Time series decomposition of remotely sensed land surface temperature and investigation of trends and seasonal variations in surface urban heat islands
文献类型:SCI/SSCI论文
作者 | Quan J. L.; Zhan, W. F.; Chen, Y. H.; Wang, M. J.; Wang, J. F. |
发表日期 | 2016 |
关键词 | remote sensing land surface temperature urban heat island time series decomposition temporal variation climatology split-window algorithm satellite data energy-balance orbital drift humidity differences rural humidity vapor-pressure annual cycle emissivity climate |
英文摘要 | Previous time series methods have difficulties in simultaneous characterization of seasonal, gradual, and abrupt changes of remotely sensed land surface temperature (LST). This study proposed a model to decompose LST time series into trend, seasonal, and noise components. The trend component indicates long-term climate change and land development and is described as a piecewise linear function with iterative breakpoint detection. The seasonal component illustrates annual insolation variations and is modeled as a sinusoidal function on the detrended data. This model is able to separate the seasonal variation in LST from the long-term (including gradual and abrupt) change. Model application to nighttime Moderate Resolution Imaging Spectroradiometer (MODIS)/LST time series during 2000-2012 over Beijing yielded an overall root-mean-square error of 1.62K between the combination of the decomposed trend and seasonal components and the actual MODIS/LSTs. LST decreased (similar to -0.086K/yr, p<0.1) in 53% of the study area, whereas it increased with breakpoints in 2009 (similar to 0.084K/yr before and similar to 0.245K/yr after 2009) between the fifth and sixth ring roads. The decreasing trend was stronger over croplands than over urban lands (p<0.05), resulting in an increasing trend in surface urban heat island intensity (SUHII, 0.0220.006K/yr). This was mainly attributed to the trends in urban-rural differences in rainfall and albedo. The SUHII demonstrated a concave seasonal variation primarily due to the seasonal variations of urban-rural differences in temperature cooling rate (related to canyon structure, vegetation, and soil moisture) and surface heat dissipation (affected by humidity and wind). |
出处 | Journal of Geophysical Research-Atmospheres |
卷 | 121 |
期 | 6 |
页 | 2638-2657 |
语种 | 英语 |
ISSN号 | 2169-897X |
DOI标识 | 10.1002/2015jd024354 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/43177] ![]() |
专题 | 地理科学与资源研究所_历年回溯文献 |
推荐引用方式 GB/T 7714 | Quan J. L.,Zhan, W. F.,Chen, Y. H.,et al. Time series decomposition of remotely sensed land surface temperature and investigation of trends and seasonal variations in surface urban heat islands. 2016. |
入库方式: OAI收割
来源:地理科学与资源研究所
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