SMOS vegetation optical depth and ecosystem functional properties: Exploring 
their relationships in tropical forests

Vaglio Laurin, G.; Vittucci, C.; Tramontana, G.; Bodesheim, Paul; Ferrazzoli, P.; Guerriero, L.; Jung, Martin; Mahecha, Miguel D.; Papale, D.

doi:10.1109/IGARSS.2018.8517969

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SMOS vegetation optical depth and ecosystem functional properties: Exploring their relationships in tropical forests

MPS-Authors

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Bodesheim, Paul
Empirical Inference of the Earth System, Dr. Miguel D. Mahecha, Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

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Jung, Martin
Global Diagnostic Modelling, Dr. Martin Jung, Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

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Mahecha, Miguel D.
Empirical Inference of the Earth System, Dr. Miguel D. Mahecha, Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

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引用

Vaglio Laurin, G., Vittucci, C., Tramontana, G., Bodesheim, P., Ferrazzoli, P., Guerriero, L., Jung, M., Mahecha, M. D., & Papale, D. (2018). SMOS vegetation optical depth and ecosystem functional properties: Exploring their relationships in tropical forests. In IEEE International Geoscience and Remote Sensing Symposium 2018 (pp. 5891-5894).

引用: https://hdl.handle.net/21.11116/0000-0002-F7CF-F

要旨

Data from the Soil Moisture and Ocean Salinity (SMOS) mission were exploited to explore its potential in providing ecosystem information. Here the strength of an innovative relationship, between SMOS V620 algorithm data and Ecosystem Functional Properties (EFPs) derived from flux towers data, was preliminary investigated for Africa and South America forests. Correlation was also explored for above ground forest biomass. High correlation values were found between SMOS vegetation optical depth (VOD) and a AGB reference map, and with EFPs at year level (2014). Different VOD-EFPs trends were found for different latitudinal belts, characterizing wet and dry forests. The results suggest that SMOS VOD data represent a tool able to provide repeated information on forest biomass and forest processes in tropical and subtropical ranges.