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

Dmitry Schepaschenko Jérôme Chave 1 Oliver Phillips Simon Lewis Stuart Davies 2 Maxime Réjou-Méchain 3 Plinio Sist 4 Klaus Scipal 5 Christoph Perger Bruno Hérault 6 Nicolas Labrière 7 Florian Hofhansl Kofi Affum-Baffoe 8 Alexei Aleinikov Alfonso Alonso 9 Christian Amani Alejandro Araujo-Murakami 10 John Armston 11 Luzmila Arroyo 12 Nataly Ascarrunz 13 Celso Azevedo 14 Timothy Baker Radomir Bałazy Caroline Bedeau 15 Nicholas Berry Andrii Bilous Svitlana Yu. Bilous Pulcherie Bissiengou 16 Lilian Blanc 4 Kapitolina Bobkova Tatyana Braslavskaya Roel Brienen 17 David Burslem Richard Condit Aida Cuni-Sanchez 18 Dilshad Danilina Dennis del Castillo Torres Géraldine Derroire 7 Laurent Descroix 19 Eleneide Doff Sotta 20 Marcus D’oliveira Christopher Dresel Terry Erwin Mikhail Evdokimenko Jan Falck Ted Feldpausch Ernest Foli Robin Foster Steffen Fritz 21 Antonio Damian Garcia-Abril Aleksey Gornov Maria Gornova Ernest Gothard-Bassébé Sylvie Gourlet-Fleury 4 Marcelino Guedes 22 Keith Hamer Farida Herry Susanty 23 Niro Higuchi 24 Eurídice Coronado Wannes Hubau 25 Stephen Hubbell Ulrik Ilstedt 26 Viktor Ivanov Milton Kanashiro 20 Anders Karlsson 27 Viktor Karminov Timothy Killeen Jean-Claude Konan Koffi Maria Konovalova Florian Kraxner 28 Jan Krejza Haruni Krisnawati 23 Leonid Krivobokov Mikhail Kuznetsov 29 Ivan Lakyda Petro Lakyda Juan Carlos Licona 13 Richard Lucas 30 Natalia Lukina Daniel Lussetti Yadvinder Malhi 31 José Antonio Manzanera Beatriz Marimon Ben Hur Marimon Junior 32 Rodolfo Vasquez Martinez Olga Martynenko Maksym Matsala Raisa Matyashuk Lucas Mazzei 20 Herve Memiaghe 16 Casimiro Mendoza 33 Abel Monteagudo Mendoza Olga Moroziuk Liudmila Mukhortova Samsudin Musa Dina Nazimova Toshinori Okuda Luis Claudio Oliveira Petr Ontikov Andrey Osipov Stephan Pietsch 34 Maureen Playfair John Poulsen Vladimir Radchenko 35 Kenneth Rodney Andes Rozak 4 Ademir Ruschel Ervan Rutishauser 36 Linda See 21 Maria Shchepashchenko Nikolay Shevchenko Anatoly Shvidenko Marcos Silveira 37 James Singh Bonaventure Sonké 38 Cintia Souza Krzysztof Stereńczak Leonid Stonozhenko Martin Sullivan 39 Justyna Szatniewska Hermann Taedoumg 40 Hans ter Steege 41 Elena Tikhonova Marisol Toledo 13 Olga Trefilova Ruben Valbuena Luis Valenzuela Gamarra 12 Sergey Vasiliev Estella Vedrova Sergey Verhovets Edson Vidal 42 Nadezhda Vladimirova Jason Vleminckx 43 Vincent Vos Foma Vozmitel Wolfgang Wanek Thales West Hannsjorg Woell John Woods Verginia Wortel 44 Toshihiro Yamada 45 Zamah Shari Nur Hajar Irié Casimir Zo-Bi
1 EDB - Evolution et Diversité Biologique
2 Smithsonian Tropical Research Institute
3 UMR AMAP - Botanique et Modélisation de l'Architecture des Plantes et des Végétations
4 UPR Forêts et Sociétés - Forêts et Sociétés
5 ESTEC - European Space Research and Technology Centre
6 CGP - Commissariat général du Plan
7 AgroParisTech
8 Mensurat Unit
9 Smithsonian Conservation Biology Institute
10 UAGRM - Universidad Autonoma Gabriel René Moreno
11 University of Maryland [College Park]
12 Missouri Botanical Garden (USA)
13 IBIF - Instituto Boliviano de Investigacion Forestal
14 UFES - Universidade Federal do Espírito Santo
15 ONF - Direction régionale de la Guyane [Cayenne]
16 CENAREST - Centre national de la recherche scientifique et technologique
17 School of Geography [Leeds]
18 Dept Geog
19 ONF - Office National des Forêts
20 Embrapa - Brazilian Agricultural Research Corporation
21 IIASA - International Institute for Applied Systems Analysis [Laxenburg]
22 Embrapa Amapa
23 FORDA - Forestry Research and Development Agency
24 Instituto Nacional de Pequisas da Amazônia
25 RMCA - Royal Museum for Central Africa [Tervuren]
26 Department of Forest Ecology and Management
27 Laboratoire de Mathématiques de Neuchâtel
28 IIASA - International Institute for Applied Systems Analysis
29 MIPT - Moscow Institute of Physics and Technology [Moscow]
30 DGES - Department of Geography and Earth Sciences
31 Environmental Change Institute
32 UFMT - Universidade Federal do Mato Grosso
33 Instituto de Manejo Forestal
34 Institute of Silviculture, Department of Forest and Soil Sciences
35 IEE - Institute for Evolutionary Ecology
36 CarboForExpert
37 UFAC - Universidade Federal do Acre
38 ULB - Université libre de Bruxelles
39 University of Leeds
40 University of Yaoundé [Cameroun]
41 Naturalis Biodiversity Center [Leiden]
42 Escola Superior de Agricultura Luiz de Queiroz
43 IB - Department of Integrative Biology [Berkeley]
44 Biodiversity Department
45 Graduate School of Integrated Arts and Sciences
Abstract : 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.
Keywords : Canopy Forest biomass Forest Observation System (FOS)
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Submitted on : Tuesday, October 15, 2019 - 10:33:52 AM
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Dmitry Schepaschenko, Jérôme Chave, Oliver Phillips, Simon Lewis, Stuart Davies, et al.. The Forest Observation System, building a global reference dataset for remote sensing of forest biomass. Scientific Data , Nature Publishing Group, 2019, 6 (1), ⟨10.1038/s41597-019-0196-1⟩. ⟨hal-02316194⟩

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