Reconstruction of Time-Series MODIS LST in Central Qinghai-Tibet Plateau Using Geostatistical Approach

Ke L.; Ding X.; Song C.

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Reconstruction of Time-Series MODIS LST in Central Qinghai-Tibet Plateau Using Geostatistical Approach

机译：用地统计方法重建青藏高原中部时间序列MODIS LST

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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.

机译：我们提出了一种基于回归克里格（RK）技术和用于滤除LST噪声和伪影的数据处理方案的山区地表温度（LST）时间序列重建方法。共重建了2003-2010年青藏高原中部的1462张八天合成中分辨率成像分光辐射计LST图像。回归模型包括四个辅助预测变量（纬度，经度，海拔和NDVI），它们被证明是8天LST的良好估计。将八个气象站的地面温度（GST）测量值与原始和重建的LST系列进行比较，表明该重建策略可以有效地恢复完整的高质量陆上LST地图，并显着提高LST和GST之间的一致性。

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《IEEE Geoscience and Remote Sensing Letters》 |2013年第6期|1-1|共1页
作者
Ke L.; Ding X.; Song C.;
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Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University , Kowloon, Hong Kong|c|;

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正文语种 eng
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Image analysis; image processing; image reconstruction; remote sensing; temperature;

机译：图像分析;图像处理;图像重建;遥感;温度;

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1. Spatio-temporal prediction of daily temperatures using time-series of MODIS LST images [J] . Tomislav Hengl, Gerard B. M. Heuvelink, Melita Percec Tadic, Theoretical and applied climatology . 2012,第1a2期

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2. Distinguishing Land Change from Natural Variability and Uncertainty in Central Mexico with MODIS EVI, TRMM Precipitation, and MODIS LST Data [J] . Zachary Christman, John Rogan, J. Ronald Eastman, Remote Sensing . 2016,第6期

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3. Geostatistical analyses and co-occurrence correlations of heavy metals distribution with various types of land use within a watershed in eastern QingHai-Tibet Plateau, China [J] . Dai Lijun, Wang Lingqing, Liang Tao, The Science of the Total Environment . 2019,第FEBa25期

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4. Using Multi-Years MODIS LST Data to Monitor the Ground Surface Freezing and Thawing Conditions on the Qinghai-Tibet Plateau [C] . Lemin Chen, Tong Hao, Gang Qiao, International Workshop on the Analysis of Multitemporal Remote Sensing Images . 2019

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5. Assessment of time-series MODIS data for cropland mapping in the U.S. central Great Plains [D] . Masialeti, Iwake 2008

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Reconstruction of Time-Series MODIS LST in Central Qinghai-Tibet Plateau Using Geostatistical Approach

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