{"id":26278,"date":"2025-08-22T18:19:23","date_gmt":"2025-08-22T17:19:23","guid":{"rendered":"https:\/\/www.forestwise.pt\/?p=26278"},"modified":"2025-08-22T18:33:56","modified_gmt":"2025-08-22T17:33:56","slug":"colab-forestwise-integrates-project-for-forest-disturbance-remote-sensing","status":"publish","type":"post","link":"https:\/\/www.forestwise.pt\/en\/colab-forestwise-integrates-project-for-forest-disturbance-remote-sensing\/","title":{"rendered":"CoLAB ForestWISE integrates project for forest disturbance remote sensing"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"26278\" class=\"elementor elementor-26278\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-232aed76 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"232aed76\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-61048093\" data-id=\"61048093\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-12369c78 elementor-widget elementor-widget-text-editor\" data-id=\"12369c78\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>In June 2025, TREAD was launched. Led by the Consejo Superior de Investigaciones Cient\u00edficas (CSIC, Spain), and with the participation of the University of C\u00f3rdoba and CoLAB ForestWISE, this project aims to develop an automated system for the early detection of forest vulnerability, using functional parameters and thermal data from remote sensing.<\/p><p>Developing models for the early detection of pest and disease symptoms is a challenge due to the limited knowledge of the physiological changes that affect plant functional parameters under stress. Although remote sensing data shows potential for quantifying parameters that provide information about susceptibility to pests and diseases at an early stage, the specific responses to different stress factors remain poorly understood. Furthermore, the spatial and temporal transferability of pest and disease detection models is still limited.<\/p><p>The TREAD project aims to overcome these limitations and create a satellite monitoring system of critical disturbance points, facilitating the early detection of changes. The focus of the project will be on areas of Pinus spp. and Quercus spp. affected by water stress and diseases caused by agents such as Phytophthora and the pine wood nematode, along a climatic gradient in Portugal and Spain.<\/p><p>Over two years, real-time data will be collected from remote sensing, field measurements and physical models.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>In June 2025, TREAD was launched. Led by the Consejo Superior de Investigaciones Cient\u00edficas (CSIC, Spain), and with the participation of the University of C\u00f3rdoba and CoLAB ForestWISE, this project aims to develop an automated system for the early detection of forest vulnerability, using functional parameters and thermal data from remote sensing. Developing models for [&hellip;]<\/p>\n","protected":false},"author":5,"featured_media":26285,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[38],"tags":[],"class_list":["post-26278","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-press-releases-en"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.7 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>CoLAB ForestWISE integrates project for forest disturbance remote sensing - ForestWISE<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.forestwise.pt\/en\/colab-forestwise-integrates-project-for-forest-disturbance-remote-sensing\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"CoLAB ForestWISE integrates project for forest disturbance remote sensing - ForestWISE\" \/>\n<meta property=\"og:description\" content=\"In June 2025, TREAD was launched. Led by the Consejo Superior de Investigaciones Cient\u00edficas (CSIC, Spain), and with the participation of the University of C\u00f3rdoba and CoLAB ForestWISE, this project aims to develop an automated system for the early detection of forest vulnerability, using functional parameters and thermal data from remote sensing. 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