{"id":39182,"date":"2024-06-14T09:45:21","date_gmt":"2024-06-14T13:45:21","guid":{"rendered":"https:\/\/staging-bfc7-geopluscom.wpcomstaging.com\/?p=39182"},"modified":"2024-06-21T12:16:46","modified_gmt":"2024-06-21T16:16:46","slug":"lidar-or-photogrammetry-everything-you-need-to-know","status":"publish","type":"post","link":"https:\/\/staging-bfc7-geopluscom.wpcomstaging.com\/es\/lidar-o-fotogrametria-todo-lo-que-necesita-saber\/","title":{"rendered":"\u00bfLIDAR o fotogrametr\u00eda? Todo lo que necesita saber."},"content":{"rendered":"
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\n

LiDAR frente a fotogrametr\u00eda: Elecci\u00f3n de la tecnolog\u00eda adecuada para sus necesidades cartogr\u00e1ficas<\/strong>
<\/span><\/span><\/div><\/span><\/h1>\n\n\n\n

En lo que respecta a las tecnolog\u00edas de teledetecci\u00f3n, dos de las m\u00e1s utilizadas son el LiDAR y la fotogrametr\u00eda. Ambas tecnolog\u00edas son capaces de generar modelos tridimensionales de alta resoluci\u00f3n del entorno, pero difieren en la forma de recopilar y procesar los datos. En este art\u00edculo analizaremos las diferencias entre LiDAR y fotogrametr\u00eda para ayudarle a elegir la tecnolog\u00eda adecuada para sus necesidades cartogr\u00e1ficas.<\/p>\n\n\n\n

LiDAR<\/p>\n\n\n\n

LiDAR (Light Detection and Ranging) es una tecnolog\u00eda basada en l\u00e1ser que utiliza pulsos de luz para medir la distancia entre el sensor y el entorno. A partir de estas mediciones se genera una nube de puntos que puede utilizarse para crear un modelo tridimensional del entorno.<\/p>\n\n\n\n

El LiDAR es conocido por su capacidad para producir datos muy precisos y detallados, incluso en entornos dif\u00edciles como bosques o zonas urbanas. Tambi\u00e9n es capaz de penetrar en la vegetaci\u00f3n para proporcionar informaci\u00f3n detallada sobre la superficie del suelo, lo que lo convierte en una opci\u00f3n popular para aplicaciones como la silvicultura y la cartograf\u00eda del terreno.<\/p>\n\n\n\n

Sin embargo, la recopilaci\u00f3n y el procesamiento de datos LiDAR pueden ser costosos y requerir mucho tiempo, lo que los hace menos pr\u00e1cticos para proyectos a peque\u00f1a escala o con presupuestos limitados.<\/p>\n\n\n\n

Fotogrametr\u00eda<\/strong><\/p>\n\n\n\n

La fotogrametr\u00eda, por su parte, utiliza fotograf\u00edas tomadas desde distintos \u00e1ngulos para crear un modelo tridimensional del entorno. Las fotograf\u00edas se procesan con programas inform\u00e1ticos especializados como VisionLidar<\/strong> que compara las caracter\u00edsticas de las im\u00e1genes para crear una nube de puntos.<\/p>\n\n\n\n

La fotogrametr\u00eda suele ser m\u00e1s asequible y r\u00e1pida que el LiDAR, lo que la convierte en una opci\u00f3n popular para proyectos a menor escala o con presupuestos limitados. Tambi\u00e9n es capaz de generar datos muy detallados y precisos, aunque su exactitud puede verse afectada por factores como la resoluci\u00f3n de la c\u00e1mara y la calidad de la imagen.<\/p>\n\n\n\n

Sin embargo, la fotogrametr\u00eda puede tener dificultades para penetrar en la vegetaci\u00f3n densa o captar informaci\u00f3n detallada sobre la superficie del suelo, lo que la hace menos adecuada para aplicaciones como la silvicultura o la cartograf\u00eda del terreno.<\/p>\n\n\n\n

