Search results for "AATSR"

Automatic Generation of Land Surface Emissivity Maps

2011

The remote sensing measurement of the land surface temperature (LST) from satellites provides an overview of this magnitude on a continuous and regular basis. The study of its evolution in time and space is a critical factor in many scientific fields such as weather forecasting, detection of forest fires, climate change, etc. The main problem of making this measurement from satellite data is the need to correct the effects of the atmosphere and the land surface emissivity (LSE). Nowadays, these corrections are usually made using a split-window algorithm, which has an explicit dependence on land surface emissivity. Therefore, the aim of our work was to define an enhanced vegetation cover met…

Comparison between different sources of atmospheric profiles for land surface temperature retrieval from single channel thermal infrared data

2012

Abstract Different sources of atmospheric water vapor and temperature profiles were used with a radiative transfer model for retrieving land surface temperature (LST) from thermal infrared remote sensing data with the so-called single channel (SC) method. Retrieved LSTs were compared to concurrent ground measurements over homogeneous rice fields to assess the accuracy of the atmospheric profiles. These included radiosonde balloons launched at the test site near-concurrently to satellite overpasses, re-analysis profiles from the National Centers for Environmental Prediction (NCEP), and satellite sounder products from the Atmospheric Infrared Sounder (AIRS) and the Moderate Imaging Spectrorad…

Land Surface Temperature From the Advanced Along-Track Scanning Radiometer: Validation Over Inland Waters and Vegetated Surfaces

2009

The land surface temperature (LST) product of the Advanced Along-Track Scanning Radiometer (AATSR) was validated with ground measurements at the following two thermally homogeneous sites: Lake Tahoe, CA/NV, USA, and a large rice field close to Valencia, Spain. The AATSR LST product is based on the split-window technique using the 11- and 12- mum channels. The algorithm coefficients are provided for 13 different land-cover classes plus one lake class (index i). Coefficients are weighted by the vegetation-cover fraction (f). In the operational implementation of the algorithm, i and f are assigned from a global classification and monthly fractional vegetation-cover maps with spatial resolution…

Hauptprobleme der Staatsrechtslehre : entwickelt aus der Lehre vom Rechtssatze

1923

Monthly Land Surface Temperature maps over European Zone using Advanced Along Track Scanning Radiometer data for 2007

2009

Land Surface Temperature (LST) monthly maps are necessary in climatic studies and remote sensing is a key tool used to obtain these maps. For this reason, we used the LST product of AATSR on board Envisat. This product uses a split-window algorithm which depends on vertical column water vapour content (W) and viewing angle. The algorithm proposed in Galve et al. [1] was also used, which is based on the Coll and Caselles [2] split-window model and depends explicitly on the emissivity and W. This algorithm was tested with concurrent ground measurements in the Valencia validation site, yielding an error of + 0.5 K. With both algorithms we perform LST maps over Europe with a spatial resolution …