Technology and Methodology |
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The Relationship Between Inter-annual Variations of Land Surface
Temperature and Climate Factors in the Yangtze River Delta |
XU Yong-ming 1, 2, QIN Zhi-hao 1,3, SHEN Yan 4 |
1.International Institute for Earth System Sciences, Nanjing University, Nanjing 210093, China;2.School of Remote Sensing, Nanjing University of Information Science & Technology, Nanjing 210044, China;3.Institute of Natural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China;4.National Meteorological Information Center , Beijing 100081, China |
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Abstract With the Yangtze River delta as the study area, this paper quantitatively analyzed the temporal responses of land
surface temperature annual variability to climate factors based on MODIS LST products and meteorological observation data. First,
the Harmonic Analysis of Time Series (HANTS) algorithm was employed to distill LST harmonics (periodical fluctuation characters)
and reconstruct cloud-free LST time-series. The solar radiation of the study area was calculated and its impact on LST inter-
annual was investigated by time lag cross-correlation analysis. The high correlation coefficient (mean coefficient is 0.991 6)
indicates the sensitivity of LST seasonal variations to solar radiance, and lag days show that the peak time of LST is about 20
days later than solar radiance. The analysis between the inter-annual variations of land surface temperature and air temperature
shows that air temperature has significant correlations with LST and the air temperature delays about 5 days relative to LST
seasonal fluctuation.
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Keywords
Small satellite
Remote sensing
Cyber Beijing
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Issue Date: 22 March 2010
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