{"id":579,"date":"2024-09-06T14:07:08","date_gmt":"2024-09-06T12:07:08","guid":{"rendered":"https:\/\/www.terraria.com\/prodotti\/masai\/"},"modified":"2025-06-20T12:48:38","modified_gmt":"2025-06-20T10:48:38","slug":"masai","status":"publish","type":"prodotti","link":"https:\/\/www.terraria.com\/en\/products\/masai\/","title":{"rendered":"MASAI"},"content":{"rendered":"<p><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:276}\">\u00a0<\/span><b><span data-contrast=\"none\"><a href=\"https:\/\/masai-project.eu\/\" target=\"_blank\" rel=\"noopener\">MASAI<\/a> &#8211; Map for Damage Assessment with Satellite Artificial Intelligence<\/span><\/b> is an advanced web platform developed by TerrAria within the<span data-contrast=\"none\">\u00a0<\/span><a href=\"https:\/\/www.terraria.com\/en\/case-studies\/masai\/\"><span data-contrast=\"none\">MASAI project<\/span><\/a><span data-contrast=\"none\"> co-funded by the European Space Agency in response to the conflict in Ukraine.<\/span><\/p>\n<p>The tool aims to provide practical support to operators engaged in <strong>humanitarian crisis<\/strong>, facilitating the <strong>assessment of infrastructure damage and buildings<\/strong> <strong>damage<\/strong> (residential, commercial, public&#8230;) through satellite technologies.<\/p>\n<p>MASAI uses Synthetic Aperture Radar (SAR) satellite images and Very High Resolution (VHR) optical images to accurately analyse areas affected by wars or natural disasters.<br \/>\nThe system was designed to respond to the operational needs of humanitarian organisations such as the <strong>Italian Red Cross Association<\/strong>, allowing rapid and accurate analysis of the <strong>structural and socio-economic conditions of damaged areas<\/strong>.<br \/>\nAmong the main results provided:<\/p>\n<ul>\n<li>Level of<strong> infrastructure damage<\/strong> (3 levels: not damaged, moderately damaged, severely damaged\/destroyed)<\/li>\n<li>Estimation of <strong>population affected<\/strong><\/li>\n<li><strong>Preliminary economic assessment of damage.<\/strong><\/li>\n<\/ul>\n<p><span data-contrast=\"none\">\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559685&quot;:360,&quot;335559740&quot;:276}\">\u00a0<\/span><\/p>\n<h2>Key strenghts of MASAI<\/h2>\n<p>The added value of MASAI lies in its <strong>adaptability<\/strong>: the platform is effective not only in war scenarios but also in <strong>natural disasters<\/strong>, such as earthquakes or floods.<br \/>\nThanks to its dual SAR and VHR technology, the system operates with two separate engines:<\/p>\n<ul>\n<li><strong>SAR level<\/strong> (resolution 50-100 m): consists of screening by interferometric and coherence analysis of RADAR images (Sentinel-1, available free of charge), assessing the degree of infrastructure damage, even in the presence of cloud cover or low light<\/li>\n<li><strong>VHR level<\/strong> (~50 cm resolution): uses high resolution imagery and Artificial Intelligence (AI) algorithms for change detection, offering a more detailed and integrated view of the humanitarian crisis, deepening the most affected areas identified with the SAR approach and containing economic costs. In addition to the damage, the VHR module provides information on the affected population and an initial estimate of the economic damage.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p>The platform was <strong>successfully tested on different areas in Ukraine<\/strong>, confirming the effectiveness of the model in managing real emergencies.<\/p>\n<h2>Main features of MASAI<\/h2>\n<p>MASAI is a modular WebGIS platform, developed with open-source technologies and easily accessible via browser.<\/p>\n<p>MASAI offers a comprehensive set of tools for <strong>infrastructure damage analysis<\/strong> and <strong>humanitarian crisis<\/strong> management, including:<\/p>\n<ul>\n<li><strong>Identification of affected areas<\/strong> in the crisis or post-conflict period by comparing pre- and post-event satellite images<\/li>\n<li><strong>Assessment of damage to buildings and infrastructure<\/strong> on interactive maps<\/li>\n<li><strong>Temporal monitoring<\/strong> of the evolution of the humanitarian crisis through successive images<\/li>\n<li><strong>Estimation of the potential number of displaced persons<\/strong> in need of assistance and a rough assessment of the economic impact<\/li>\n<li><strong>Georeferenced reporting<\/strong> through the inclusion of notes, images and comments on points of interest for real-time updates.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>How does MASAI work?<\/h2>\n<p>By accessing the MASAI service through authentication, the user accesses an <strong>interactive dashboard<\/strong> that provides an overview of the areas analysed and available in the system (figure below).