As urban life is spreading, it becomes essential to measure the impact of the human activities on the environment, as well as the possibility of having an inhibited area in a region under crisis, which burdens human health. Moreover, given the dependence of global economy upon agriculture and fishery, there can be no doubt that soil, vegetation; coastal health and growth are of vital importance.
GreenSSLMTMcan monitor wide areas of any surface and detect possible malicious changes and effects, as well as the development of its targets for infinite time and can offer optimized support for commercial growth. Substantial benefit: better land use practices and understanding of the environmental status across time can help scientists detect the reasons causing wildlife becoming distinct. GreenSSLMTM manages a grand database of climate records which are studied and appreciated by biologists and experts, offering valuable insights to the scientific community.
Carrying a valuable experience on satellite and other remote applications and also on GIS systems, Aratos Technologies S.A. presents an innovative environmental platform, designed to monitor, assess and manage natural landscapes across a variety of interacting factors. We have already delivered other Earth Observation solutions aiming in monitoring private ownerships and providing in time detection of hazardous situations, as these are estimated by Aratos Disaster ControlTM and World Fire Alarm SystemTM.
GreenSSLMTM, based on the knowledge gained from the aforementioned applications, constitutes a continuously monitoring interface able to process and evaluate complex environmental factors which characterize the holistic status of the area. Such factors are associated with indicators describing the health or crisis levels in land, air and water areas of a wider landscape and can therefore inform us on the potential hazards (natural or human-caused) the region may suffers from. On the way all these factors interact and affect the ecosystem studied, as well as the populations residing within, and finally indicate proper methods for land use optimization.