Colombia GIS data
＋ Follow new data219 datasets.
satellite imagery by OPIAC, acquired 2026-07-13 to 2026-07-13, 5.6 cm per pixel, published on OpenAerialMap.
uav imagery by OSM Colombia, acquired 2026-07-13 to 2026-07-13, 5.7 cm per pixel, published on OpenAerialMap.
satellite imagery by Vantor, acquired 2026-07-31 to 2026-07-31, 63.8 cm per pixel, published on OpenAerialMap.
satellite imagery by Vantor, acquired 2026-08-10 to 2026-08-10, 57.1 cm per pixel, published on OpenAerialMap.
satellite imagery by Vantor, acquired 2026-08-12 to 2026-08-12, 47.9 cm per pixel, published on OpenAerialMap.
satellite imagery by Vantor, acquired 2026-08-13 to 2026-08-13, 64.0 cm per pixel, published on OpenAerialMap.
satellite imagery by Vantor, acquired 2026-08-13 to 2026-08-13, 39.8 cm per pixel, published on OpenAerialMap.
satellite imagery by Vantor, acquired 2026-09-03 to 2026-09-03, 33.8 cm per pixel, published on OpenAerialMap.
Creamos evaluaciones de daños a nivel de edificio tras el terremoto en Colombia mediante el entrenamiento y la posterior ejecución de un modelo de inteligencia artificial sobre imágenes satelitales adquiridas después del desastre. El modelo de IA clasifica cada edificio identificado en las imágenes como "sin daños", "afectado" o "desconocido". La categoría "desconocido" se utiliza cuando el edificio no puede ser evaluado adecuadamente, por ejemplo, debido a la presencia de nubes. Utilizamos los polígonos de edificios de Overture Maps, que representan el estado de las edificaciones sobre el terreno antes del evento. Los resultados se distribuyen como un archivo vectorial en formato GeoPackage, con los siguientes atributos para cada edificio: - `id` – identificador único de Overture Maps y Google para cada edificio. - `damaged` – valor 1 si el edificio está dañado; de lo contrario, 0. - `unknown` – valor 1 si el edificio está cubierto por nubes, neblina, humo o si, por alguna otra razón, no fue posible clasificarlo; de lo contrario, 0. - `area` – área del edificio en metros cuadrados. We create building level damage assessments by training and then running an AI model on the post-disaster imagery. The AI model predicts whether each footprint in the imagery is "building", "damaged", or "unknown" (i.e. cloudy). We use Overture Maps and Google building footprints which represent the state on the ground pre-event and distribute the resulting data as a vector file GeoPackage with the following per-footprint attributes: - `id` – the Overture Maps unique ID for each footprint. - `damaged` – 1 if the building is damaged, else 0. - `unknown` – 1 if the building was covered by clouds/haze/smoke or otherwise unable to be classified, else 0. - `area` – area of the building in sq meters.
satellite imagery by Juan Melo, acquired 2025-08-04 to 2025-08-04, 5.0 cm per pixel, published on OpenAerialMap.
satellite imagery by Juan Melo, acquired 2025-08-05 to 2025-08-05, 6.8 cm per pixel, published on OpenAerialMap.
aircraft imagery by Centro de Estudios POMOTE, acquired 2025-09-13 to 2025-09-13, 6.8 cm per pixel, published on OpenAerialMap.
uav imagery by Fundación Soy Conservación, acquired 2026-04-02 to 2026-04-02, 11.6 cm per pixel, published on OpenAerialMap.
uav imagery by Centro de Estudios POMOTE, acquired 2026-04-16 to 2026-04-17, 5.2 cm per pixel, published on OpenAerialMap.
uav imagery by Centro de Estudios Pomote, acquired 2026-04-24 to 2026-04-24, 5.1 cm per pixel, published on OpenAerialMap.
aircraft imagery by Centro de Estudios POMOTE, acquired 2026-05-13 to 2026-05-13, 4.4 cm per pixel, published on OpenAerialMap.
aircraft imagery by IGAC Emergencia Terremoto 2026, acquired 2026-08-18 to 2026-08-18, 10.0 cm per pixel, published on OpenAerialMap.
satellite imagery by Vantor, acquired 2026-08-19 to 2026-08-19, 46.9 cm per pixel, published on OpenAerialMap.
satellite imagery by IGAC Emergencia Terremoto 2026, acquired 2026-08-26 to 2026-08-26, 10.0 cm per pixel, published on OpenAerialMap.
uav imagery by WebODM, acquired 2025-10-03 to 2025-10-03, 5.4 cm per pixel, published on OpenAerialMap.
aircraft imagery by IGAC Emergencia Terremoto 2026, acquired 2026-08-18 to 2026-08-18, 10.0 cm per pixel, published on OpenAerialMap.
aircraft imagery by INSPECCION INTERNA, acquired 2026-01-05 to 2026-01-05, 35.1 cm per pixel, published on OpenAerialMap.
uav imagery by Jesús Marín, acquired 2026-05-16 to 2026-05-16, 3.4 cm per pixel, published on OpenAerialMap.
uav imagery by HOT, acquired 2026-05-26 to 2026-05-26, 7.1 cm per pixel, published on OpenAerialMap.
satellite imagery by Vantor, acquired 2026-07-21 to 2026-07-21, 46.7 cm per pixel, published on OpenAerialMap.
satellite imagery by Vantor, acquired 2026-08-14 to 2026-08-14, 49.6 cm per pixel, published on OpenAerialMap.
aircraft imagery by IGAC Emergencia Terremoto 2026, acquired 2026-08-18 to 2026-08-18, 10.0 cm per pixel, published on OpenAerialMap.
uav imagery by WebODM, acquired 2025-03-28 to 2025-03-28, 5.1 cm per pixel, published on OpenAerialMap.
uav imagery by HOT, acquired 2026-05-26 to 2026-05-26, 6.9 cm per pixel, published on OpenAerialMap.
uav imagery by HOT, acquired 2026-05-24 to 2026-05-25, 6.5 cm per pixel, published on OpenAerialMap.
uav imagery by HOT, acquired 2026-05-24 to 2026-05-25, 6.4 cm per pixel, published on OpenAerialMap.
uav imagery by HOT, acquired 2026-05-24 to 2026-05-25, 6.5 cm per pixel, published on OpenAerialMap.
uav imagery by WebODM, acquired 2025-03-23 to 2025-03-23, 6.6 cm per pixel, published on OpenAerialMap.
uav imagery by WebODM, acquired 2025-04-27 to 2025-04-27, 2.0 cm per pixel, published on OpenAerialMap.
uav imagery by Ingeniero Jhon Portillo, acquired 2025-05-03 to 2025-05-04, 1.9 cm per pixel, published on OpenAerialMap.
aircraft imagery by Centro de Estudios POMOTE, acquired 2025-07-11 to 2025-07-12, 5.4 cm per pixel, published on OpenAerialMap.