Estimación de biomasa en herbáceas a partir de datos hiperespectrales, regresión PLS y la transformación continuum removal

  1. Marabel-García, M. 1
  2. Álvarez-Taboada, F. 1
  1. 1 GEOINCA-202. Universidad de León (Ponferrada)
Revista:
Revista de teledetección: Revista de la Asociación Española de Teledetección

ISSN: 1133-0953

Año de publicación: 2014

Número: 42

Páginas: 49-60

Tipo: Artículo

DOI: 10.4995/RAET.2014.2286 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Revista de teledetección: Revista de la Asociación Española de Teledetección

Resumen

El objetivo del estudio fue comparar los resultados de dos métodos para la estimación de la biomasa aérea a partir de datos de espectroradiometría de campo: (i) regresión por mínimos cuadrados parciales (Partial Least Squares Regression, PLSR) y (ii) regresión lineal utilizando los índices Profundidad del Mínimo (Maximum Band Depth, MBD) y Área Sobre el Mínimo (Area Over the Minimum, AOM) como descriptores. En ambos casos se llevó a cabo una previa transformación de los espectros mediante Continuum Removal (CR). Como los resultados empleando PLS (R2=0,920, RMSE=3,622 g/m2) fueron muy similares a los obtenidos con los índices (para AOM: R2=0,915, RMSE=3,615 g/m2), recomendamos los índices derivados del CR puesto que su interpretación es más sencilla que la del PLSR. 

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