Título

Improving aboveground biomass maps of tropical dry forests by integrating LiDAR, ALOS PALSAR, climate and field data

Autor

JOSE LUIS HERNANDEZ STEFANONI

MIGUEL ANGEL CASTILLO SANTIAGO

Jean Francois Mas

Charlotte Wheeler

Juan Andrés Mauricio

Fernando de Jesús Tun Dzul

STEPHANIE PATRICIA GEORGE CHACON

GABRIELA REYES PALOMEQUE

BLANCA GUADALUPE CASTELLANOS BASTO

Raúl Vaca

JUAN MANUEL DUPUY RADA

Nivel de Acceso

Acceso Abierto

Referencia de datos

datasetDOI/10.1186/s13021-020-00151-6

Resumen o descripción

Reliable information about the spatial distribution of aboveground biomass (AGB) in tropical forests is fundamental for climate change mitigation and for maintaining carbon stocks. Recent AGB maps at continental and national scales have shown large uncertainties, particularly in tropical areas with high AGB values. Errors in AGB maps are linked to the quality of plot data used to calibrate remote sensing products, and the ability of radar data to map high AGB forest. Here we suggest an approach to improve the accuracy of AGB maps and test this approach with a case study of the tropical forests of the Yucatan peninsula, where the accuracy of AGB mapping is lower than other forest types in Mexico. To reduce the errors in field data, National Forest Inventory (NFI) plots were corrected to consider small trees. Temporal differences between NFI plots and imagery acquisition were addressed by considering biomass changes over time. To overcome issues related to saturation of radar backscatter, we incorporate radar texture metrics and climate data to improve the accuracy of AGB maps. Finally, we increased the number of sampling plots using biomass estimates derived from LiDAR data to assess if increasing sample size could improve the accuracy of AGB estimates.

Fecha de publicación

2020

Tipo de publicación

Artículo

Versión de la publicación

Versión publicada

Formato

application/pdf

Fuente

Carbon balance and management, 15(1), 1-17.

Idioma

Inglés

Relación

&

Dupuy, J. M. (2020). Improving aboveground biomass maps of tropical dry forests by integrating LiDAR, ALOS PALSAR, climate and field data. Carbon balance and management, 15(1), 1-17.

Sugerencia de citación

Hernández-Stefanoni, J. L., Castillo-Santiago, M. Á., Mas, J. F., Wheeler, C. E., Andres-Mauricio, J., Tun-Dzul, F., ...

Repositorio Orígen

Repositorio Institucional CICY

Descargas

187

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