{"id":402,"date":"2023-10-17T10:01:59","date_gmt":"2023-10-17T08:01:59","guid":{"rendered":"https:\/\/intellfoo.ujaen.es\/?page_id=402"},"modified":"2023-11-17T09:02:50","modified_gmt":"2023-11-17T08:02:50","slug":"equipamiento","status":"publish","type":"page","link":"https:\/\/intellfoo.ujaen.es\/?page_id=402","title":{"rendered":"Equipamiento"},"content":{"rendered":"\n

Equipamiento disponible<\/strong><\/h2>\n\n\n\n

En este grupo se cuenta con un servicio de drones dotado de varios veh\u00edculos a\u00e9reos as\u00ed como sensores asociados a estos con el fin de realizar trabajos de fotogrametr\u00eda u obtenci\u00f3n de datos como pueden ser LiDAR, multi \/ hiperespectrales o termogr\u00e1ficos.<\/p>\n\n\n\n

El material disponible para la realizaci\u00f3n de estas tareas es el siguiente.<\/p>\n\n\n\n

Veh\u00edculos a\u00e9reos<\/strong><\/h2>\n\n\n\n
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DJI 300 RTK<\/strong><\/p>\n\n\n

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DJI 300 RTK<\/h3>\n
Fabricante: DJI
Autonom\u00eda: 55 minutos
Acople para 2 Gimbales inferiores y 1 superior
Posicionamiento RTK (Real Time Kinematics)<\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div> \n <\/div>\n <\/div>\n <\/div>\n\t\t\t\n<\/div>\n\n\n\n
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DJI Mavic Pro<\/strong><\/p>\n\n\n

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DJI Mavic Pro<\/h3>\n
Fabricante: DJI
Autonom\u00eda: 27 minutos
C\u00e1mara RGB 12.5 MP<\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div> \n <\/div>\n <\/div>\n <\/div>\n\t\t\t\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
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DJI 210<\/strong><\/p>\n\n\n

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\n \"dji210\n <\/div>\n
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DJI 210<\/h3>\n
Fabricante: DJI
Autonom\u00eda: 35 minutos
Gimbal dual
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DJI Phantom 4 RTK<\/strong><\/p>\n\n\n

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DJI Phantom 4 RTK<\/h3>\n
Fabricante: DJI
Autonom\u00eda: 30 minutos
C\u00e1mara 20 MP
Posicionamiento RTK (Real Time Kinematics)<\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div> \n <\/div>\n <\/div>\n <\/div>\n\t\t\t\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
\"image-18<\/figure>\n\n\n\n
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DJI Mavic 3T<\/strong><\/p>\n\n\n

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DJI Mavic 3T<\/h3>\n
Fabricante: DJI
Autonom\u00eda: 45 minutos
C\u00e1mara t\u00e9rmica de 640 x 512 px
Posicionamiento RTK (Real Time Kinematics)<\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div> \n <\/div>\n <\/div>\n <\/div>\n\t\t\t\n<\/div>\n\n\n\n
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DJI Mavic 3M<\/strong><\/p>\n\n\n

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DJI Mavic 3M<\/h3>\n
Fabricante: DJI
Autonom\u00eda: 43 minutos
C\u00e1mara RGB (20MP) + Multiespectral (4 x 5 MP)
Posicionamiento RTK (Real Time Kinematics)<\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div> \n <\/div>\n <\/div>\n <\/div>\n\t\t\t\n<\/div>\n\n\n\n
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LiDAR Drone<\/strong><\/p>\n\n\n

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LiDAR Drone<\/h3>\n
Fabricante: Aeromedia
Autonom\u00eda: 25 minutos
Capacidad de carga: 10Kg<\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div> \n <\/div>\n <\/div>\n <\/div>\n\t\t\t\n<\/div>\n<\/div>\n\n\n\n
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Sensores disponibles<\/strong><\/h2>\n\n\n\n
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DJI P1<\/strong><\/p>\n\n\n

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DJI P1<\/h3>\n
Fabricante: DJI
Sensor de c\u00e1mara: 45MP
Precisi\u00f3n: 3 cm horizontales \/ 5 cm verticales
Intervalo de fotograf\u00eda: 0.7s
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DJI XT2<\/strong><\/p>\n\n\n

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DJI XT2<\/h3>\n
Fabricante: DJI
Sensor dual RGB \/ T\u00e9rmico
C\u00e1mara t\u00e9rmica: -40 \/ 550\u00baC
C\u00e1mara RGB: 12 MP<\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div> \n <\/div>\n <\/div>\n <\/div>\n\t\t\t\n<\/div>\n\n\n\n
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LiDAR Phoenix Scout-Ultra<\/strong><\/p>\n\n\n

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LiDAR Phoenix Scout-Ultra<\/h3>\n
Fabricante: LiDAR Phoenix
Sensores: LiDAR, Hiperespectral, T\u00e9rmico
Campo visi\u00f3n: 360\u00ba
Visualizaci\u00f3n en tiempo real de la nube de puntos generada<\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div> \n <\/div>\n <\/div>\n <\/div>\n\t\t\t\n<\/div>\n<\/div>\n\n\n\n
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Micasense Red-Edge MX<\/strong><\/p>\n\n\n

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Micasense RedEdge-MX<\/h3>\n
Fabricante: Micasense
Sensor multiespectral
Captura de 5 bandas espectrales (Azul, Verde, Roja, Borde Rojo 717nm, Infrarrojo cercano)
Resoluci\u00f3n de 8cm por pixel a 120m de altura
Genera \u00edndices de vegetaci\u00f3n e im\u00e1genes RGB<\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div> \n <\/div>\n <\/div>\n <\/div>\n\t\t\t\n<\/div>\n\n\n\n
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Micasense Red-Edge MX<\/strong> Blue<\/strong><\/p>\n\n\n

