Mostrar el registro sencillo del ítem
dc.contributor.author
Wigneron, Jean Pierre
dc.contributor.author
Ciais, Philippe
dc.contributor.author
Li, Xiaojun
dc.contributor.author
Brandt, Martin
dc.contributor.author
Canadell, Josep G.
dc.contributor.author
Tian, Feng
dc.contributor.author
Wang, Huan
dc.contributor.author
Bastos, Ana
dc.contributor.author
Fan, Lei
dc.contributor.author
Gatica, Mario Gabriel
dc.contributor.author
Kashyap, Rahul
dc.contributor.author
Liu, Xiangzhuo
dc.contributor.author
Sitch, Stephen
dc.contributor.author
Tao, Shengli
dc.contributor.author
Xiao, Xiangming
dc.contributor.author
Yang, Hui
dc.contributor.author
Espinoza Villar, Jhan Carlo
dc.contributor.author
Frappart, Frederic
dc.contributor.author
Li, Wei
dc.contributor.author
Qin, Yuanwei
dc.contributor.author
De Truchis, Aurélien
dc.contributor.author
Fensholt, Rasmus
dc.date.available
2025-07-22T09:51:19Z
dc.date.issued
2024-05
dc.identifier.citation
Wigneron, Jean Pierre; Ciais, Philippe; Li, Xiaojun; Brandt, Martin; Canadell, Josep G.; et al.; Global carbon balance of the forest: satellite-based L-VOD results over the last decade; Frontiers Media; Frontiers in Remote Sensing; 5; 5-2024; 1-15
dc.identifier.issn
2673-6187
dc.identifier.uri
http://hdl.handle.net/11336/266734
dc.description.abstract
Monitoring forest carbon (C) stocks is essential to better assess their role in the global carbon balance, and to better model and predict long-term trends and inter-annual variability in atmospheric CO2 concentrations. On a national scale, national forest inventories (NFIs) can provide estimates of forest carbon stocks, but these estimates are only available in certain countries, are limited by time lags due to periodic revisits, and cannot provide spatially continuous mapping of forests. In this context, remote sensing offers many advantages for monitoring above-ground biomass (AGB) on a global scale with good spatial (50–100 m) and temporal (annual) resolutions. Remote sensing has been used for several decades to monitor vegetation. However, traditional methods of monitoring AGB using optical or microwave sensors are affected by saturation effects for moderately or densely vegetated canopies, limiting their performance. Low-frequency passive microwave remote sensing is less affected by these saturation effects: saturation only occurs at AGB levels of around 400 t/ha at L-band (frequency of around 1.4 GHz). Despite its coarse spatial resolution of the order of 25 km × 25 km, this method based on the L-VOD (vegetation optical depth at L-band) index has recently established itself as an essential approach for monitoring annual variations in forest AGB on a continental scale. Thus, L-VOD has been applied to forest monitoring in many continents and biomes: in the tropics (especially in the Amazon and Congo basins), in boreal regions (Siberia, Canada), in Europe, China, Australia, etc. However, no reference study has yet been published to analyze L-VOD in detail in terms of capabilities, validation and results. This paper fills this gap by presenting the physical principles of L-VOD calculation, analyzing the performance of L-VOD for monitoring AGB and reviewing the main applications of L-VOD for tracking the carbon balance of global vegetation over the last decade (2010–2019).
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Frontiers Media
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
L-VOD
dc.subject
PASSIVE MICROWAVE
dc.subject
FOREST
dc.subject
BIOMASS
dc.subject
GLOBAL CARBON CYCLE
dc.subject.classification
Ecología
dc.subject.classification
Ciencias Biológicas
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Global carbon balance of the forest: satellite-based L-VOD results over the last decade
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2025-07-15T11:02:56Z
dc.journal.volume
5
dc.journal.pagination
1-15
dc.journal.pais
Estados Unidos
dc.description.fil
Fil: Wigneron, Jean Pierre. Institut National de la Recherche Agronomique; Francia
dc.description.fil
Fil: Ciais, Philippe. Universite Paris-Saclay ;
dc.description.fil
Fil: Li, Xiaojun. Centre Nouvelle - Aquitaine Bordeaux ; Instituto National de Recherches Agronomiques, Alimetation Et Environnement;
dc.description.fil
Fil: Brandt, Martin. Universidad de Copenhagen; Dinamarca
dc.description.fil
Fil: Canadell, Josep G.. No especifíca;
dc.description.fil
Fil: Tian, Feng. Wuhan University; China
dc.description.fil
Fil: Wang, Huan. Peking University; China
dc.description.fil
Fil: Bastos, Ana. Universitat Technical Zu Munich; Alemania
dc.description.fil
Fil: Fan, Lei. No especifíca;
dc.description.fil
Fil: Gatica, Mario Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Centro de Investigaciones de la Geosfera y Biosfera. Universidad Nacional de San Juan. Facultad de Ciencias Exactas Físicas y Naturales. Centro de Investigaciones de la Geosfera y Biosfera; Argentina. Universidad Nacional de San Juan. Facultad de Ciencias Exactas Físicas y Naturales. Departamento de Biología; Argentina
dc.description.fil
Fil: Kashyap, Rahul. No especifíca;
dc.description.fil
Fil: Liu, Xiangzhuo. Institut National de la Recherche Agronomique; Francia
dc.description.fil
Fil: Sitch, Stephen. University of Exeter; Reino Unido
dc.description.fil
Fil: Tao, Shengli. Peking University; China
dc.description.fil
Fil: Xiao, Xiangming. University of Oklahoma; Estados Unidos
dc.description.fil
Fil: Yang, Hui. Max Planck Institute Of Biochemistry.; Alemania
dc.description.fil
Fil: Espinoza Villar, Jhan Carlo. No especifíca;
dc.description.fil
Fil: Frappart, Frederic. Institut National de la Recherche Agronomique; Francia
dc.description.fil
Fil: Li, Wei. Tsinghua University; China
dc.description.fil
Fil: Qin, Yuanwei. Oklahoma State University; Estados Unidos
dc.description.fil
Fil: De Truchis, Aurélien. No especifíca;
dc.description.fil
Fil: Fensholt, Rasmus. Universidad de Copenhagen; Dinamarca
dc.journal.title
Frontiers in Remote Sensing
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.frontiersin.org/articles/10.3389/frsen.2024.1338618/full
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.3389/frsen.2024.1338618
Archivos asociados