Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/15488
Title: Reconstruction of time-series modis lst in central qinghai-tibet plateau using geostatistical approach
Authors: Ke, L
Ding, X 
Song, C
Keywords: Image analysis
Image processing
Image reconstruction
Remote sensing
Temperature.
Issue Date: 2013
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE geoscience and remote sensing letters, 2013, v. 10, no. 6, 6545342, p. 1602-1606 How to cite?
Journal: IEEE geoscience and remote sensing letters 
Abstract: We present an approach for reconstructing land surface temperature (LST) time series over mountainous areas based on Regression Kriging (RK) technique and a data processing scheme for filtering out LST noise and artifacts. A total of 1462 eight-day composite Moderate Resolution Imaging Spectroradiometer LST images over central Qinghai-Tibet Plateau over 2003-2010 are reconstructed. The regression model includes four auxiliary predictors-latitude, longitude, elevation, and NDVI-which are proven to be a good estimator for the 8-day LST. Comparison of ground surface temperature (GST) measurements at eight meteorological stations with the raw and reconstructed LST series shows that the reconstruction strategy can effectively recover complete high-quality over-land LST maps and significantly improve the consistency between LST and GST.
URI: http://hdl.handle.net/10397/15488
ISSN: 1545-598X
DOI: 10.1109/LGRS.2013.2263553
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