20250507 16172300 1.0 TRUE <p>This layer presents a harmonized damage assessment of transportation infrastructure and buildings, derived from remote sensing analyses conducted by both UNOSAT and the Copernicus Emergency Management Service (EMS). It consolidates data from:</p> <ul> <li> <p><strong>UNOSAT</strong>: Satellite-based damage mapping and analysis accessible via their <a href='https://experience.arcgis.com/experience/c50e40edd0b14525b250dd2e72acf3fd/page/UNOSAT?views=Home' target='_new'>ArcGIS platform</a>, providing detailed damage classifications across key affected zones.</p> </li> <li> <p><strong>Copernicus EMS (Activation EMSR798)</strong>: <a href='https://mapping.emergency.copernicus.eu/activations/EMSR798/' target='_new'>Operational mapping outputs</a> that document structural and infrastructure damage using very high-resolution satellite imagery and expert interpretation.</p> </li> </ul> <p>The merged dataset encompasses the full Area of Interest (AoI) as covered by either service, standardizing the inputs to provide a comprehensive and non-duplicative overview of observed damages. It includes classifications such as destroyed, severely damaged, and possibly damaged, along with transportation features (e.g., roads, bridges) flagged for visible damage or obstruction.</p> Combined Damage Assessment – Transportation and Buildings (Copernicus & UNOSAT) Copernicus and UNOSAT analysis /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD2uiii tTyAopCQBknApn2iH/nop+hzQBJRUXmu33IiR2LHFHmSD70J/wCAtmgLEtFRec3aGT8cf40ZuDyB GvscmgLEtFV5JphE+yB/MAOOhGa8t07TviFd+LIb++R7a0SYs4Ewwyem0cYqJScbWVzSFNSvdpHq s8QnglhLMokUruU4IyO1eLeCPBvivQvHH7iOeHSIJnWSaZgvnx9uP4u3Ne1pKknCsN3cdx+FPpyg pNN9B06zpxlFLcKZK/lxO+M7QTin1Wv2ZNPuGRd7iNiF9Tir06mLv0MK9+0apZKY7gyu0ih4oBlY gefmHf8AHityVVWGOFQASQq4GMY5z+leYal4zOlaVIIbCOzaeL9+zHYztjbkZ/nWz8MLie50Vknk llZJvN8ySQufmQYHPI61zRqxnUcU/wDLQ6Pq/LT53v8An8yp8Sp9T07F99smOlyxeQ1vF2Y/xH36 V43Y3l7aXKw2891btLJuTZIVVW/hOQMnqfSvXfiVqtzeanbaNp0recpyYxGcsx6YPQ8V574ts9St 7SNvIlxE2XuGIUlgBwMYJIyvSuWtN+009Lnq4enNU4p7v5O36nsvhOGHU/DKy3cStLcczEFsseuc 5z1PXP1roNJRY9MjjQYVSygegBNcn8KbqS58EQJPvMyO2S5zkE8H9O9ddpf/AB4j/ff/ANCNd1GK VNd9NfvPFxCarNPz/Qu0UUVoSFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFMmiWaIxsBg+ozzT6KA KsaFVJj+V0OGjB+U/Qdql+0J3EgPptNNm/dyJIARk4Y9se9T0DCmSSeWvAyx4A9TTmYKpZjgDk1F GheQzOCMjCqewoEKsCkhpfnf1PQfSpAAOgFLRQAUUUUAFFFFABRRRQA140k++it9RTPs0Y+6Cn+4 SP5VLRQBCrvGwSXkHhXH8jS3JxazE9Ah/lT3QSIVPQ1BMs/2eQFkxtPzY56elNbg9j5s1jUNR17b AJZJ4xKY0NxKwxg5+70AA9jXT2cnirQfD9xHYrJ9puYnupJADkgDCEcbsYU9MY4z70fF1zNY6nHJ NPDFbSKWWeOKNmfA4Ucdc+pq/wCFtQ1TWmSytNcdonZhG0kzGRGA74PckYFeVUTjJ73v+vc9Ze9T jKytY1vBFpq8E9x4m10zkSpkMGyEyTjhufTvx61b8QWVhceFdTvrPUY3MTncTCvll3IUkjOM4PXr +Fc4mq+J59B1bT9PTY+ns5mLS/vnyccjvxWJpO+6sbkT3Ei2uSy2bDc0kmAcknr0P5e9KUmoq6fX 7zVQm26kpbWX9fI6Dwb461e11SDRLm8t5vOHlQoINqxscbDuA5BH1r13QPtH9lILvZ9oDN5nl/dz ntXm+i6I2m3Ol6xeWz3ayXZaFo4BugTAUBj1429Oa9O0sg274OR5r/zrvw/M6b5nd6HmYuUZVU4p LcvUUUVsc4UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAIyh1KkZBqHbeLxGyMvYt1qekO9cBV LDHXNA0Qj/SHJIYRqeAQRuPrz2qegHIB9aKBBRRRQAUUUUAFFFFABRRRQAUUUUAFRz5+zy467D/K