SDG 12); with particular focus to degraded areas and economic activities with the most significant environmental impact, in this context are found the quarries, which are a typical element of our anthropized territorial reality - especially in Europe - and, at the same time, represent critical environmental and safety issues, leading to the need for preventive monitoring and control activities. To achieve these aims, digital techniques of integrated survey and classification of data, can help to quantify and assess the spatial morphology and characteristics of the anthropogenic environment in time function, defining a study methodology based on open-source mapping for multidisciplinary environments, here tested on a prototype area in the region of Galicia, Spain. The analysis of open LiDAR data, starting from RGB and NIR values in the clouds referred to different time periods, enabled the extraction of precise altimetric data useful to define a DEM and, from it, generate maps of slopes, hydrographic flow, contour lines, which, together with the mapping of structural elements such as roads and embankments allow us to analyze the critical changes caused by earth movements. The methodology for data manipulation and analysis used enriches informative multidisciplinary databases, valuable for supporting the environmental monitoring and transformability goals of the Agenda 2030.KeywordsSurveyLiDAR dataRanged segmentationModel analysisTransformation assessment