Multi-annual time series of AVHRR-derived land surface temperature
作者： Garik G. Gutman
DOI: 10.1016/0273-1177(94)90187-2
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摘要: Abstract Seven years of daytime sampled Advanced Very High Resolution Radiometer (AVHRR) global data from the NOAA afternoon satellites were analyzed. Surface temperature in cloud-free conditions was derived using a split-window formulation with emissivity dependent upon vegetation cover. Results are demonstrated on diverse land surfaces different climatic conditions. Monthly anomalies satellite-derived surface reasonable agreement those obtained conventional air measurements. Impact satellite orbit drift temperatures is discussed.
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sci-hub.se 参考文章(4)
G GARIKGUTMAN, Monitoring land ecosystems using the NOAA Global Vegetation Index data set Global and Planetary Change. ,vol. 4, pp. 195- 200 ,(1991) , 10.1016/0921-8181(91)90092-B
FRANÇOIS BECKER, ZHAO-LIANG LI, Towards a local split window method over land surfaces International Journal of Remote Sensing. ,vol. 11, pp. 369- 393 ,(1990) , 10.1080/01431169008955028
A.A. Van De Griend, M. Owe, H.F. Vugts, S.D. Prince, F.W. Tesselaar, H.A.R. De Bruin, Collection Of Ground Data For Pixel Scale Parameterization Of Energy Balance Models For Remote Sensing Purposes international geoscience and remote sensing symposium. pp. 1251- 1256 ,(1990) , 10.1109/IGARSS.1990.688724
Michael P. Weinreb, Gary Hamilton, Stanley Brown, Ronald J. Koczor, Nonlinearity corrections in calibration of advanced very high resolution radiometer infrared channels Journal of Geophysical Research. ,vol. 95, pp. 7381- 7388 ,(1990) , 10.1029/JC095IC05P07381