青藏高原东北部MODIS LST时间序列重建及与台站地温比较

doi:10.11820/dlkxjz.2011.07.006

地理科学进展 ›› 2011, Vol. 30 ›› Issue (7): 819-826.doi: 10.11820/dlkxjz.2011.07.006

青藏高原东北部MODIS LST时间序列重建及与台站地温比较

柯灵红^1,2, 王正兴¹, 宋春桥^1,2, 卢振权³

1. 中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室，北京100101;
2. 中国科学院研究生院，北京100049;
3. 中国地质科学院矿产资源研究所，北京100037

收稿日期:2010-10-01 修回日期:2011-04-01 出版日期:2011-07-25 发布日期:2011-07-25
通讯作者: 王正兴(1963-)，男，博士，副研究员。E-mail: wangzx@igsnrr.ac.cn
作者简介:柯灵红(1985-)，女，硕士研究生，主要研究方向为遥感与GIS应用。E-mail: kelh.08s@igsnrr.ac.cn
基金资助:
中央公益性科研院所基本科研业务费专项基金项目(K1003)。

Reconstruction of MODIS LST Time Series and Comparison with Land Surface Temperature (T) among Observation Stations in the Northeast Qinghai-Tibet Plateau

KE Linghong^1,2, WANG Zhengxing¹, SONG Chunqiao^1,2, LU Zhenquan³

1. State Key Lab of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China
3. Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing 100037, China

Received:2010-10-01 Revised:2011-04-01 Online:2011-07-25 Published:2011-07-25

摘要/Abstract

摘要： 通过遥感获取地表温度(地温，LST)可以弥补气象站地温数据局地性的不足。但受某些因素影响，遥感MODIS LST标准产品中的影像存在“云污染”等噪音像元以及空缺值，影响了LST数据应用。本文在利用LST产品的质量标记信息(QA)和直方图极值去除法过滤低质量、不可靠LST像元的基础上，提出了一种基于DEM-LST回归关系的滑动窗口空间重建算法，对2008 年青藏高原东北部TERRA/AQUA 上共4 个温度通道的MODIS LST进行了重建，得到空间完整的LST 时间序列。将重建后的LST 与研究区11 个气象站地表温度数据(T)的比较表明，在8 day 合成序列上LST-T 一致性很好，平均相关系数达0.96，平均绝对误差为2.02℃；LST与T在月、年的尺度上更没有显著差异(平均绝对误差分别为1.55℃和0.60℃)。LST与T存在的差异与两者的时空定义的不一致性有必然的联系，但是仍然存在的低水平噪音表明若需要更高精度的LST数据需要更细致的去云处理。

关键词: MODIS, 地表温度, 青藏高原东北部, 影像重建

Abstract: Land surface temperature (RS-LST) derived from remotely sensed data is a good alternative because traditional LST data from meteorological stations have limitations in terms of locality, accessbility and cost. Yet MODIS standard LST products from NASA may suffer from noises from various sources including‘cloud contamination’, which greatly degrade the LST quality and hamper its efficient applications. The paper presents a novel algorithm which can reconstruct complete LST image based on regression analysis of LST with elevation in each sliding window of the original image, after filtering low-quality and unreliable pixels with Quality Asessment (QA) information and Histogram Outliers Removing method. Terra/Aqua MODIS-LST with overall four temperature channels in the northeast Qinghai-Tibet Plateau in 2008 are reconstructed using this method. Comparison of reconstructed 8-day composite LST data with corresponding landsurface temperature (T) observations from eleven meteorological stations in the study region indicates that LST is significantly correlated with T with an average correlation coefficient of 0.96 and a mean abosolute difference (MAE) of 2.02℃. When aggregated to monthly serials and yearly serials, LSTs and Ts show no significant differences in Paired-T-Test (with MAE of 1.55℃ and 0.60℃, respectively). The differences between LSTs and Ts have certain correlations with their different spatial and temporal definations; however some residual noises existing in the reconstructed LSTs indicate more meticulous algorithem needed to work out more accurate RS-LST data.

Key words: image reconstruction, LST, MODIS, northeast Qinghai-Tibet Plateau

柯灵红, 王正兴, 宋春桥, 卢振权. 青藏高原东北部MODIS LST时间序列重建及与台站地温比较[J]. 地理科学进展, 2011, 30(7): 819-826.

KE Linghong, WANG Zhengxing, SONG Chunqiao, LU Zhenquan. Reconstruction of MODIS LST Time Series and Comparison with Land Surface Temperature (T) among Observation Stations in the Northeast Qinghai-Tibet Plateau[J]. PROGRESS IN GEOGRAPHY, 2011, 30(7): 819-826.

