Modeling of the Forest Carbon Sink and the Atmospheric CO2 Contents with Hyperion Data in Diff erent Environments in the Brazilian Amazon
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Abstract
This study analyzed the concentration and fl ux of carbon dioxide of micrometeorological towers through the model
of forestry carbon sink called CO2fl ux and validated this modeling using the ICO2 index in diff erent landscapes in the
Amazon. In the study, 21 hyperspectral images obtained by the Hyperion/EO-1 were used. The instrument acquires data
in 242 spectral bands at wavelengths from 0.4 to 2.5 µm, with a spatial resolution of 30 meters. The CO2fl ux measures
the effi ciency of carbon sink by the vegetation. To determine it, the integration of two vegetation indices, i.e., NDVI
with sPRI. The ICO
2 is determined by the intensity of the gas absorption feature centered at 2.0 µm. The results make
reference to the statistical relationships between the information obtained from the application of CO2fl ux model and the fi eld concentration (ppm) and CO2 fl ux (mol.m-2.s-1) and indicate that the CO2fl ux can be used with both concentration
and stream data. The best fi ttings for the CO2fl ux were presented for the association with fl ux data (mol.m-2.s-1), while
for the analyzes from the footprint better results were observed for the association between the spectral data and the
measures of CO
2 concentration (ppm) at the top of the tower. In conclusion, the ICO2 index was effi cient to validate the
model of forest carbon sink for natural and anthropic environments and was correlated with the data from the towers
installed in the Brazilian Amazon.
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