SYSTEMATIZATION OF THE NETWORK OF RECREATIONAL INFRASTRUCTURES AND TRAILS
In this work for the Ministry of Agriculture we worked both with the mapping of the recreational facilities managed with the GVA and with the layer of trails (GRs, PRs and SLs) of the three provinces of the Valencian Community. With regard to the recreational facilities layer, the following work was carried out: Compilation of […]
NATIONAL FOREST INVENTORY OF EL SALVADOR
VIELCA MEDIO AMBIENTE planned, coordinated and executed the first National Forest Inventory of El Salvador, a pioneering and highly difficult task due to the country’s characteristics. A total of 270 plots of land were erected, with their corresponding social coordination, distributed among the different vegetation strata, such as secondary forest, coniferous forest, shady coffee plantations […]
ENVIRONMENTAL ZONING OF THE GULF OF FONSECA
In this work, the environmental zoning of the Unit La Unión – Gulf of Fonseca was developed, following the requirements of Salvadoran environmental legislation. For this purpose, a complete multisectoral and integrated territorial diagnosis was carried out on a scale of 1:25.000, including a land-use map and the implementation of a probe made for the […]
FOREST MANAGEMENT PLAN FOR SANT MATEU AND VALL D’ALBA
These two works were also pioneers in the area of the Valencian Community, as they were the first to be carried out. These are tactical planning documents based on “PATFOR” and lay the foundation for the development of operational forest planning tools (technical forest management plans and forest management projects). Since these are plans, they […]
DEVELOPMENT OF HIGH-PERFORMANCE IOT INFRASTRUCTURES AGAINST CLIMATE CHANGE BASED ON ARTIFICIAL INTELLIGENCE (GLOBALOT)
Participants:SIE | Sistemas Informáticos Europeos , Universitat Politècnica de València (UPV), UCAM Universidad Católica San Antonio de Murcia, Nutricontrol, S.L. y Vielca Ingenieros S.A.. Summary:The aim of this project is to develop a high-performance IoT infrastructure to be able to create autonomous decision support systems (SAADs), which optimise resources in intensive farming processes and prevent […]