Dataset Information

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

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.

SUBMITTER: Schepaschenko D

PROVIDER: S-EPMC6787017 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature

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

Schepaschenko Dmitry D Chave Jérôme J Phillips Oliver L OL Lewis Simon L SL Davies Stuart J SJ Réjou-Méchain Maxime M Sist Plinio P Scipal Klaus K Perger Christoph C Herault Bruno B Labrière Nicolas N Hofhansl Florian F Affum-Baffoe Kofi K Aleinikov Alexei A Alonso Alfonso A Amani Christian C Araujo-Murakami Alejandro A Armston John J Arroyo Luzmila L Ascarrunz Nataly N Azevedo Celso C Baker Timothy T Bałazy Radomir R Bedeau Caroline C Berry Nicholas N Bilous Andrii M AM Bilous Svitlana Yu SY Bissiengou Pulchérie P Blanc Lilian L Bobkova Kapitolina S KS Braslavskaya Tatyana T Brienen Roel R Burslem David F R P DFRP Condit Richard R Cuni-Sanchez Aida A Danilina Dilshad D Del Castillo Torres Dennis D Derroire Géraldine G Descroix Laurent L Sotta Eleneide Doff ED d'Oliveira Marcus V N MVN Dresel Christopher C Erwin Terry T Evdokimenko Mikhail D MD Falck Jan J Feldpausch Ted R TR Foli Ernest G EG Foster Robin R Fritz Steffen S Garcia-Abril Antonio Damian AD Gornov Aleksey A Gornova Maria M Gothard-Bassébé Ernest E Gourlet-Fleury Sylvie S Guedes Marcelino M Hamer Keith C KC Susanty Farida Herry FH Higuchi Niro N Coronado Eurídice N Honorio ENH Hubau Wannes W Hubbell Stephen S Ilstedt Ulrik U Ivanov Viktor V VV Kanashiro Milton M Karlsson Anders A Karminov Viktor N VN Killeen Timothy T Koffi Jean-Claude Konan JK Konovalova Maria M Kraxner Florian F Krejza Jan J Krisnawati Haruni H Krivobokov Leonid V LV Kuznetsov Mikhail A MA Lakyda Ivan I Lakyda Petro I PI Licona Juan Carlos JC Lucas Richard M RM Lukina Natalia N Lussetti Daniel D Malhi Yadvinder Y Manzanera José Antonio JA Marimon Beatriz B Junior Ben Hur Marimon BHM Martinez Rodolfo Vasquez RV Martynenko Olga V OV Matsala Maksym M Matyashuk Raisa K RK Mazzei Lucas L Memiaghe Hervé H Mendoza Casimiro C Mendoza Abel Monteagudo AM Moroziuk Olga V OV Mukhortova Liudmila L Musa Samsudin S Nazimova Dina I DI Okuda Toshinori T Oliveira Luis Claudio LC Ontikov Petr V PV Osipov Andrey F AF Pietsch Stephan S Playfair Maureen M Poulsen John J Radchenko Vladimir G VG Rodney Kenneth K Rozak Andes H AH Ruschel Ademir A Rutishauser Ervan E See Linda L Shchepashchenko Maria M Shevchenko Nikolay N Shvidenko Anatoly A Silveira Marcos M Singh James J Sonké Bonaventure B Souza Cintia C Stereńczak Krzysztof K Stonozhenko Leonid L Sullivan Martin J P MJP Szatniewska Justyna J Taedoumg Hermann H Ter Steege Hans H Tikhonova Elena E Toledo Marisol M Trefilova Olga V OV Valbuena Ruben R Gamarra Luis Valenzuela LV Vasiliev Sergey S Vedrova Estella F EF Verhovets Sergey V SV Vidal Edson E Vladimirova Nadezhda A NA Vleminckx Jason J Vos Vincent A VA Vozmitel Foma K FK Wanek Wolfgang W West Thales A P TAP Woell Hannsjorg H Woods John T JT Wortel Verginia V Yamada Toshihiro T Nur Hajar Zamah Shari ZS Zo-Bi Irié Casimir IC

Scientific data 20191010 1

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 ...[more]

PMID: 31601817

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Dataset Information

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

Publications

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

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