The Forest Observation System, building a global reference dataset for remote sensing of forest biomass
Copyright policy )The Forest Observation System, building a global reference dataset for remote sensing of forest biomass
AbstractForest 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.
- University of Queensland Australia
- University of Leeds United Kingdom
- Vrije Universiteit Amsterdam Netherlands
- Instituto de Investigaciones de la Amazonía Peruana Peru
- Czech Academy of Sciences Czech Republic
DYNAMICS, Monitoreo de bosques, Data Descriptor, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, 550, QH301 Biology, DIVERSITY, Biomasa, SDG 7 – Bezahlbare und saubere Energie, Forests, 1710 Information Systems, 551, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, 630, biomasse aérienne des arbres, Forest Observation System (FOS), CARBON STORAGE, K01 - Foresterie - Considérations générales, Teledetección, [SDV.EE.ECO] Life Sciences [q-bio]/Ecology, environment/Ecosystems, SDG 13 - Climate Action, NETWORK, Biomass, 2613 Statistics and Probability, 106026 Ecosystem research, SDG 15 - Life on Land, 106022 Mikrobiologie, Statistics, Evaluación de los recursos forestales, Phylogenetics and taxonomy, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, Computer Science Applications, 1804 Statistics, Biogeography, 106026 Ökosystemforschung, Manejo Florestal, SDG 13 – Maßnahmen zum Klimaschutz, Forêt, 106022 Microbiology, P01 - Conservation de la nature et ressources foncières, Statistics, Probability and Uncertainty, SENSITIVITY, environment/Ecosystems, Banque de données, 3304 Education, Information Systems, ABOVEGROUND BIOMASS, Environmental Monitoring, Statistics and Probability, Conservation of Natural Resources, Forest biomass, P40 - Météorologie et climatologie, Télédétection, Ecologia Florestal, Library and Information Sciences, 530, 333, [SDV.BV.BOT] Life Sciences [q-bio]/Vegetal Biology/Botanics, Education, QH301, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, [SDV.BID.SPT] Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, 1706 Computer Science Applications, RATES, SDG 7 - Affordable and Clean Energy, forest ecology, biogeography, atténuation des effets du changement climatique, 580, Canopy, cartographie des fonctions de la forêt, [SDE.BE] Environmental Sciences/Biodiversity and Ecology, Bosque tropical, Earth and Environmental Sciences, DENSITY, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, Remote Sensing Technology, PATTERNS, Probability and Uncertainty, 3309 Library and Information Sciences, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Réchauffement global, Forest ecology, U40 - Méthodes de relevé, agrovoc: agrovoc:c_24833, agrovoc: agrovoc:c_34836, agrovoc: agrovoc:c_1373987680230, agrovoc: agrovoc:c_3062, agrovoc: agrovoc:c_1374571087594, agrovoc: agrovoc:c_1374847637217, agrovoc: agrovoc:c_6498
DYNAMICS, Monitoreo de bosques, Data Descriptor, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, 550, QH301 Biology, DIVERSITY, Biomasa, SDG 7 – Bezahlbare und saubere Energie, Forests, 1710 Information Systems, 551, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, 630, biomasse aérienne des arbres, Forest Observation System (FOS), CARBON STORAGE, K01 - Foresterie - Considérations générales, Teledetección, [SDV.EE.ECO] Life Sciences [q-bio]/Ecology, environment/Ecosystems, SDG 13 - Climate Action, NETWORK, Biomass, 2613 Statistics and Probability, 106026 Ecosystem research, SDG 15 - Life on Land, 106022 Mikrobiologie, Statistics, Evaluación de los recursos forestales, Phylogenetics and taxonomy, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, Computer Science Applications, 1804 Statistics, Biogeography, 106026 Ökosystemforschung, Manejo Florestal, SDG 13 – Maßnahmen zum Klimaschutz, Forêt, 106022 Microbiology, P01 - Conservation de la nature et ressources foncières, Statistics, Probability and Uncertainty, SENSITIVITY, environment/Ecosystems, Banque de données, 3304 Education, Information Systems, ABOVEGROUND BIOMASS, Environmental Monitoring, Statistics and Probability, Conservation of Natural Resources, Forest biomass, P40 - Météorologie et climatologie, Télédétection, Ecologia Florestal, Library and Information Sciences, 530, 333, [SDV.BV.BOT] Life Sciences [q-bio]/Vegetal Biology/Botanics, Education, QH301, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, [SDV.BID.SPT] Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, 1706 Computer Science Applications, RATES, SDG 7 - Affordable and Clean Energy, forest ecology, biogeography, atténuation des effets du changement climatique, 580, Canopy, cartographie des fonctions de la forêt, [SDE.BE] Environmental Sciences/Biodiversity and Ecology, Bosque tropical, Earth and Environmental Sciences, DENSITY, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, Remote Sensing Technology, PATTERNS, Probability and Uncertainty, 3309 Library and Information Sciences, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Réchauffement global, Forest ecology, U40 - Méthodes de relevé, agrovoc: agrovoc:c_24833, agrovoc: agrovoc:c_34836, agrovoc: agrovoc:c_1373987680230, agrovoc: agrovoc:c_3062, agrovoc: agrovoc:c_1374571087594, agrovoc: agrovoc:c_1374847637217, agrovoc: agrovoc:c_6498
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