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Assessing the Accuracy of GEDI Data for Canopy Height and Aboveground Biomass Estimates in Mediterranean Forests

Departamento de Tecnología Minera, Topografía y de Estructuras, Escuela Superior y Técnica de Ingenieros de Minas y Escuela de Ingeniería Agraria y Forestal, Universidad de León, Av. de Astorga s/n, Campus de Ponferrada, 24401 Ponferrada, Spain
Center for Global Discovery and Conservation Science, Arizona State University, Hilo, HA 96720, USA
EaRSLab—Earth Remote Sensing Laboratory, University of Évora, 7000-671 Évora, Portugal
Institute of Earth Sciences (ICT), Universidade de Évora, Rua Romão Ramalho, 59, 7002-554 Évora, Portugal
School of Forest Resources and Conservation, University of Florida, P.O. Box 110410, Gainesville, FL 32611, USA
Department of Geographical Sciences, University of Maryland, College Park, MD 20740, USA
Biosciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20707, USA
Forest Research Centre, Instituto Superior de Agronomia (ISA), School of Agriculture, University of Lisbon, Tapada da Ajuda, 1349-017 Lisboa, Portugal
Centro de Iniciativas Empresariais, Fundación CEL, O Palomar s/n, 27004 Lugo, Spain
Author to whom correspondence should be addressed.
Academic Editor: Peter Krzystek
Remote Sens. 2021, 13(12), 2279;
Received: 1 May 2021 / Revised: 4 June 2021 / Accepted: 7 June 2021 / Published: 10 June 2021
(This article belongs to the Special Issue Feature Paper Special Issue on Forest Remote Sensing)
Global Ecosystem Dynamics Investigation (GEDI) satellite mission is expanding the spatial bounds and temporal resolution of large-scale mapping applications. Integrating the recent GEDI data into Airborne Laser Scanning (ALS)-derived estimations represents a global opportunity to update and extend forest models based on area based approaches (ABA) considering temporal and spatial dynamics. This study evaluates the effect of combining ALS-based aboveground biomass (AGB) estimates with GEDI-derived models by using temporally coincident datasets. A gradient of forest ecosystems, distributed through 21,766 km2 in the province of Badajoz (Spain), with different species and structural complexity, was used to: (i) assess the accuracy of GEDI canopy height in five Mediterranean Ecosystems and (ii) develop GEDI-based AGB models when using ALS-derived AGB estimates at GEDI footprint level. In terms of Pearson’s correlation (r) and rRMSE, the agreement between ALS and GEDI statistics on canopy height was stronger in the denser and homogeneous coniferous forest of P. pinaster and P. pinea than in sparse Quercus-dominated forests. The GEDI-derived AGB models using relative height and vertical canopy metrics yielded a model efficiency (Mef) ranging from 0.31 to 0.46, with a RMSE ranging from 14.13 to 32.16 Mg/ha and rRMSE from 38.17 to 84.74%, at GEDI footprint level by forest type. The impact of forest structure confirmed previous studies achievements, since GEDI data showed higher uncertainty in highly multilayered forests. In general, GEDI-derived models (GEDI-like Level4A) underestimated AGB over lower and higher ALS-derived AGB intervals. The proposed models could also be used to monitor biomass stocks at large-scale by using GEDI footprint level in Mediterranean areas, especially in remote and hard-to-reach areas for forest inventory. The findings from this study serve to provide an initial evaluation of GEDI data for estimating AGB in Mediterranean forest. View Full-Text
Keywords: aboveground carbon; forest monitoring; spaceborne LiDAR; data fusion aboveground carbon; forest monitoring; spaceborne LiDAR; data fusion
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MDPI and ACS Style

Dorado-Roda, I.; Pascual, A.; Godinho, S.; Silva, C.A.; Botequim, B.; Rodríguez-Gonzálvez, P.; González-Ferreiro, E.; Guerra-Hernández, J. Assessing the Accuracy of GEDI Data for Canopy Height and Aboveground Biomass Estimates in Mediterranean Forests. Remote Sens. 2021, 13, 2279.

AMA Style

Dorado-Roda I, Pascual A, Godinho S, Silva CA, Botequim B, Rodríguez-Gonzálvez P, González-Ferreiro E, Guerra-Hernández J. Assessing the Accuracy of GEDI Data for Canopy Height and Aboveground Biomass Estimates in Mediterranean Forests. Remote Sensing. 2021; 13(12):2279.

Chicago/Turabian Style

Dorado-Roda, Iván, Adrián Pascual, Sergio Godinho, Carlos A. Silva, Brigite Botequim, Pablo Rodríguez-Gonzálvez, Eduardo González-Ferreiro, and Juan Guerra-Hernández. 2021. "Assessing the Accuracy of GEDI Data for Canopy Height and Aboveground Biomass Estimates in Mediterranean Forests" Remote Sensing 13, no. 12: 2279.

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