Global carbon balance of the forest: satellite-based L-VOD results over the last decade

• Autores: Wigneron, Jean Pierre; Ciais, Philippe; Li, Xiaojun; Brandt, Martin; Canadell, Josep G.; Tian, Feng; Wang, Huan; Bastos, Ana; Fan, Lei; Gatica, Mario Gabriel; Kashyap, Rahul; Liu, Xiangzhuo; Sitch, Stephen; Tao, Shengli; Xiao, Xiangming; Yang, Hui; Espinoza Villar, Jhan Carlo; Frappart, Frederic; Li, Wei; Qin, Yuanwei; De Truchis, Aurélien; Fensholt, Rasmus
• Año de publicación: 2024
• Idioma: inglés
• Tipo de recurso: artículo
• Materia: L-VOD; PASSIVE MICROWAVE; FOREST; BIOMASS; GLOBAL CARBON CYCLE
• Institución: Consejo Nacional de Investigaciones Científicas y Técnicas

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).
Fil: Wigneron, Jean Pierre. Institut National de la Recherche Agronomique; Francia
Fil: Ciais, Philippe. Universite Paris-Saclay ;
Fil: Li, Xiaojun. Centre Nouvelle - Aquitaine Bordeaux ; Instituto National de Recherches Agronomiques, Alimetation Et Environnement;
Fil: Brandt, Martin. Universidad de Copenhagen; Dinamarca
Fil: Canadell, Josep G.. No especifíca;
Fil: Tian, Feng. Wuhan University; China
Fil: Wang, Huan. Peking University; China
Fil: Bastos, Ana. Universitat Technical Zu Munich; Alemania
Fil: Fan, Lei. No especifíca;
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
Fil: Kashyap, Rahul. No especifíca;
Fil: Liu, Xiangzhuo. Institut National de la Recherche Agronomique; Francia
Fil: Sitch, Stephen. University of Exeter; Reino Unido
Fil: Tao, Shengli. Peking University; China
Fil: Xiao, Xiangming. University of Oklahoma; Estados Unidos
Fil: Yang, Hui. Max Planck Institute Of Biochemistry.; Alemania
Fil: Espinoza Villar, Jhan Carlo. No especifíca;
Fil: Frappart, Frederic. Institut National de la Recherche Agronomique; Francia
Fil: Li, Wei. Tsinghua University; China
Fil: Qin, Yuanwei. Oklahoma State University; Estados Unidos
Fil: De Truchis, Aurélien. No especifíca;
Fil: Fensholt, Rasmus. Universidad de Copenhagen; Dinamarca