A multimodal framework for extraction and fusion of satellite images and public health data.
Sci Data
; 11(1): 634, 2024 Jun 15.
Article
en En
| MEDLINE
| ID: mdl-38879585
ABSTRACT
In low- and middle-income countries, the substantial costs associated with traditional data collection pose an obstacle to facilitating decision-making in the field of public health. Satellite imagery offers a potential solution, but the image extraction and analysis can be costly and requires specialized expertise. We introduce SatelliteBench, a scalable framework for satellite image extraction and vector embeddings generation. We also propose a novel multimodal fusion pipeline that utilizes a series of satellite imagery and metadata. The framework was evaluated generating a dataset with a collection of 12,636 images and embeddings accompanied by comprehensive metadata, from 81 municipalities in Colombia between 2016 and 2018. The dataset was then evaluated in 3 tasks including dengue case prediction, poverty assessment, and access to education. The performance showcases the versatility and practicality of SatelliteBench, offering a reproducible, accessible and open tool to enhance decision-making in public health.
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Salud Pública
/
Dengue
/
Imágenes Satelitales
Límite:
Humans
País/Región como asunto:
America do sul
/
Colombia
Idioma:
En
Revista:
Sci Data
Año:
2024
Tipo del documento:
Article
País de afiliación:
Estados Unidos