参考文献

[1] Qin Z H, Karnieli A. A Mono-window algorithm for retriving land surface temperature from Landsat TM data and its application to the Israel-egypt Border region. International Journal of Remote Sensing, 2001, 22(18): 3719-3746.

[2] 刘志武, 党安荣, 雷志栋, 等. 利用ASTER遥感数据反演陆面温度的算法及应用研究. 地理科学进展, 2003, 22 (5): 507-515.

[3] Parida B R , Oinam B, Patel N R, et al. Land surface temperature variation in relation to vegetation type using MODIS satellite data in Gujarat state of India. International Journal of Remote Sensing, 2008, 29(14): 4219-4235.

[4] Raynolds M K, Comiso J C, Walker D A, et al. Relationship between satellite-derived land surface temperatures, arctic vegetation types, and NDVI. Remote Sensing of Environment, 2008, 112(4): 1884-1894.

[5] 李玉环, 王静, 曹银贵. 土壤墒情遥感反演与旱情诊断. 地理科学进展, 2006, 25(2): 123-129.

[6] 廖顺宝, 马琳, 岳燕珍, 等. NOAA-AVHRR 资料反演地温与地面实测值的对比分析. 国土资源遥感, 2004, 15 (1):19-22.

[7] 闵文彬, 李跃清. MODIS 反演地表温度与地面同步气温、地温的相关分析//中国气象学会. 中国气象学会 2008 年年会卫星遥感应用技术与处理方法分会场论文集. 北京: 中国气象学会, 2008: 283-290.

[8] 高懋芳, 覃志豪. 中国MODIS地表温度产品验证. 国土资源遥感, 2006(3):15-18.

[9] Wan Z M, Zhang Y L, Zhang Q C, et al. Validation of the land-surface temperature products retrieved from Terra Moderate Resolution Imaging Spectro-radiometer data. Remote Sensing of Environment, 2002, 83(1-2): 163-180.

[10] Wan Z M. New refinements and validation of the MODIS Land-Surface Temperature /Emissivity products. Remote Sensing of Environment, 2008, 112(1): 59-74.

[11] Wang W H, Liang S L, Meyers T. Validating MODIS land surface temperature products using long-term nighttime ground measurements. Remote Sensing of Environment, 2008, 112(3): 623-635.

[12] Crosman E T, Horel J D. MODIS-derived surface temperature of the Great Salt Lake. Remote Sensing of Environment, 2009, 113(1): 73-81.

[13] Hulley G C, Hook S J. Intercomparison of versions 4, 4.1 and 5 of the MODIS Land Surface Temperature and Emissivity products and validation with laboratory measurements of sand samples from the Namib desert. Remote Sensing of Environment, 2009, 113(6): 1313-1318.

[14] Chen J, J?nsson P, Tamura M, et al. A Simple Method for Reconstructing a High-quality NDVI Time-series Data Set Based on the Savitzky-Golay Filter. Remote Sensing of Environment, 2004, 91(3-4): 332-344.

[15] Gua J, Li X, Huang C L, et al. A simplified data assimilation method for reconstructing time-series MODIS NDVI data. Advances in Space Research, 2009, 44(4): 501-509.

[16] 曹云锋, 王正兴, 邓芳萍. 3 种滤波算法对NDVI高质量数据保真性研究. 遥感技术与应用, 2010, 25(1): 118-125.

[17] Neteler M. Estimating Daily Land Surface Temperatures in Mountainous Environments by Reconstructed MODIS LST Data. Remote Sensing, 2010, 2(1): 333-351.

[18] 蔡迪花, 郭铌, 李崇伟. 基于DEM 的气温插值方法研究. 干旱气象, 2009, 27(1): 10-17.

[19] 李新, 程国栋, 卢玲. 青藏高原气温分布的空间插值方法比较. 高原气象, 2003, 22(6): 565-572.

[20] 杨英莲. 青海省天然草地NDVI的时空化与气温和降水的关系分析[D]. 南京信息工程大学, 2008: 1-54.

[21] Wan Z M. Collection-5 MODIS Land Surface Temperature Products Users' Guide [EB/OL]. http://www.icess.ucsb.edu/modis/LstUsrGuide/MODIS_LST_products_Users_guide_C5.pdf, 2009: 10-20.

青藏高原东北部MODIS LST时间序列重建及与台站地温比较

Reconstruction of MODIS LST Time Series and Comparison with Land Surface Temperature (T) among Observation Stations in the Northeast Qinghai-Tibet Plateau

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