A practical method for angular normalization of global MODIS land surface temperature over vegetated surfaces
文献类型:期刊论文
作者 | Wang, Junrui; Tang, Ronglin; Jiang, Yazhen; Liu, Meng; Li, Zhao-Liang |
刊名 | ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
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出版日期 | 2023-05-01 |
卷号 | 199页码:289-304 |
关键词 | Land surface temperature MODIS Angular anisotropy Angular normalization |
ISSN号 | 0924-2716 |
DOI | 10.1016/j.isprsjprs.2023.04.015 |
文献子类 | Article |
英文摘要 | Land surface temperature (LST) is an essential physical quantity in surface energy balance and a good indicator of exchange of heat and water between the land and atmosphere at regional and global scales. However, the thermal-infrared remotely sensed LST from large swath-width polar-orbiting and geostationary satellite sensors is usually subject to the angular anisotropy, bringing great uncertainties in the application of LST products in many fields such as evapotranspiration estimation, urban thermal environment monitoring, and climate change study. In this study, a practical angular normalization method was developed for the first time for correcting global MODIS off-nadir LST to nadir over vegetated surfaces, using MODIS (Terra + Aqua) products from 2000 to 2020, simultaneous and collocated observations at 213 sites worldwide from the AmeriFlux, FLUXNET, and National Tibetan Plateau/Third Pole Environment Data Center (TPDC), and ERA5-Land reanalysis datasets. Results showed that the angular normalization method could well correct the angular anisotropy of MODIS LST products. Validated against datasets at 213 sites, the angular normalization model showed root mean square errors (RMSE) of 1.57 K, mean bias errors (MBE) of 0 K, and coefficient of determination (R2) of 0.99. In the cross-validation of nadir LST by correcting global MODIS/Terra off-nadir LST products against Sentinel-3A nadir LST products over four typical days in 2020 (February 26, June 1, August 12 and November 16), the angular normalization model presented the RMSE of 2.26 K and the MBE of -1.20 K, in contrast to the RMSE of 3.01 K and the MBE of -2.15 K when MODIS off-nadir LST was compared to the Sentinel-3A nadir LST. The angular anisotropy of global MODIS/ Terra LST over vegetated surfaces for the four days of interest ranged between -1.79 to -1.30 K (1% quantile) and 3.64 to 4.37 K (99% quantile), with a median of 0.33 to 0.74 K, and a mean of 0.46 to 0.89 K. The developed angular normalization model is a promising approach to operationally correcting all time-series of global MODIS/Terra and MODIS/Aqua LST products with high accuracies, which is significant to provide a benchmark of angle-consistent MODIS LST product for its further application. |
学科主题 | Physical Geography ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS关键词 | KERNEL-DRIVEN MODEL ; RANDOM FOREST ; PRODUCTS ; EMISSIVITY ; VALIDATION ; ANISOTROPY ; CANOPIES ; SIMULATE ; ALBEDO ; ANGLE |
语种 | 英语 |
出版者 | ELSEVIER |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/193448] ![]() |
专题 | 资源与环境信息系统国家重点实验室_外文论文 |
作者单位 | 1.[Wang, Junrui 2.Tang, Ronglin 3.Jiang, Yazhen 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 6.[Liu, Meng 7.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, State Key Lab Efficient Utilizat Arid & Semiarid A, Beijing 100081, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Junrui,Tang, Ronglin,Jiang, Yazhen,et al. A practical method for angular normalization of global MODIS land surface temperature over vegetated surfaces[J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,2023,199:289-304. |
APA | Wang, Junrui,Tang, Ronglin,Jiang, Yazhen,Liu, Meng,&Li, Zhao-Liang.(2023).A practical method for angular normalization of global MODIS land surface temperature over vegetated surfaces.ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,199,289-304. |
MLA | Wang, Junrui,et al."A practical method for angular normalization of global MODIS land surface temperature over vegetated surfaces".ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 199(2023):289-304. |
入库方式: OAI收割
来源:地理科学与资源研究所
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