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

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

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.

Saved in:
Bibliographic Details
Main Authors: 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
Format: info:eu-repo/semantics/article biblioteca
Language:eng
Subjects:info:eu-repo/classification/Autores/CLIMATIC WATER DEFICIT, info:eu-repo/classification/Autores/FOREST BIOMASS, info:eu-repo/classification/Autores/L-BAND SAR, info:eu-repo/classification/Autores/RANDOM FOREST, info:eu-repo/classification/Autores/TEXTURE ANÁLISIS, info:eu-repo/classification/Autores/YUCATAN PENINSULA, info:eu-repo/classification/cti/2, info:eu-repo/classification/cti/24, info:eu-repo/classification/cti/2417, info:eu-repo/classification/cti/241715,
Online Access:http://cicy.repositorioinstitucional.mx/jspui/handle/1003/1884
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://cicy.repositorioinstitucional.mx/jspui/handle/1003/1884

Similar Items