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Método y avances en la inversión espaciotemporal de la información de combustibles forestales múltiples

  • role： First author第一作者
  • Affiliation：

    School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China

  • Email：binbinhe@uestc.edu.cn
  • Introduction：何彬彬，研究方向为定量遥感、森林草原火灾监测预警技术及应用。E-mail：binbinhe@uestc.edu.cn
HE Binbin,  
  • Affiliation：

    School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China

FAN Chunquan,  
  • Affiliation：

    School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China

LI Yanxi,  
  • Affiliation：

    School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China

QUAN Xingwen,  
  • Affiliation：

    School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China

CHEN Rui,  
  • Affiliation：

    School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China

YANG Shuai

resumen

El material combustible forestal es un factor clave que afecta la ocurrencia y el desarrollo de los incendios forestales. La información sobre los combustibles que puede ser monitoreada a gran escala, con alta precisión y de manera dinámica, es crucial para predecir con precisión el riesgo de incendio forestal. La información sobre los combustibles forestales incluye el contenido de humedad del combustible vivo (LFMC), la carga de combustible vivo (LFL), el contenido de humedad del combustible muerto (DFMC) y la carga de combustible muerto (DFL) en el suelo. Los métodos tradicionales de muestreo en el suelo son costosos en tiempo y difíciles de aplicar a gran escala, pero el rápido desarrollo de las técnicas de teledetección espacial ofrece una nueva perspectiva para monitorear dinámicamente la información sobre los combustibles. Sin embargo, las tecnologías de teledetección espacial aún enfrentan problemas como la inversión patológica, la incertidumbre de los parámetros en la interferencia con los parámetros de sensibilidad débil, y la dificultad de capturar con precisión la información sobre los combustibles en el suelo debido a la obstrucción de la cubierta arbórea. Para resolver estos problemas, se propuso por primera vez una teoría y metodología de inversión espaciotemporal para los combustibles forestales complejos, mediante la combinación de varios modelos de transferencia radiativa, considerando los mecanismos de equilibrio térmico-hídrico y teniendo en cuenta los procesos de caída de hojas y descomposición en los ecosistemas, logrando así una inversión de alta precisión de la información sobre los combustibles forestales a nivel coronal y en el suelo, lo que puede proporcionar un soporte de datos sobre los combustibles para la evaluación del riesgo de incendio y la predicción de la propagación de incendios forestales, teniendo una importancia crucial para una prevención precisa y control de incendios forestales.

palabra clave

Combustibles múltiples; contenido de humedad de los combustibles; carga combustible; inversión teledetección; riesgo de incendios forestales

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