Analysis of Vegetation Optical Depth and Soil Moisture Retrieved by SMOS Over Tropical Forests

Analysis of Vegetation Optical Depth and Soil Moisture Retrieved by SMOS Over Tropical Forests

In this letter, the results obtained with the last version (level 2, version 650) of SMOS retrieval algorithm are compared against independent measurements, over tropical forests. In particular, the climate research unit meteorological variables and data bases of forest height and forest biomass are...

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Veröffentlicht in:IEEE geoscience and remote sensing letters 2019-04, Vol.16 (4), p.504-508
Hauptverfasser: Vittucci, Cristina, Ferrazzoli, Paolo, Kerr, Yann H., Richaume, Philippe, Vaglio Laurin, Gaia, Guerriero, Leila
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Biomass
Biomedical optical imaging
Correlation
Environmental Sciences
Forest biomass
Forestry
Forests
Height
Optical analysis
Rain
Rainfall
SMOS
Soil
Soil moisture
soil moisture (SM)
South America
Trends
Tropical climate
Tropical forests
Vegetation
Vegetation mapping
vegetation optical depth (VOD)
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Beschreibung
Zusammenfassung:In this letter, the results obtained with the last version (level 2, version 650) of SMOS retrieval algorithm are compared against independent measurements, over tropical forests. In particular, the climate research unit meteorological variables and data bases of forest height and forest biomass are considered. Comparisons with results obtained by AMSR-2 under similar conditions are also illustrated. Vegetation optical depth shows a generally good correlation with forest height and forest biomass, particularly in Africa and South America. Spatial and temporal trends of retrieved soil moisture follow trends of rainfall, particularly in regions of dry winter.
ISSN:1545-598X
1558-0571
DOI:10.1109/LGRS.2018.2878359