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首页> 外文会议>IEEE International Geoscience and Remote Sensing Symposium >RECONSTRUCTING COMPLETE MODIS LST BASED ON TEMPERATURE GRADIENTS IN NORTHEASTERN QINGHAI-TIBET PLATEAU
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RECONSTRUCTING COMPLETE MODIS LST BASED ON TEMPERATURE GRADIENTS IN NORTHEASTERN QINGHAI-TIBET PLATEAU

机译：基于青藏高原东北地区温度梯度重建完整的MODIS LST

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摘要

MODIS LST products provided by NASA may suffer from missing values and noises from various sources, which can degrade the LST quality and hamper its efficient applications. The paper presents an algorithm to reconstruct complete LST image based on regression analysis of LST with elevation in each sliding window, after filtering low-quality and unreliable pixels. Comparison of reconstructed LST with meteorological temperature measurements (T) indicates that LST is significantly correlated with T with an average correlation coefficient of 0.96 and a mean absolute difference (MAE) of 2.02 K. LSTs and Ts show no significant differences at monthly and yearly scale. The differences between LSTs and Ts have certain correlations with their different spatial and temporal definitions; however some residual noises existing in the reconstructed LSTs indicate more meticulous algorithm needed to work out more accurate RS-LST data.
机译：NASA提供的MODIS LST产品可能遭受各种来源的缺失值和噪声，这可以降低LST质量并阻碍其有效的应用。本文介绍了一种基于LST的回归分析在每个滑动窗口中的回归分析重建完整LST图像，过滤低质量和不可靠的像素。具有气象温度测量的重建LST的比较表明，LST与TS显着相关，平均相关系数为0.96，平均绝对差（MAE）为2.02K。LST和TS每月和每年显示显着差异。 LSTS和TS之间的差异与其不同的空间和时间定义有一定的相关性;然而，在重建的LST中存在的一些残留噪声表示更精确的RS-LST数据所需的更细致的算法。

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