The Project will demonstrate the feasibility of low-cost wireless sensor networks (WSNs) for application in forest fire surveillance and early warning systems. To assess the risk and detect forest fires in the Sudoe, meteorological data and satellite images of the Earth\u0092s surface (telection) are currently used with low spatial and temporal resolution and unreliable (high rate of false positives). In addition, weather and remote sensing equipment have a high cost. WSNs use electronic modules with sensors that measure the meteorological and environmental parameters involved in forest fire risk in real time. They are also endowed with computing and wireless communication, with each other and with the cloud. WSNs adapt to the characteristics of risk zones, are easy to deploy and scalable. They are a proximity tool that complements remote sensing and facilitates co-responsible risk management by municipalities, local communities and the inhabitants of risk areas. The Project will carry out Pilot Activities in areas of the Sudoe of different climate, orography and vegetation with objectives of prevention or early detection. It will also develop an Action Plan for the adoption of WSN in municipalities for meteorological and environmental monitoring purposes and an Action Plan for the training of professionals in WSN for environmental risk management. The WSN integrates multiple technologies with unequal levels of development in the Sudoe countries, so transnational cooperation is essential for the realisation of WSNs, Pilot Activities and Action Plans. These outputs will benefit municipalities (innovative technology for the effective management of environmental risks), land owners and users (protection of crops, pastures, forests and livestock), SMEs (high value added products and services and skilled professionals), young population (quality work and entrepreneurship) and the general population (health protection, property, infrastructure, natural and cultural heritage) of rural Sudoe.<\/p>\n","protected":false},"excerpt":{"rendered":"
The Project will demonstrate the feasibility of low-cost wireless sensor networks (WSNs) for application in forest fire surveillance and early warning systems. To assess the risk and detect forest fires in the Sudoe, meteorological data and satellite images of the Earth\u0092s surface (telection) are currently used with low spatial and temporal resolution and unreliable (high […]<\/p>\n","protected":false},"author":4927,"featured_media":34303,"template":"","meta":{"_acf_changed":false,"content-type":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"convocatoria-proyecto-27":[3313],"estado-proyecto-27":[3362],"idioma-proyecto-27":[3199,3558],"objetivo-especifico-proyecto-27":[3300],"pais-proyecto-27":[3376,3377,3382,3373],"periodo":[3555],"prioridad-proyecto-27":[3279],"publico-objetivo":[],"region-proyecto-27":[3385,3398,3401,3510,3416,3422,3439,3525],"tematica-proyecto-27":[3981],"class_list":["post-35293","proyecto-interreg","type-proyecto-interreg","status-publish","has-post-thumbnail","hentry","convocatoria-proyecto-27-1st-call","estado-proyecto-27-on-going","idioma-proyecto-27-english","idioma-proyecto-27-espanol-en","objetivo-especifico-proyecto-27-so-1-1-research-innovation","pais-proyecto-27-france-en","pais-proyecto-27-portugal-en","pais-proyecto-27-principality-of-andorra","pais-proyecto-27-spain","periodo-2021-2027-en","prioridad-proyecto-27-2-promoting-social-cohesion-and-territorial-and-demographic-balance-in-sudoe-through-innovation-and-the-transformation-of-productive-sectors","region-proyecto-27-alentejo-en","region-proyecto-27-castilla-y-leon-en","region-proyecto-27-cataluna-en","region-proyecto-27-centro-en","region-proyecto-27-comunidad-de-madrid-en","region-proyecto-27-extremadura-en","region-proyecto-27-midi-pyrenees-occitanie-en","region-proyecto-27-principado-de-andorra-en","tematica-proyecto-27-managing-natural-and-man-made-threats-risk-management"],"acf":[],"yoast_head":"\n