The Forest Observation System, building a global reference dataset for remote sensing of forest biomass

Schepaschenko Dmitry, Chave Jérôme, Phillips Oliver L., Lewis Simon L., Rejou-Mechain Maxime, Sist Plinio, Scipal Klaus, Perger Christoph, Herault Bruno, Labriere Nicolas, Hofhansl Florian, Affum-Baffoe Kofi, Aleinikov Alexei, Alonso Alfonso, Amani Christian, Araujo-Murakami Alejandro, Armston John, Arroyo Luzmila, Ascarrunz Nataly, Azevedo Celso, Baker Timothy R., Balazy Radomir, Bedeau Caroline, Berry Nicholas, Bilous Andrii M., Bissiengou Pulcherie, Blanc Lilian, Bobkova Kapitolina S., Braslavskaya Tatyana, Brienen Roel, Burslem David F. R. P, Condit Richard, Cuni Sanchez Aida, Danilina Dilshad, del Castillo Torres Dennis, Derroire Géraldine, Descroix Laurent, Doff Sotta Eleneide, d’Oliveira Marcus Vinicio Neves, Dresel Christopher, Erwin Terry, Evdokimenko Mikhail D., Falck Jan, Feldpausch Ted R., Foli Ernest G., Foster Robin, Fritz Steffen, Garcia-Abril Antonio Damian, Gornov Aleksey, Gornov Aleksey, Gothard Bassede Marie Céline, Gourlet Sylvie, et al.. 2019. The Forest Observation System, building a global reference dataset for remote sensing of forest biomass. Scientific Data, 6:198, 11 p.

Url - jeu de données - Entrepôt autre : https://springernature.figshare.com/articles/Metadata_record_for_The_Forest_Observation_System_building_a_global_reference_dataset_for_remote_sensing_of_forest_biomass/9850571

Quartile : Q1, Sujet : MULTIDISCIPLINARY SCIENCES

Résumé : Forest biomass is an essential indicator for monitoring the Earth's ecosystems and climate. It is a critical input to greenhouse gas accounting, estimation of carbon losses and forest degradation, assessment of renewable energy potential, and for developing climate change mitigation policies such as REDD+, among others. Wall-to-wall mapping of aboveground biomass (aGB) is now possible with satellite remote sensing (RS). However, RS methods require extant, up-to-date, reliable, representative and comparable in situ data for calibration and validation. Here, we present the Forest Observation System (FOS) initiative, an international cooperation to establish and maintain a global in situ forest biomass database. aGB and canopy height estimates with their associated uncertainties are derived at a 0.25 ha scale from field measurements made in permanent research plots across the world's forests. all plot estimates are geolocated and have a size that allows for direct comparison with many RS measurements. The FOS offers the potential to improve the accuracy of RS-based biomass products while developing new synergies between the RS and ground-based ecosystem research communities.

Mots-clés Agrovoc : biomasse aérienne des arbres, forêt, cartographie des fonctions de la forêt, réchauffement global, atténuation des effets du changement climatique, télédétection, banque de données

Mots-clés libres : Biogeography, Forest ecology

Classification Agris : K01 - Foresterie - Considérations générales
P01 - Conservation de la nature et ressources foncières
P40 - Météorologie et climatologie
U30 - Méthodes de recherche

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

Auteurs et affiliations

• Schepaschenko Dmitry, International Institute for Applied System Analysis (AUS) - auteur correspondant
• Chave Jérôme, CNRS (FRA)
• Phillips Oliver L., University of Leeds (GBR)
• Lewis Simon L., University of Leeds (GBR)
• Rejou-Mechain Maxime, IRD (FRA)
• Sist Plinio, CIRAD-ES-UPR Forêts et sociétés (FRA)
• Scipal Klaus, Agence spatiale européenne (NLD)
• Perger Christoph, International Institute for Applied System Analysis (AUS)
• Herault Bruno, CIRAD-ES-UPR Forêts et sociétés (CIV) ORCID: 0000-0002-6950-7286
• Labriere Nicolas, Laboratoire Evolution et Diversité Biologique (FRA)
• Hofhansl Florian, International Institute for Applied System Analysis (AUS)
• Affum-Baffoe Kofi, Forestry Commission (GHA)
• Aleinikov Alexei, Russian Academy of Sciences (RUS)
• Alonso Alfonso, Smithsonian Conservation Biology Institute (USA)
• Amani Christian, CIFOR (COD)
• Araujo-Murakami Alejandro, UAGRM (BOL)
• Armston John, University of Maryland (USA)
• Arroyo Luzmila, Museo de Historia Natural Noel Kempff Mercado (BOL)
• Ascarrunz Nataly, IBIF (BOL)
• Azevedo Celso, EMBRAPA (BRA)
• Baker Timothy R., University of Leeds (GBR)
• Balazy Radomir, Forest research institute (POL)
• Bedeau Caroline, ONF (GUF)
• Berry Nicholas, The Landscapes and Livelihoods Group (GBR)
• Bilous Andrii M., National University of Life and Environmental Sciences (UKR)
• Bissiengou Pulcherie, Herbier national du Gabon (GAB)
• Blanc Lilian, CIRAD-ES-UPR Forêts et sociétés (FRA)
• Bobkova Kapitolina S., Komi Scientific Center (RUS)
• Braslavskaya Tatyana, Russian Academy of Sciences (RUS)
• Brienen Roel, University of Leeds (GBR)
• Burslem David F. R. P, University of Aberdeen (GBR)
• Condit Richard, Morton Arboretum (USA)
• Cuni Sanchez Aida, University of York (GBR)
• Danilina Dilshad, Russian Academy of Sciences (RUS)
• del Castillo Torres Dennis, IIAP (PER)
• Derroire Géraldine, CIRAD-ES-UMR Ecofog (GUF) ORCID: 0000-0001-7239-2881
• Descroix Laurent, ONF (GUF)
• Doff Sotta Eleneide, EMBRAPA (BRA)
• d’Oliveira Marcus Vinicio Neves, EMBRAPA (BRA)
• Dresel Christopher, International Institute for Applied System Analysis (AUS)
• Erwin Terry, Smithsonian Institution (USA)
• Evdokimenko Mikhail D., Russian Academy of Sciences (RUS)
• Falck Jan, Swedish University of Agricultural Sciences (SWE)
• Feldpausch Ted R., University of Exeter (GBR)
• Foli Ernest G., FORIG (GHA)
• Foster Robin, The Field Musium (USA)
• Fritz Steffen, International Institute for Applied System Analysis (AUS)
• Garcia-Abril Antonio Damian, UPM (ESP)
• Gornov Aleksey, Russian Academy of Sciences (RUS)
• Gornov Aleksey, Russian Academy of Sciences (RUS)
• Gothard Bassede Marie Céline, ICRA (CAF)
• Gourlet Sylvie, CIRAD-ES-UPR Forêts et sociétés (FRA) ORCID: 0000-0002-1136-4307
• et al.

Source : Cirad-Agritrop (https://agritrop.cirad.fr/593897/)

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