pKa670ZfUYpoT2PErDTBq3iWwsdegtLWAs5W0Fs2ZBzht2T1znPSuj06Q6dqGt+HfDulRWmpQyic XksZMODjOWwcHb07UvjTTtbl1DRzaQSEaeWYzRKx4x1GO/tmt7TbxbnR8YaC4vJVWVG5YhsAnBAw ee4rmjSlzNeb1t0Z1/WIQhGT1027NPt1PNdJs/EVn4nbxHqql1nYo01nIsiyHpk7CQOMcHiuui8M vrjRSy6e6r5JK3srGCZZCT1UdQB04rsdJ8PaZosCRWdvjZ0aRi7D8TnH4Vsd6uFGMdZa+uwqmMq1 HdWj007GPpuhta6fBa3l7NdiJcfN8oP1A6/jWtHGkSBI1CqOgAp1FbXdrdDlsrt9QooopDCiiigA ooooAKKKKACiiigAooooAKKKKACiiigAoqGSfy5QmxiCucjnH4VKm2RQytwaAFooooAKKKKACiii gAooooAKKKKACiiigAooooAKaEQHIVQfpTqKYBRRRSAKKKKACiiigAooooAKKKKACiiigAooooAK KKKACmvIsa7mOBnHTNJJIIwOCzHoo6mmRQ7QrSEtJ3JJIB749KAHpKkgO09OoIwaSSQqQqDc7dB6 D1NJLAsrKSSMdQP4h6GnJFHHnYirnrgYoHoNjiZXLvJvJGOmMUj2iOxbhc9s1NRQK4UUUUAFFFFA BRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUyVzHE zDGR60SSCNc4JJOAB1JpgjaRg0wGB0Uf1oAckeDvZtzkdfT6VJRRQAUUUUAFFFFABRRRQAUUUUAF FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFMkkES5OeeAAOpoAfRUI+0lQf3Q Ppg0uJ26sqD2GaAJaa7qgyzAD3qPyAeXdmP1xinLCFcMWZiOm45xQAnnbuI42Y+pGB+dJ5Ltl2kK v22scD8O9TUUARLEQ4d3LsOmQAB9KloooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiig AooooAKKKKACiiigAooooAKKKKACiiigAqOZS0TAfeHI+tLI/lxlsE47CoJfPmKxiPYM5JJ4+nFA 0WEcSIGU8GnU1VSJMKAqjnjgVRsNRS/MmxCuzHUg5B6H9KpRbTfYhySaXc0KKKKkoKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAI7 gZt5P90/yp6copJzxSOoeNlPRgQabA5kt42PUqCaA6EnUYpkUMUIIijVATk7Rin0U7isFFFFIYUU UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUdKzhrdibnyBK 3mdjsbaecZzjGM8ZqlFvZEuSW7NGiiipKCiiigAooooAbJu8ttmN2OM1Db5RmjZSD97O7Oc1YqGU 7Jo39TsI9aBomooooEFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQ AUUUUAFV7m9htNokJLNyqqMk1YrD8S6NPq9mUt5jE+0qSrbSRkHg/hTRMr20M/VdYnv9QOiQRzW0 0ke4Ow4OegJ7dDWR4Z8O+IJPEMmqa55EaJF9laELkzKq4DA9hnnHtWzpmgXNlY2cMsa3ElqSUlmu G3DPY4HI9qoeOPEEmn6FtWWOLUkuk8mISlRLjBPI5xg/niompJOT2XZmtFxb5Ert6Xa/rQ3dRuYN FiMjaiYl2lhFKDJkD070zTNUvtU00X0KxrGQSolRlJFGoixk0W31PXrVYJIEWR13/wCrY4yM9OtZ Hi+81HVNJWw8MahaRXUjL5n7z94gPIwB0zz1pqpNys7Py6idGNt7d30R2FpP9otIZyu3zEV8emRm pqp6VbTWel2ttPIJZYolR3AxuIFXKt2u7Gcb8quFFFFSUFRTggK4GShzj271LSEZUj1FAACGUEHI NLUNuw2CM8OnBH9amoAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiii gAooooAKKKKACuJ8Z2UL211N9lSa7gMdzasUyUc5U9AT0Ufjiu2rj/Eeh6hruqYs9Skslg8tnEfB f7xHPoD270ppuEkuwRaU4t9/0LsupSWngcX/AIigBlFvvuI4U3YJ9Ae/T8a534f2mh3Yj1fSYrwS zbpJ5r2QtK3JCgjOAOvT2ruIZ7SbzbQ3EU8kChJ1YgkZH8Q96oeHdJs9NS5e2iEZeVgyg8KAeAPa pgteYudT3eTa7v5WRuUUUVZAUUVG8yIdvLN/dUZNAElFQgzsP4Ez+JFQXFxdW7QqIRMJH2Erxt9z 7U0m3ZCbSV2TXKnasijlDkkdcVMp3KCO4zULPMFIMIJPGQeKkij8qJUyTgdaRQ+iiigQUUUUAFFF FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAh4rnpdWay8RzpJbH7K4R GuS4AQgE4x3+8PzFblzK0NrLKq7mRCwX1wK8nvdQ1vxJNcW1lbsVSQs4BwpJKkFvyx7VlXqSpQbj q3okOnBTmk9lr+h0PjG1ku73T7HTHWGO/uAbydE8wBcZGR0Ga6bQLQWenmJZZJEEjBXkOSRnFeXT R+KdJura3hvp2ZXxJMArDpx19sV6j4djuo9GiW7ffLkndjG73xU0JKSb5Wn6WNMQ/himna+36mvR RRW5kI2dp29ccZqO3A8oEZ3H7xPXPens6oMswA96ZBk72wVVjkA0AS0UUUAFFFFABRRRQAUUUUAF FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVWk0+zkfe9tGW7nbRR TiJirY2qfdt4x/wGrAGBgdKKKJNgklsFFFFIZBdAbE4+fcAh9DU9FFABRRRQAUUUUAFFFFABRRRQ AUUUUAFFFFABRRRQAUUUUAf/2Q==