Effects of Eucalyptus plantation characteristics and environmental factors on GEDI waveform metrics

Manizheh Rajab Pourrahmati, Le Maire Guerric, Baghdadi Nicolas, Ferraço Scolforo Henrique, Alcarde Alvares Clayton, Stape Jose Luiz, Fayad Ibrahim. 2024. Effects of Eucalyptus plantation characteristics and environmental factors on GEDI waveform metrics. International Journal of Remote Sensing, 45 (11) : 3737-3763.

Liste HCERES des revues (en SHS) : oui

Thème(s) HCERES des revues (en SHS) : Géographie-Aménagement-Urbanisme-Architecture

Résumé : The Global Ecosystem Dynamics Investigation (GEDI) is a high-resolution lidar instrument, facilitating landscape monitoring through forest structure and biomass assessments. Previous research has mainly focused on estimating forest attributes such as height and biomass from GEDI data. In this comprehensive study, we empirically investigate how Eucalyptus plantation characteristics and environmental factors collectively influence GEDI waveform metrics. Using a diverse dataset that includes measurements of canopy height, planting density, foliage characteristics, species composition, understorey presence and environmental conditions such as climate and soil properties, we explore the complex relationships between these attributes and GEDI waveform metrics using a two-step approach that includes assessing the linear relationship between each in-situ parameter and GEDI metrics, and also random forest modelling. Key findings include: 1) While canopy height (Ht) plays a significant role in shaping the GEDI waveform, forest wood volume (Volume), which incorporates height and diameter at breast height (DBH) of the trees and also tree stem density (Ntree/ha), exerts an even greater influence on GEDI metrics, in particular on the waveform extent (WE) and relative heights (RH); 2) The influence of factors such as foliage biomass and wood volume on GEDI waveform varies vertically from the forest floor up to forest top, and the model was more precise to predict the top part of the waveform; 3) No single attribute can solely account for the observed variations in the waveform characteristics, but multiple interactions between different forest and environmental features contribute to the complex patterns in the received waveforms. This research contributes to a deeper understanding of the complex relationships between forest plantation characteristics and GEDI waveform metrics and highlights the need to consider a wide range of forest attributes in the analyse of GEDI waveform to produce more accurate canopy height or volume estimates.

Mots-clés Agrovoc : Eucalyptus, télédétection, plantation forestière, impact sur l'environnement, facteur du milieu, forêt, écosystème forestier, aménagement forestier, conditions météorologiques, couverture végétale, anatomie végétale, biomasse, surveillance de l'environnement, imagerie par satellite

Mots-clés géographiques Agrovoc : Brésil

Mots-clés libres : Lidar, Random Forest, GEDI, Eucalyptus

Agences de financement hors UE : Centre National d'Etudes Spatiales, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement

Projets sur financement : (FRA) Terre, Océan, Surfaces Continentales, Atmosphère

Auteurs et affiliations

• Manizheh Rajab Pourrahmati, INRAE (FRA) - auteur correspondant
• Le Maire Guerric, CIRAD-PERSYST-UMR Eco&Sols (FRA) ORCID: 0000-0002-5227-958X
• Baghdadi Nicolas, INRAE (FRA)
• Ferraço Scolforo Henrique, Suzano SA (BRA)
• Alcarde Alvares Clayton, UNESP (BRA)
• Stape Jose Luiz, UNESP (BRA)
• Fayad Ibrahim, CNRS (FRA)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/610629/)

Métriques

[ Page générée et mise en cache le 2024-10-15 ]