<\/p>\n<p><a href=\"https:\/\/www.terraria.com\/wp-content\/uploads\/2024\/09\/MASAI_home.png\"><img fetchpriority=\"high\" decoding=\"async\" class=\"alignnone wp-image-1020\" src=\"https:\/\/www.terraria.com\/wp-content\/uploads\/2024\/09\/MASAI_home-300x147.png\" alt=\"Homepage of the MASAI platform, which consists of an overview of the areas affected by humanitarian crises in the system, analysed with SAR and VHR technologies, with relative location and indication of the area as Population, Area and date of the last analysed satellite image.\" width=\"500\" height=\"246\" srcset=\"https:\/\/www.terraria.com\/wp-content\/uploads\/2024\/09\/MASAI_home-300x147.png 300w, https:\/\/www.terraria.com\/wp-content\/uploads\/2024\/09\/MASAI_home-1024x503.png 1024w, https:\/\/www.terraria.com\/wp-content\/uploads\/2024\/09\/MASAI_home-768x377.png 768w, https:\/\/www.terraria.com\/wp-content\/uploads\/2024\/09\/MASAI_home.png 1266w\" sizes=\"(max-width: 500px) 100vw, 500px\" \/><\/a><\/p>\n<p>The <strong>analysis<\/strong> section (figure below) allows users to explore and interrogate geographical maps based on available dates and technology (SAR\/VHR), with summary graphs relating to:<\/p>\n<ul>\n<li>Damage level<\/li>\n<li>Population affected<\/li>\n<li>Economic damage.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p>The application reasons both in terms of individual buildings and on a grid.<\/p>\n<p><a href=\"https:\/\/www.terraria.com\/wp-content\/uploads\/2024\/09\/MASAI_analisi_ridim.png\"><img decoding=\"async\" class=\"alignnone wp-image-2356\" src=\"https:\/\/www.terraria.com\/wp-content\/uploads\/2024\/09\/MASAI_analisi_ridim-300x130.png\" alt=\"Analysis section, which allows the user to view on the map the level of infrastructure damage for the available time instants according to the technology (the Mariupol area is shown in the figure and the selected technology is VHR), on the right-hand side there is a summary information returned through the graphs of the three analysed parameters (level of damage, population affected and economic damage).\" width=\"500\" height=\"217\" srcset=\"https:\/\/www.terraria.com\/wp-content\/uploads\/2024\/09\/MASAI_analisi_ridim-300x130.png 300w, https:\/\/www.terraria.com\/wp-content\/uploads\/2024\/09\/MASAI_analisi_ridim.png 600w\" sizes=\"(max-width: 500px) 100vw, 500px\" \/><\/a><\/p>\n<p>In the <strong>comparison<\/strong> section, it is possible to analyse the evolution of the humanitarian crisis by simultaneously displaying two synchronised maps relating to different time instants, making it possible, for example, to compare the current situation with the pre-event scenario or to assess the extent or reduction of the affected area between two different dates (figure below).<\/p>\n<p><a href=\"https:\/\/www.terraria.com\/wp-content\/uploads\/2024\/09\/MASAI_confronto_ridim.png\"><img decoding=\"async\" class=\"alignnone wp-image-2354\" src=\"https:\/\/www.terraria.com\/wp-content\/uploads\/2024\/09\/MASAI_confronto_ridim-300x155.png\" alt=\"Comparison section, which allows the user to observe on the map the level of infrastructure damage for two different time instants, with the possibility of navigating the maps synchronously and assessing the evolution of the humanitarian crisis over time.\" width=\"500\" height=\"258\" srcset=\"https:\/\/www.terraria.com\/wp-content\/uploads\/2024\/09\/MASAI_confronto_ridim-300x155.png 300w, https:\/\/www.terraria.com\/wp-content\/uploads\/2024\/09\/MASAI_confronto_ridim.png 599w\" sizes=\"(max-width: 500px) 100vw, 500px\" \/><\/a><\/p>\n<p><strong>Are you interested in finding out how MASAI can support your fieldwork?<\/strong><br \/>\nContact us for a customised demo or for more information on the platform.<br \/>\nWe are ready to help you turn satellite data and AI algorithms into fast, reliable and action-oriented decisions.<\/p>\n<p><strong>\ud83d\udc49 Request a demo<\/strong><br \/>\n<strong>\ud83d\udc49 Email us at: <a href=\"mailto:info@terraria.com\">info@terraria.com<\/a><\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p> Maps for assessing the level of damage to buildings using artificial intelligence applied to satellite images.<\/p>\n","protected":false},"featured_media":768,"template":"","meta":{"_acf_changed":false},"class_list":["post-579","prodotti","type-prodotti","status-publish","has-post-thumbnail","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.terraria.com\/en\/wp-json\/wp\/v2\/prodotti\/579","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.terraria.com\/en\/wp-json\/wp\/v2\/prodotti"}],"about":[{"href":"https:\/\/www.terraria.com\/en\/wp-json\/wp\/v2\/types\/prodotti"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.terraria.com\/en\/wp-json\/wp\/v2\/media\/768"}],"wp:attachment":[{"href":"https:\/\/www.terraria.com\/en\/wp-json\/wp\/v2\/media?parent=579"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}