Retrieval of precipitable water using ADEOS-II/GLI near infrared data

Makoto Kuji; Nobuyuki Kikuchi; Akihiro Uchiyama

doi:10.1117/12.578685

30 December 2004 Retrieval of precipitable water using ADEOS-II/GLI near infrared data

Makoto Kuji, Nobuyuki Kikuchi, Akihiro Uchiyama

Proceedings Volume 5652, Passive Optical Remote Sensing of the Atmosphere and Clouds IV; (2004) https://doi.org/10.1117/12.578685
Event: Fourth International Asia-Pacific Environmental Remote Sensing Symposium 2004: Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2004, Honolulu, Hawai'i, United States

Abstract

Retrieval of vertically integrated water vapor amount (precipitable water) is proposed using near infrared channels of Global Imager onboard Advanced Earth Observing Satellite-II (GLI/ADEOS-II). The principle of retrieval algorithm is based upon that adopted with Moderate Resolution Imaging Spectroradiometer (MODIS) onboard Earth Observing System (EOS) satellite series. Simulations were carried out with GLI Signal Simulator (GSS) to calculate the radiance ratio between water vapor absorbing bands and non-absorbing bands. As a result, it is found that for the case of high spectral reflectance background (a bright target) such as the land surface, the calibration curves are sensitive to the precipitable water variation. It turns out that aerosol loading has little influence on the retrieval over a bright target for the aerosol optical thickness less than about 1.0 at 500 nm wavelength. A preliminary analysis of GLI data was also carried out and the retrieved result is discussed. It is also anticipated that simultaneous retrieval of the water vapor amount using GLI data along with other channels will lead to improved accuracy of the determination of surface geophysical properties, such as vegetation, ocean color, and snow and ice, through the better atmospheric correction.

Citation Download Citation

Makoto Kuji, Nobuyuki Kikuchi, and Akihiro Uchiyama "Retrieval of precipitable water using ADEOS-II/GLI near infrared data", Proc. SPIE 5652, Passive Optical Remote Sensing of the Atmosphere and Clouds IV, (30 December 2004); https://doi.org/10.1117/12.578685

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