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A new technique for remote sensing of aerosol over the land and for atmospheric correction of Earth imagery is developed. It is based on detection of dark surface targets in the blue and red channels, as in previous methods, but uses the 2.1m channel, instead of the 3.75 m for their detection. A 2.1m channel is present on ADEOS OCTS and GLI, and planned on(More)
The Moderate Resolution Imaging Spectroradiometer (MODIS) is an earth-viewing sensor that flies on the Earth Observing System (EOS) Terra and Aqua satellites, launched in 1999 and 2002, respectively. MODIS scans a swath width of 2330 km that is sufficiently wide to provide nearly complete global coverage every two days from a polar-orbiting,(More)
[1] The scattering of solar radiation by cirrus clouds often contaminates aerosol products retrieved from satellite-based measurements using channels located in the visible and near-IR spectral region. Previously, it was demonstrated that a narrow satellite channel located near 1.38 mm is very effective in detecting the high level thin cirrus clouds. In(More)
The Moderate Resolution Imaging SpectroRadiometer (MODIS) on the Terra Spacecraft has a channel near 1.38 m for remote sensing of high clouds from space. The implementation of this channel on MODIS was primarily based on previous analysis of hyperspectral imaging data collected with the Airborne Visible Infrared Imaging Spectrometer (AVIRIS). In this paper,(More)
Ocean color sensors were designed mainly for remote sensing of chlorophyll concentrations over the clear open oceanic areas (Case 1 water) using channels between 0.4–0.86 m. The Moderate Resolution Imaging Spectroradiometer (MODIS) launched on the National Aeronautics and Space Administration Terra and Aqua spacecrafts is equipped with narrow channels(More)
We present here the results of chlorophyll-a (chl-a) concentration estimation using the red and near infrared (NIR) spectral bands of a Hyperspectral Imager for the Coastal Ocean (HICO) in productive turbid waters of the Azov Sea, Russia. During the data collection campaign in the summer of 2010 in Taganrog Bay and the Azov Sea, water samples were collected(More)
Hyperion is a hyperspectral sensor on board NASA’s EO-1 satellite with a spatial resolution of approximately 30 m and a swath width of about 7 km. It was originally designed for land applications, but its unique spectral configuration (430 nm – 2400 nm with a ~10 nm spectral resolution) and high spatial resolution make it attractive for studying complex(More)
A physically based six-channel land algorithm is developed to simultaneously retrieve global soil moisture (SM), vegetation water content (VWC), and land surface temperature. The algorithm is based on maximum-likelihood estimation and uses dual-polarization WindSat passive microwave data at 10, 18.7, and 37 GHz. The global retrievals are validated at(More)