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Micasense RedEdge-MX Blue<\/h3>\n
Fabricante: Micasense
Sensor multiespectral
Captura de 5 bandas (Azul costero, Verde, Rojo, Borde rojo 705nm, Borde rojo 740nm)
Resoluci\u00f3n 8cm a 120m de altura
Permite integraci\u00f3n con el RedEdge-MX
<\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div> \n <\/div>\n <\/div>\n <\/div>\n\t\t\t\n<\/div>\n\n\n\n
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Nano-Hyperspec VNIR Imaging Sensor<\/strong><\/p>\n\n\n

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\n \"nano-hp_pointing-down-web-main\n <\/div>\n
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Nano-Hyperspec VNIR Imaging Sensor<\/h3>\n
Fabricante: Nano Hyperspec
Sensor hiperespectral
Longitud de onda: 400-1000nm
340 bandas espectrales<\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div> \n <\/div>\n <\/div>\n <\/div>\n\t\t\t\n<\/div>\n<\/div>\n\n\n\n
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Software<\/strong><\/h2>\n\n\n\n

Los siguientes software que se presentan son aquellos para los cuales el grupo cuenta con licencias de uso para poder disponer de sus funcionalidades cuando se requiera<\/p>\n\n\n\n

Pix4D<\/strong>: Software especializado en fotogrametr\u00eda siendo de los m\u00e1s completos. Permite obtener modelos tridimensionales, modelos digitales del terreno, ortofotos mejoradas…<\/p>\n\n\n

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MetaShape<\/strong>: Software de procesamiento de im\u00e1genes y fotogrametr\u00eda ampliamente utilizado para an\u00e1lisis y medici\u00f3n en modelos y mapas y generaci\u00f3n de datos geoespaciales precisos como modelos tridimensionales partiendo de im\u00e1genes a\u00e9reas y terrestres.<\/p>\n\n\n\n

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\"image-16<\/figure>\n<\/div><\/div>\n<\/div>\n\n\n\n

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UGCS<\/strong>: Software especializado para la gesti\u00f3n de tareas y operaciones que necesitan de la integraci\u00f3n de drones, su principal objetivo es el de planificar, controlar y monitorear misiones de vuelo de drones.<\/p>\n\n\n\n

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\"image-14-1024x576<\/figure>\n<\/div><\/div>\n<\/div>\n\n\n\n

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ArcGIS 10.8.2<\/strong>: Software de la empresa ESRI ampliamente utilizado para la gesti\u00f3n de informaci\u00f3n geogr\u00e1fica, desde realizaci\u00f3n de an\u00e1lisis espaciales, creaci\u00f3n de mapas interactivos o comprender y resolver problemas cuya componente principal son los datos geoespaciales.<\/p>\n\n\n\n

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\"image-12-1024x538<\/figure>\n<\/div><\/div>\n<\/div>\n\n\n\n

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NVI<\/strong>: Software de procesamiento de informaci\u00f3n visual mediante t\u00e9cnicas y tecnolog\u00edas de machine learning. El objetivo principal se centra en la detecci\u00f3n autom\u00e1tica de aspectos a destacar en la informaci\u00f3n multimedia disponible. Trabaja con informaci\u00f3n espacial mediante la recolecci\u00f3n, procesamiento y an\u00e1lisis de datos en tiempo real.<\/p>\n\n\n

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SpatialExplorer<\/strong>: Paquete de software para la adquisi\u00f3n, georreferenciaci\u00f3n, fusi\u00f3n y exportaci\u00f3n de datos desarrollado por la empresa Phoenix LiDAR. Permite control en tiempo real de los datos LiDAR, permitiendo analizar y controlar el proceso de recogida de datos<\/p>\n\n\n\n

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\"image-1-1024x576<\/figure>\n<\/div><\/div>\n<\/div>\n\n\n\n

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HyperSpec III:<\/strong> Software para la adquisici\u00f3n y manipulaci\u00f3n de datos hiperespectrales desarrollado por la empresa Headwall Photonics.<\/p>\n\n\n\n

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Equipamiento disponible En este grupo se cuenta con un servicio de drones dotado de varios veh\u00edculos a\u00e9reos as\u00ed como sensores asociados a estos con el fin de realizar trabajos de fotogrametr\u00eda u obtenci\u00f3n de datos como pueden ser LiDAR, multi \/ hiperespectrales o termogr\u00e1ficos. El material disponible para la realizaci\u00f3n de estas tareas es el […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":376,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-402","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/intellfoo.ujaen.es\/index.php?rest_route=\/wp\/v2\/pages\/402","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/intellfoo.ujaen.es\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/intellfoo.ujaen.es\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/intellfoo.ujaen.es\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/intellfoo.ujaen.es\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=402"}],"version-history":[{"count":133,"href":"https:\/\/intellfoo.ujaen.es\/index.php?rest_route=\/wp\/v2\/pages\/402\/revisions"}],"predecessor-version":[{"id":682,"href":"https:\/\/intellfoo.ujaen.es\/index.php?rest_route=\/wp\/v2\/pages\/402\/revisions\/682"}],"up":[{"embeddable":true,"href":"https:\/\/intellfoo.ujaen.es\/index.php?rest_route=\/wp\/v2\/pages\/376"}],"wp:attachment":[{"href":"https:\/\/intellfoo.ujaen.es\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=402"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}