Título
Effects of sample plot size and GPS location errors on aboveground biomass estimates from LiDAR in tropical dry forests
Autor
JOSE LUIS HERNANDEZ STEFANONI
GABRIELA REYES PALOMEQUE
MIGUEL ANGEL CASTILLO SANTIAGO
STEPHANIE PATRICIA GEORGE CHACON
ASTRID HELENA HUECHACONA RUIZ
Fernando de Jesús Tun Dzul
DINOSCA DULMARY RONDON RIVERA
JUAN MANUEL DUPUY RADA
Nivel de Acceso
Acceso Abierto
Referencia de datos
datasetDOI/10.3390/rs10101586
Materias
Resumen o descripción
Accurate estimates of above ground biomass (AGB) are needed for monitoring carbon in tropical forests. LiDAR data can provide precise AGB estimations because it can capture the horizontal and vertical structure of vegetation. However, the accuracy of AGB estimations from LiDAR is affected by a co-registration error between LiDAR data and field plots resulting in spatial discrepancies between LiDAR and field plot data. Here, we evaluated the impacts of plot location error and plot size on the accuracy of AGB estimations predicted from LiDAR data in two types of tropical dry forests in Yucatán, México. We sampled woody plants of three size classes in 29 nested plots (80 m2, 400 m2 and 1000 m2) in a semi-deciduous forest (Kiuic) and 28 plots in a semi-evergreen forest (FCP) and estimated AGB using local allometric equations. We calculated several LiDAR metrics from airborne data and used a Monte Carlo simulation approach to assess the influence of plot location errors (2 to 10 m) and plot size on ABG estimations from LiDAR using regression analysis. Our results showed that the precision of AGB estimations improved as plot size increased from 80 m2 to 1000 m2 (R2 = 0.33 to 0.75 and 0.23 to 0.67 for Kiuic and FCP respectively). We also found that increasing GPS location errors resulted in higher AGB estimation errors, especially in the smallest sample plots. In contrast, the largest plots showed consistently lower estimation errors that varied little with plot location error. We conclude that larger plots are less affected by co-registration error and vegetation conditions, highlighting the importance of selecting an appropriate plot size for field forest inventories used for estimating biomass.
Fecha de publicación
2018
Tipo de publicación
Artículo
Versión de la publicación
Versión publicada
Recurso de información
Formato
application/pdf
Fuente
Remote Sensing, 10(10), 1586, 2018.
Idioma
Inglés
Relación
&
Dupuy, J. (2018). Effects of Sample Plot Size and GPS Location Errors on Aboveground Biomass Estimates from LiDAR in Tropical Dry Forests. Remote Sensing, 10(10), 1586.
Sugerencia de citación
Hernández-Stefanoni, J., Reyes-Palomeque, G., Castillo-Santiago, M., George-Chacón, S., Huechacona-Ruiz, A., Tun-Dzul, F., ...
Repositorio Orígen
Repositorio Institucional CICY
Descargas
298