Paper
30 October 2009 The characteristics of spatial and temporal variations of land surface temperature in the Yangtze River Delta
Author Affiliations +
Proceedings Volume 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications; 749809 (2009) https://doi.org/10.1117/12.831995
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
Abstract
Land surface temperature (LST) is one of the key parameters in the atmosphere-land energy and water transfers. An understanding of the spatial and temporal variations of land surface temperature is important to broad research fields, including climate, vegetation, hydrology, etc. In this paper, the cloud contamination of MODIS LST product was analyzed first, and showed that there are numerous data gaps in MODIS 8-day composite LST product, indicating the necessity of data interpolation. Then the Harmonic Analysis of Time-Series (HANTS) algorithm was applied to the LST time-series to rebuild cloud-free images and to distill harmonic components. According to the harmonic characters and reconstruct LST, the spatial and temporal variations of land surface temperature in the Yangtze River Delta were studied.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yongming Xu, Zhihao Qin, and Hongxiu Wan "The characteristics of spatial and temporal variations of land surface temperature in the Yangtze River Delta", Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 749809 (30 October 2009); https://doi.org/10.1117/12.831995
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KEYWORDS
MODIS

Vegetation

Analytical research

Climatology

Remote sensing

Composites

Clouds

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