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Retrieval of Land Surface Temperature Diurnal Cycle Model Parameters from Kalpana-1 Vhrr Data Over India : Volume Xl-8, Issue 1 (28/11/2014)

By Shah, D. B.

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Book Id: WPLBN0004016323
Format Type: PDF Article :
File Size: Pages 4
Reproduction Date: 2015

Title: Retrieval of Land Surface Temperature Diurnal Cycle Model Parameters from Kalpana-1 Vhrr Data Over India : Volume Xl-8, Issue 1 (28/11/2014)  
Author: Shah, D. B.
Volume: Vol. XL-8, Issue 1
Language: English
Subject: Science, Isprs, International
Collections: Periodicals: Journal and Magazine Collection, Copernicus Publications
Historic
Publication Date:
2014
Publisher: Copernicus Publications, Göttingen, Germany
Member Page: Copernicus Publications

Citation

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Gujrati, A., Trivedi, H. J., Shah, D. B., Singh, R. P., & Pandya, M. R. (2014). Retrieval of Land Surface Temperature Diurnal Cycle Model Parameters from Kalpana-1 Vhrr Data Over India : Volume Xl-8, Issue 1 (28/11/2014). Retrieved from http://hawaiilibrary.net/


Description
Description: N. V. Patel college of Pure and Applied Sciences, Vallabh Vidyanagar, 388120, Gujarat, India. Land Surface Temperature (LST) is an important parameter in the land surface processes on regional and global scale. The Land Surface Temperature Diurnal (LSTD) cycle of different land cover is an excellent indicator of the surface processes and their interaction with planetary boundary layer. The Kalpana-1 very high resolution radiometer (VHRR) LST product is available with 30 minute spatial resolution and 0.1 degree temporal resolution. A study was carried out with an objective to determine the LSTD parameters directly from K1-VHRR monthly averaged LST observations over Indian landmass. In this analysis, a harmonic function is fitted to LSTD from the K1-VHRR observations, where cosine term describing the effect of sun and exponential term represents decay of LST during nighttime. Using LSTD parameters, one can directly know the temperature amplitude, residual temperature and time of maximum temperature for each pixel. The LSTD parameters fitting accuracy in root mean square error (RMSE) and coefficient of determination (R2) ranges between 0.5–2.5 K and 0.90–0.99 respectively for most of the pixels over Indian landmass. These LSTD parameters may bring new insight for estimation of thermal inertia and also useful in cloud screening algorithms.

Summary
Retrieval of Land Surface Temperature Diurnal Cycle model parameters from Kalpana-1 VHRR data over India

 

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