Scaling of land surface temperature using satellite data: A case examination on ASTER and MODIS products over a heterogeneous terrain area
Scaling of land surface temperature using satellite data: A case examination on ASTER and MODIS products over a heterogeneous terrain area
复制标题
DOI：
10.1016/j.rse.2006.06.012
复制
发表时间：
2006-11-30
影响因子：
13.5
通讯作者：
Yamaguchi, Yasushi
中科院分区：
文献类型：
--
作者：
Liu, Yuanbo;Hiyama, Tetsuya;Yamaguchi, Yasushi
地表温度(LST)是众多环境研究的重要参数。地表的非均质性导致了像素级LST的不确定性。空间尺度可能是造成不确定性的原因，然而，不同的方法会导致尺度值的差异。卫星获取的LST可能代表了像素级的LST，并且对尺度分析很有用，但是取回值的有限精度增加了定标值的不确定性。基于斯蒂芬-博尔兹曼(S-B)定律，本研究提出了平坦和起伏区域LST的尺度方法，以探索利用卫星反演数据进行尺度测量的组合不确定性。为了利用先进星载热发射反射辐射计和中分辨率成像光谱仪在重合低点同时进行的多分辨率观测，对中国黄土高原的部分地区进行了这两种传感器的LST产品检验。利用所提出的方法将90m ASTER LST数据的尺度扩展到1公里，并且尺度后LST的变化通常被减小。在不确定性的来源中，地表不均匀(发射率)和不同的尺度方法导致了非常微小的差异，最大差异为0.2K，用于提高尺度的LST。作为面积加权因素的地形特征对升级值的影响可以忽略不计。恢复的LST的有限准确性是主要的不确定性。经地形影响校正后，总LST平均增加0.6K，角效应和邻接效应均校正后平均增加0.4K。对于崎岖的地区，在缩放时考虑地形校正是必要的。经过地形改正，ASTER LST的校正精度为-0.1K+/-1.87K，均方根误差为1.87K，与万等人的1公里MODIS LST的校正结果一致。S方法[万，Z.，张勇，张强，李，Z.-L(2002b)，验证了从Terra中分辨率成像光谱网数据反演的地表温度产品。环境遥感，83,163-1801年。改进整改方法的结果是-0.2+/-1.57K的更好协议和1.58K的RMSE。(C)2006 Elsevier Inc.保留所有权利。
Land surface temperature (LST) is a key parameter in numerous environmental studies. Surface heterogeneity induces uncertainty in pixel-wise LST. Spatial scaling may account for the uncertainty, however, different approaches lead to differences in scaled values. Satellite-retrieved LST may be representative of the pixel-wise LST and useful for scaling analysis, but the limited accuracy of retrieved values adds uncertainty into the scaled values. Based on the Stefan-Boltzmann (S-B) law, this study proposed scaling approaches for LST over flat and relief areas to explore the combined uncertainties in scaling using satellite-retrieved data. To take advantage of simultaneous, multi-resolution observations at coincident nadirs by the Advanced Spaceborne Thermal Emission Reflection Radiometer (ASTER) and the MODerate-resolution Imaging Spectroradiometer (MODIS), LST products from these two sensors were examined for part of the Loess Plateau in China. 90-m ASTER LST data were scaled up to 1 km using the proposed approaches, and variation in the LST was generally reduced after scaling. Amongst the sources of uncertainties, surface heterogeneity (emissivity) and different scaling approaches resulted in very minor differences, with a maximum difference of 0.2 K for the upscaled LST. Terrain features, taken as an areal weighting factor, had negligible effects on the upscaled value. Limited accuracy of the retrieved LST was the major uncertainty. The overall LST increased 0.6 K on average with correction for terrain-induced angular effect and 0.4 K for both angular and adjacency effects over the study area. Accounting for terrain correction in scaling is necessary for rugged areas. With terrain correction, the upscaled ASTER LST achieved an agreement of -0.1 +/- 1.87 K and a root mean square error (RMSE) of 1.87 K overall with the 1-km MODIS LST rectified by Wan et al.'s approach [Wan, Z., Zhang, Y., Zhang Q., Li, Z.-L. (2002b), Validation of the land-surface temperature products retrieved from Terra Moderate Resolution Imaging Spectroradionneter data. Remote Sensing of Environment, 83, 163-1801. Refining the rectification approach resulted in a better agreement of -0.2 +/- 1.57 K and a RMSE of 1.58 K. (c) 2006 Elsevier Inc. All rights reserved.