Ground data are essential for biomass remote sensing missions

Chave Jérôme, Davies Stuart J., Phillips Oliver L., Lewis Simon L., Sist Plinio, Schepaschenko Dmitry, Armston John, Baker Timothy R., Coomes David A., Disney Mathias, Duncanson Laura, Herault Bruno, Labriere Nicolas, Meyer Victoria, Rejou-Mechain Maxime, Scipal Klaus, Saatchi Sassan. 2019. Ground data are essential for biomass remote sensing missions. Surveys in Geophysics, 40 (4), n.spéc. Forest properties and carbon cycle studies from Earth Observations : 863-880.

Quartile : Q1, Sujet : GEOCHEMISTRY & GEOPHYSICS

Résumé : Several remote sensing missions will soon produce detailed carbon maps over all terrestrial ecosystems. These missions are dependent on accurate and representative in situ datasets for the training of their algorithms and product validation. However, long-term ground-based forest-monitoring systems are limited, especially in the tropics, and to be useful for validation, such ground-based observation systems need to be regularly revisited and maintained at least over the lifetime of the planned missions. Here we propose a strategy for a coordinated and global network of in situ data that would benefit biomass remote sensing missions. We propose to build upon existing networks of long-term tropical forest monitoring. To produce accurate ground-based biomass estimates, strict data quality must be guaranteed to users. It is more rewarding to invest ground resources at sites where there currently is assurance of a long-term commitment locally and where a core set of data is already available. We call these 'supersites'. Long-term funding for such an inter-agency endeavour remains an important challenge, and we here provide costing estimates to facilitate dialogue among stakeholders. One critical requirement is to ensure in situ data availability over the lifetime of remote sensing missions. To this end, consistent guidelines for supersite selection and management are proposed within the Forest Observation System, long-term funding should be assured, and principal investigators of the sites should be actively involved.

Mots-clés Agrovoc : biomasse, télédétection, analyse de données, écologie forestière, cartographie des fonctions de la forêt, séquestration du carbone

Mots-clés libres : Biomass, Calibration, Forest, In situ Data, Validation

Classification Agris : K01 - Foresterie - Considérations générales
F40 - Écologie végétale
U30 - Méthodes de recherche

Champ stratégique Cirad : CTS 1 (2019-) - Biodiversité

Auteurs et affiliations

• Chave Jérôme, CNRS (FRA) - auteur correspondant
• Davies Stuart J., STRI (USA)
• Phillips Oliver L., University of Leeds (GBR)
• Lewis Simon L., University of Leeds (GBR)
• Sist Plinio, CIRAD-ES-UPR Forêts et sociétés (FRA)
• Schepaschenko Dmitry, International Institute for Applied System Analysis (AUS)
• Armston John, University of Maryland (USA)
• Baker Timothy R., University of Leeds (GBR)
• Coomes David A., University of Cambridge (GBR)
• Disney Mathias, University College London (GBR)
• Duncanson Laura, University of Maryland (USA)
• Herault Bruno, CIRAD-ES-UPR Forêts et sociétés (CIV) ORCID: 0000-0002-6950-7286
• Labriere Nicolas, Laboratoire Evolution et Diversité Biologique (FRA)
• Meyer Victoria, NASA (USA)
• Rejou-Mechain Maxime, IRD (FRA)
• Scipal Klaus, Agence spatiale européenne (NLD)
• Saatchi Sassan, California Institute of Technology (USA)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/593896/)

Métriques

[ Page générée et mise en cache le 2024-11-15 ]