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Retrieval of columnar water vapor from hyperspectral remote sensed data

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.