Elegir la tecnolog\u00eda adecuada<\/strong><\/p>\n\n\n\n

A la hora de elegir entre LiDAR y fotogrametr\u00eda, hay que tener en cuenta algunos factores. Entre ellos se incluyen:<\/p>\n\n\n\n

Presupuesto<\/em><\/strong>Presupuesto: LiDAR suele ser m\u00e1s caro que la fotogrametr\u00eda, por lo que si tiene un presupuesto limitado, la fotogrametr\u00eda puede ser una mejor opci\u00f3n.<\/p>\n\n\n\n

Precisi\u00f3n<\/em><\/strong>Precisi\u00f3n: LiDAR es conocido por su alta precisi\u00f3n, por lo que si necesita mediciones precisas o informaci\u00f3n detallada sobre la superficie del suelo, LiDAR puede ser la mejor opci\u00f3n.<\/p>\n\n\n\n

Medio ambiente<\/em><\/strong>Entorno: Si trabaja en un bosque denso o en un entorno urbano, LiDAR puede ser la mejor opci\u00f3n, ya que puede penetrar en la vegetaci\u00f3n y generar datos precisos en entornos dif\u00edciles.<\/p>\n\n\n\n

Tama\u00f1o del proyecto<\/em><\/strong>Tama\u00f1o del proyecto: Para proyectos de menor escala, la fotogrametr\u00eda puede ser m\u00e1s r\u00e1pida y asequible, mientras que para proyectos de mayor escala, LiDAR puede ser m\u00e1s pr\u00e1ctico.<\/p>\n\n\n\n

En conclusi\u00f3n, tanto el LiDAR como la fotogrametr\u00eda son potentes tecnolog\u00edas de teledetecci\u00f3n que pueden generar modelos tridimensionales muy precisos y detallados del entorno. Teniendo en cuenta factores como el presupuesto, la precisi\u00f3n, el entorno y el tama\u00f1o del proyecto, puede elegir la tecnolog\u00eda que mejor se adapte a sus necesidades cartogr\u00e1ficas.<\/em><\/p>\n\n\n\n

VisionLidar<\/a> ofrece la posibilidad de generar una nube de puntos a partir de una foto, ya sea capturada con un iPhone o con un dron. Para generar la nube de puntos, s\u00f3lo se requieren dos pasos. Se puede dar un tercer paso para ayudar a la georreferenciaci\u00f3n.<\/p>\n\n\n\n

Los siguientes pasos deben completarse en el orden especificado:<\/p>\n\n\n\n

Archivo<\/strong>: Esto le permitir\u00e1 crear un proyecto para la creaci\u00f3n de nubes de puntos a partir de sus im\u00e1genes.<\/p>\n\n\n\n

Puntos de control<\/strong>: Esto le permitir\u00e1 editar sus puntos de control.<\/p>\n\n\n\n

Nube de puntos<\/strong>: Esto le permitir\u00e1 generar su nube de puntos.<\/p>\n\n\n\n

Una vez completados estos procesos, habr\u00e1 generado un punto de nube 3D en RGB. Esto te permitir\u00e1 ejecutar los procesos de VisionLidar, desde la clasificaci\u00f3n hasta la extracci\u00f3n.<\/em><\/p>\n<\/div><\/div>\n<\/div><\/div><\/div>","protected":false},"excerpt":{"rendered":"

Muchos creen que la tecnolog\u00eda LiDAR es de reciente aparici\u00f3n,<\/p>\n

en realidad se cre\u00f3 en los a\u00f1os sesenta, poco despu\u00e9s de la invenci\u00f3n del l\u00e1ser.<\/p>","protected":false},"author":228097081,"featured_media":37957,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_crdt_document":"","inline_featured_image":false,"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"_wpas_customize_per_network":false},"categories":[26,28],"tags":[],"class_list":["post-39182","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","category-lidar"],"yoast_head":"\nLiDAR or Photogrammetry? 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