A detailed comparison of MYD11 and MYD21 land surface temperature products in mainland China

被引:33
作者
Yao, Rui [1 ,2 ]
Wang, Lunche [1 ,2 ]
Wang, Shaoqiang [1 ,2 ]
Wang, Lizhe [3 ,4 ]
Wei, Jing [5 ,6 ]
Li, Junli [7 ]
Yu, Deqing [8 ]
机构
[1] China Univ Geosci, Sch Geog & Informat Engn, Hunan Key Lab Remote Sensing Ecol Environm Dongti, Wuhan 430074, Peoples R China
[2] China Univ Geosci, Sch Geog & Informat Engn, Hubei Key Lab Crit Zone Evolut, Wuhan 430074, Peoples R China
[3] China Univ Geosci, Fac Comp Sci, Wuhan, Peoples R China
[4] China Univ Geosci, Hubei Key Lab Intelligent Geoinformat Proc, Wuhan, Peoples R China
[5] Beijing Normal Univ, Coll Global Change & Earth Syst Sci, State Key Lab Remote Sensing Sci, Beijing, Peoples R China
[6] Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, Dept Atmospher & Ocean Sci, College Pk, MD 20742 USA
[7] Anhui Agr Univ, Sch Resources & Environm, Hefei, Anhui, Peoples R China
[8] Hunan Nat Resources Affairs Ctr, Hunan Key Lab Remote Sensing Ecol Environm Dongti, Changsha, Peoples R China
基金
中国国家自然科学基金;
关键词
Remote sensing; land surface temperature; data comparison; surface urban heat island; mainland China; URBAN HEAT-ISLAND; EMISSIVITY SEPARATION; MODIS; VALIDATION; ALGORITHM; PATTERNS; UNCERTAINTY; REFINEMENTS; PROJECTION; INTENSITY;
D O I
10.1080/17538947.2019.1711211
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
Land surface temperature (LST) is a key parameter in land surface system. The National Aeronautics and Space Administration (NASA) recently released new Moderate Resolution Imaging Spectroradiometer (MODIS) LST products (MOD21 and MYD21). Here, we conducted a detailed comparison between the MYD11 and MYD21 LST data in mainland China. The LSTs of MYD21 were approximately 1 degrees C higher than those of MYD11 averaged for mainland China, as MYD21 corrected the cold bias of MYD11. The proportions of the valid value of MYD21 were generally lower than those of MYD11 because the cloud removal method of MYD21 was stricter than that of MYD11. Furthermore, the outliers were less significant in MYD11 than in MYD21 because the outliers in MYD11 were removed using temporal constraints on LST. The outliers in MYD21A2 resulted in a difference of greater than 3 degrees C in average seasonal surface urban heat island intensity (SUHII) between MYD11A2 and MYD21A2. Finally, using MYD11 may underestimate the slope of long-term trends of SUHII. MYD21 LST data may have some uncertainties in urban areas. This study provided a reference for users for selecting LST products and for data producers to further improve MODIS LST products.
引用
收藏
页码:1391 / 1407
页数:17
相关论文
共 44 条
[1]   An automated multi-model evapotranspiration mapping framework using remotely sensed and reanalysis data [J].
Bhattarai, Nishan ;
Mallick, Kaniska ;
Stuart, Julia ;
Vishwakarma, Bramha Dutt ;
Niraula, Rewati ;
Sen, Sumit ;
Jain, Meha .
REMOTE SENSING OF ENVIRONMENT, 2019, 229 :69-92
[2]   A simplified urban-extent algorithm to characterize surface urban heat islands on a global scale and examine vegetation control on their spatiotemporal variability [J].
Chakraborty, T. ;
Lee, X. .
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2019, 74 :269-280
[3]   Test of the MODIS Land Surface Temperature and Emissivity Separation Algorithm With Ground Measurements Over a Rice Paddy [J].
Coll, Cesar ;
Garcia-Santos, Vicente ;
Niclos, Raquel ;
Caselles, Vicente .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2016, 54 (05) :3061-3069
[4]   Detection, causes and projection of climate change over China: An overview of recent progress [J].
Ding Yihui ;
Ren Guoyu ;
Zhao Zongci ;
Xu Ying ;
Luo Yong ;
Li Qiaoping ;
Zhang Jin .
ADVANCES IN ATMOSPHERIC SCIENCES, 2007, 24 (06) :954-971
[5]   Validation of Collection 6 MODIS land surface temperature product using in situ measurements [J].
Duan, Si-Bo ;
Li, Zhao-Liang ;
Li, Hua ;
Goettsche, Frank-M ;
Wu, Hua ;
Zhao, Wei ;
Leng, Pei ;
Zhang, Xia ;
Coll, Cesar .
REMOTE SENSING OF ENVIRONMENT, 2019, 225 :16-29
[6]   Radiance-based validation of land surface temperature products derived from Collection 6 MODIS thermal infrared data [J].
Duan, Si-Bo ;
Li, Zhao-Liang ;
Wu, Hua ;
Leng, Pei ;
Gao, Maofang ;
Wang, Chenguang .
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2018, 70 :84-92
[7]   Validation of remotely sensed surface temperature over an oak woodland landscape - The problem of viewing and illumination geometries [J].
Ermida, Sofia L. ;
Trigo, Isabel F. ;
DaCamara, Carlos C. ;
Goettsche, Frank M. ;
Olesen, Folke S. ;
Hulley, Glynn .
REMOTE SENSING OF ENVIRONMENT, 2014, 148 :16-27
[8]   Land Surface Phenology and Land Surface Temperature Changes Along an Urban-Rural Gradient in Yangtze River Delta, China [J].
Han, Guifeng ;
Xu, Jianhua .
ENVIRONMENTAL MANAGEMENT, 2013, 52 (01) :234-249
[9]   Mapping Urban Areas in China Using Multisource Data With a Novel Ensemble SVM Method [J].
Huang, Xin ;
Hu, Ting ;
Li, Jiayi ;
Wang, Qing ;
Benediktsson, Jon Atli .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2018, 56 (08) :4258-4273
[10]  
Hulley G., 2016, Moderate Resolution Imaging Spectroradiometer (MODIS) Land Surface Temperature and Emissivity Product (MxD21) Algorithm Theoretical Basis Document Collection-6