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Remote sensing of roof materials: a review on methods, artificial intelligence and knowledge gaps
Percepción remota de materiales de tejados: una revisión de métodos, inteligencia artificial y brechas de conocimiento
DOI:
https://doi.org/10.15446/dyna.v93n241.121933Palabras clave:
roof materials, urban land-cover, remote sensing, hyperspectral imaging, artificial intelligence algorithms (en)materiales de cubiertas, cobertura del suelo urbano, percepción remota, imágenes hiperespectrales, algoritmos de inteligencia artificial (es)
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In recent years, there has been substantial interest in obtaining geospatial information on specific physical characteristics of buildings, such as roof materials, information that is key for estimating property values. However, collecting this data is resource-intensive and requires extensive fieldwork. This review article presents a bibliometric and descriptive analysis of the main trends in the study and mapping of roof materials and urban land covers, whit a focus on indirect methods such as remote sensing. Among the most notable findings is that artificial intelligence algorithms have become the primary tool for processing Earth observation data, and that multiple sensor data integration is one of the most commonly used techniques for data preparation in the study of roof materials. The way forward for remote sensing and urban land cover studies requires, therefore, innovation in the use of emerging technologies to improve identification, classification, and mapping accuracy of urban features and covers.
En los últimos años, ha habido un interés sustancial en obtener información geoespacial sobre características físicas específicas de los edificios, como los materiales de los techos, información clave para estimar valores de propiedad. Sin embargo, recopilar estos datos requiere muchos recursos y un extenso trabajo de campo. Este artículo de revisión presenta un análisis bibliométrico y descriptivo de las principales tendencias en el estudio y mapeo de materiales de techos y coberturas urbanas, con un enfoque en métodos indirectos como la percepción remota. Entre los hallazgos más notables se encuentra que los algoritmos de inteligencia artificial se han convertido en la herramienta principal para procesar datos de observación de la Tierra, y que la integración de datos de múltiples sensores es una de las técnicas más utilizadas para la preparación de datos en el estudio de materiales de techos. El camino por seguir para los estudios de percepción remota y cobertura urbana requiere, por lo tanto, innovación en el uso de tecnologías emergentes para mejorar la identificación, clasificación y precisión del mapeo de características y coberturas urbanas.
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