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Integrating MODIS-derived indices for eucalyptus stand volume estimation: An evaluation of MODIS gross primary productivity

Rajab Pourrahmati Manizheh, Le Maire Guerric, Baghdadi Nicolas, Alcarde Alvares Clayton, Stape Jose Luiz, Ferraço Scolforo Henrique, Camargo Campoe Otávio, Nouvellon Yann, Guillemot Joannès. 2025. Integrating MODIS-derived indices for eucalyptus stand volume estimation: An evaluation of MODIS gross primary productivity. Frontiers in Remote Sensing, 6:1588387, 19 p.

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Rajab Pourrahmati 2025 Integrating MODIS-Derived Indices for Eucalyptus Stand Volume Estimation An Evaluation of MODIS Gross Primary Production.pdf

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Résumé : Accurate estimates of stand volume dynamics in Eucalyptus plantations is critical for sustainable forest management and wood production. This study investigates the integration of MODIS-derived indices, such as gross primary productivity (GPP), net photosynthesis (PSN) and normalized difference vegetation index (NDVI), with traditional age-based methods to improve stand volume estimation in Eucalyptus plantations. MODIS GPP was first evaluated against flux tower measurements, showing moderate agreement and systematic biases, particularly during periods of highest and lowest productivity in the first years after planting, with an RMSE of 19.65 gC m-2 8day-1 and R2 of 0.38. Multiple linear regression (MLR) and two machine learning models, including random forest (RF) and stochastic gradient boosting (SGB), were used to estimate stand volume by incorporating cumulative MODIS indices (Cgpp, Cpsn and Cndvi) and stand age. The SGB model showed the best performance using the full dataset, including stands aged from 1.6 to 8.4 years, with an RMSE of 22.63 m3 ha-1, an rRMSE of 17.15% and an R2 of 0.90. We showed that including cumulative indices from the first two years of growth significantly improved the model's ability to predict growth dynamics in middle-aged to mature stands. These results highlight the utility of MODIS productivity products for medium to large-scale plantation management, providing scalable and cost-effective monitoring of stand volume.

Mots-clés Agrovoc : Eucalyptus, télédétection, plantation forestière, séquestration du carbone, photosynthèse, cycle du carbone, aménagement forestier, production primaire, modélisation environnementale, peuplement forestier, couverture végétale, indice de végétation, croissance

Mots-clés géographiques Agrovoc : Brésil

Mots-clés libres : Eucalyptus plantations, Volume estimation, MODIS NDVI, MODIS net photosynthesis, MODIS gross primary productivity

Agences de financement hors UE : Centre National d'Etudes Spatiales, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, Instituto de Pesquisas e Estudos Florestais, Centre de Coopération Internationale en Recherche Agronomique pour le Développement

Projets sur financement : (FRA) Terre, Océan, Surfaces Continentales, Atmosphère, (BRA) Programa Cooperativo sobre Produtividade e Fluxos de Carbono e Água em Eucalyptus

Auteurs et affiliations

  • Rajab Pourrahmati Manizheh, INRAE (FRA) - auteur correspondant
  • Le Maire Guerric, CIRAD-PERSYST-UMR Eco&Sols (FRA) ORCID: 0000-0002-5227-958X
  • Baghdadi Nicolas, INRAE (FRA)
  • Alcarde Alvares Clayton, CIRAD-PERSYST-UMR Eco&Sols (FRA)
  • Stape Jose Luiz, UNESP (BRA)
  • Ferraço Scolforo Henrique, Suzano SA (BRA)
  • Camargo Campoe Otávio, UFLA (BRA)
  • Nouvellon Yann, CIRAD-PERSYST-UMR Eco&Sols (FRA) ORCID: 0000-0003-1920-3847
  • Guillemot Joannès, CIRAD-PERSYST-UMR Eco&Sols (FRA) ORCID: 0000-0003-4385-7656

Source : Cirad-Agritrop (https://agritrop.cirad.fr/613247/)

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