###### Abstract  
In many countries in the world, the conservation of habitats is at risk mainly due to anthropic pressures on the environment. A study was conducted to assess the extent to which sensitive and high nature-value habitats are damaged by high-impact human activities. Some evaluation methods that are applied may not be entirely appropriate to the characteristics of the investigated areas or may be very accurate but provide results that are delayed with respect to the occurrence of the events that created the loss of their characteristics. The main purpose of this study is to optimise some methodologies for monitoring the impacts of human activities making it possible to obtain better results in less time and with much lower costs. This methodology has been applied in two different areas present in the _Puglia_ Region in south-eastern Italy, in the central Mediterranean area. The biotope fragmentation method was applied on coastal dunes, in the province of _Brindisi_, affected by an important tourist influx. The results of the inclusion, in the evaluation methodology, of the remote sensing of the paths indicate a more real situation on the state of fragmentation of the coastal dunes. The second methodology concerns the monitoring, through topographical profiles obtained from Sentinel-1 DEM images, of active and inactive mining sites, allowing to obtain of very detailed information on the progress of mining activities in a very short time. By implementing these methodologies, it is possible to improve the control of the territory allowing a more detailed analysis in order to safeguard the environment from impacting human activities and avoiding, as much as possible, the occurrence of illegal activities. Finally, compensation factors to ensure that human activities are conducted in a sustainable way are also evaluated. 2023 15  
the environment. Monitoring methodologies may relate to space monitoring and ground-instrumental monitoring [3; 4]. The key steps are data collection in the field or remotely. After data acquisition, there is data processing and data analysis [5]. Environmental sensors allow data collection. Distinguish the passive sensors, such as Photographic Cameras, Cross-Track Scanners, Along-Track Scanners, Video Cameras, Microwave Radiometers, and Active Sensors such as Radar, and LIDAR [6]. The new frontier, in the last decade, on the field is represented by unmanned aerial systems (UAS) [7; 8]. For the study of an area, the use of UAS is better adaptable in many situations by supplying high spatial detail in a cost-efficient way. Choosing between products from satellite imagery or UAS, there are several aspects to consider as autonomy, accessibility, scalability, legal regulation, weather condition, price, and data processing. For this study, LIDAR and satellite images were chosen due to the presence of high availability of images with high spatial and temporal resolution [9]. The described approach focuses on an area with intense agricultural activity, livestock farming, and fishing, with the presence of some mechanical, iron, and steel industries, mining activities concentrated in some areas, and tourism as the leading sector of the region. All these economic fields impacting on the ecosystems. The Italian Institute for Environmental Protection and Research (ISPRA) drew up the metrics for the determination of anthropic pressure [10; 11]. The metrics consider the polluting load, the impact of agricultural activities (plantations and pastures), the impact of transport infrastructure (roads, highways, railways), the built areas (active and abandoned industries, quarries, archaeological sites, population centres), and the presence of protected areas. In this article, we consider first the impact of the road network on endangered habitats and then the economic areas made up of quarrying activities. Coastal tourism, with the related sector as urban infrastructure development, agriculture, aquaculture, and transport (marine, land, and air), often invades the environment and causes countless damage.