Retrieval of columnar water vapor from hyperspectral remote sensed data

Alessandro Barducci; Donatella Guzzi; Paolo Marcoionni; Ivan Pippi

doi:10.1117/12.463048

18 April 2003 Retrieval of columnar water vapor from hyperspectral remote sensed data

Alessandro Barducci, Donatella Guzzi, Paolo Marcoionni, Ivan Pippi

Proceedings Volume 4882, Remote Sensing of Clouds and the Atmosphere VII; (2003) https://doi.org/10.1117/12.463048
Event: International Symposium on Remote Sensing, 2002, Crete, Greece

Abstract

Atmospheric water vapor is important for many scientific domains because it is one of the most effective greenhouse gases in the atmosphere. In the context of Earth remote sensing the expected water vapor abundance is used mainly to remove one of the most important effects of atmosphere on the at-sensor radiance: the formation of absorption bands. In this paper we present a new algorithm for the retrieval of columnar (integrated) water vapor content based on a spectroscopic approach. In particular, the proposed technique analyses the H₂O absorption feature centred at about 940 nm. We also present some numerical calculation based on the MODTRAN 4 radiative transfer model and the HITRAN 2000 database as source of H₂O cross-section spectra. Some experimental results are derived from radiometrically calibrated images acquired by the AVIRIS sensor.

Citation Download Citation

Alessandro Barducci, Donatella Guzzi, Paolo Marcoionni, and Ivan Pippi "Retrieval of columnar water vapor from hyperspectral remote sensed data", Proc. SPIE 4882, Remote Sensing of Clouds and the Atmosphere VII, (18 April 2003); https://doi.org/10.1117/12.463048

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