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Cálculo de la biomasa aérea de alerces en pequeñas parcelas utilizando el índice de biomasa LiDAR

  • role： First author第一作者
  • Affiliation：

    Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China

    Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration, Beijing 100091, China

  • Email：dulm@ifrit.ac.cn
  • Introduction：杜黎明，研究方向为多传感器融合及激光雷达数据处理、激光雷达林业应用。E-mail： dulm@ifrit.ac.cn
DU Liming,  
  • role： Corresponding author通信作者
  • Affiliation：

    Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China

    Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration, Beijing 100091, China

  • Email：pangy@ifrit.ac.cn
  • Introduction：庞勇，研究方向为林业遥感机理模型、激光雷达信号处理及其在林业中的应用、森林变化监测及碳汇计量。E-mail： pangy@ifrit.ac.cn
PANG Yong*

resumen

El índice de biomasa LiDAR (LBI, LiDAR Biomass Index) puede calcular la biomasa aérea de árboles individuales basándose en datos LiDAR aéreos, presentando una alta precisión en el cálculo de la biomasa tanto a nivel de árboles individuales como de parcelas pequeñas, aunque su capacidad para mapear la biomasa a gran escala aún no se ha aprovechado plenamente. Este estudio toma como ejemplo el alerce, una especie caducifolia ampliamente plantada en el norte de China, utilizando LBI para calcular la biomasa de cada árbol dentro de parcelas forestales pequeñas, acumulando los datos para obtener la biomasa a escala de la parcela, y validando la precisión del cálculo con datos de encuestas de diseño operativo. Además, se evaluó la generalización de modelos de biomasa de alerce basados en LBI en diferentes áreas y se comparó con el método de regresión basado en métricas LiDAR (LMR). Los resultados muestran que LBI puede calcular la biomasa forestal a escala de pequeñas parcelas con alta precisión, con valores de R² entre 0.86 y 0.80 para diferentes regiones, y un error cuadrático medio relativo (rRMSE) entre 33.51% y 40.23%. La precisión de la biomasa calculada con LBI, basado en la modelización de 35 árboles individuales, es comparable a la del método LMR, que utiliza más de 30 parcelas (con más de 3000 árboles), y LBI muestra una mejor generalización entre la misma especie en diferentes áreas forestales. Este estudio utilizó el modelo AGB_LBI para calcular la biomasa de cada árbol en parcelas pequeñas de la zona occidental del bosque de Mengjiagang y realizó un mapeo de la biomasa del alerce. La distribución de biomasa calculada por LiDAR tiene una tendencia similar a la de los mapas de biomasa basados en encuestas de campo, con alta consistencia a una escala de 20 m×20 m (R²=0.75, RMSE=1.55 t). Este estudio valida la capacidad del método LBI para estimar la biomasa aérea forestal a escala de pequeñas parcelas en un ámbito regional, demostrando su potencial para estimaciones de biomasa forestal a gran escala.

palabra clave

LBI; LiDAR aerotransportado; árbol individual; escala de parcela pequeña; biomasa

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