DocumentCode :
1009529
Title :
Land Surface Temperature From the Advanced Along-Track Scanning Radiometer: Validation Over Inland Waters and Vegetated Surfaces
Author :
Coll, César ; Hook, Simon J. ; Galve, Joan M.
Author_Institution :
Dept. of Earth Phys. & Thermodynamics, Univ. of Valencia, Burjassot
Volume :
47
Issue :
1
fYear :
2009
Firstpage :
350
Lastpage :
360
Abstract :
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 resolutions of 0.5deg times 0.5deg. Since the validation sites are smaller than this, they are misclassified in the LST product and treated incorrectly despite the fact that the higher resolution AATSR data easily resolve the sites. Due to this problem, the coefficients for the correct cover types were manually applied to the AATSR standard brightness temperature at sensor product to obtain the LST for the sites assuming they had been correctly classified. The comparison between the ground-measured and the AATSR-derived LSTs showed an excellent agreement for both sites, with nearly zero average biases and standard deviations les 0.5degC. In order to produce accurate and precise estimates of LST, it is necessary that the land-cover classification is revised and provided at the same resolution as the AATSR data, i.e., 1 km rather than the 0.5deg resolution auxiliary data currently used in the LST product.
Keywords :
lakes; land surface temperature; radiometers; remote sensing; vegetation; AATSR LST algorithm; Advanced Along-Track Scanning Radiometer; CA-NV; Lake Tahoe; Spain; USA; Valencia; brightness temperature; inland waters; land surface temperature; land-cover classification; operational implementation; resolution auxiliary data; rice field; split-window technique; standard deviations; vegetated surfaces; vegetation-cover fraction; wavelength 11 mum; wavelength 12 mum; Advanced Along-Track Scanning Radiometer (AATSR); land surface temperatures (LSTs); split window; validation;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2008.2002912
Filename :
4689347
Link To Document :
بازگشت