The development of this project is subsidized by the Galician Innovation Agency (GAIN) and 80% co-financed by the European Regional Development Fund under the FEDER Galicia 2014-2020 operational program (OT 1. “Promote technological development, innovation and quality research ”).
START DATE: 03/15/2018. END DATE: 09/29/2020
TOPACIO is the acronym for INFRASTRUCTURE MANAGEMENT OPTIMIZATION TECHNOLOGIES FOR FOREST FIRE PREVENTION.
This R + d + i project has been approved in the Conecta Peme 2018 call of the Xunta de Galicia through the Galician Innovation Agency, and is co-financed by ERDF funds from the European Union.
On 11/29/2019, the Conference to present the progress of the TOPACIO project took place. You can download the presentation here.
The TOPACIO project was selected in the CONECTAPEME 2018 call to be co-financed by the Galician Innovation Agency of the Xunta de Galicia through FEDER funds from the European Union. Its duration is 3 years and ends in September 2020
In the TOPACIO project, AEROMEDIA UAV S.L participates together with three other companies (Extraco, SAN2 and Conexiona) and we also have the collaboration of two technology centers, such as the University of Vigo and the Forest Research Center of Lourizán
With the TOPACIO project, the aim is to develop a GIS application that allows optimizing forest fuel management in the vicinity of communication routes.
The companies and organizations responsible for the maintenance of linear infrastructures (roads, railways, power lines, etc.), have the obligation to carry out clearing, felling and pruning in order to limit the probability of starting, spreading or transmitting a forest fire .
The TOPACIO project aims to integrate many sources of information into the GIS platform, such as meteorological sources, those on the state of vegetation and those provided by anyone through a mobile application.
The aspect in which AEROMEDIA participates together with the University of Vigo, is to monitor the state of the vegetation on a large scale. For this we are conducting LIDAR flights with drones in the environment of different communication channels and at different times of the year.
With this LIDAR data, algorithms are being developed that automate the identification of forest fuel models, vegetation continuity, heights, and other variables. These data, together with other meteorological, satellite, geographical and historical types, allow optimizing forest fuel management in the aforementioned environments.
The main advantage that LIDAR information provides for the forest fuel inventory is its immediacy and the ability to refer to work scales that are impossible to access with satellite information or other cartographic sources.
At this point in the project, as regards AEROMEDIA, a LIDAR data acquisition campaign has already been carried out in winter and summer in the pilot scenarios and algorithms for structural classification of vegetation have also been developed.