A Method Based on Temporal Component Decomposition for Estimating 1-km All-Weather Land Surface Temperature by Merging Satellite Thermal Infrared and Passive Microwave Observations

Xiaodong Zhang; Ji Zhou; Frank-Michael Göttsche; Wenfeng Zhan; Shaomin Liu; Ruyin Cao

首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing >A Method Based on Temporal Component Decomposition for Estimating 1-km All-Weather Land Surface Temperature by Merging Satellite Thermal Infrared and Passive Microwave Observations

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A Method Based on Temporal Component Decomposition for Estimating 1-km All-Weather Land Surface Temperature by Merging Satellite Thermal Infrared and Passive Microwave Observations

机译：基于时间分量分解的卫星热红外与被动微波观测相结合估算1公里全天候地表温度的方法

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摘要

Land surface temperature (LST) is a key variable at the land–atmosphere boundary. For many research projects and applications an all-weather LST product at moderate spatial resolution (e.g., 1 km) would be highly useful, especially in frequently cloudy ar

机译：地表温度（LST）是陆地-大气边界的关键变量。对于许多研究项目和应用而言，具有中等空间分辨率（例如1公里）的全天候LST产品将非常有用，尤其是在频繁多云的地区

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来源
《IEEE Transactions on Geoscience and Remote Sensing》 |2019年第7期|4670-4691|共22页
作者
Xiaodong Zhang; Ji Zhou; Frank-Michael Göttsche; Wenfeng Zhan; Shaomin Liu; Ruyin Cao;
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作者单位

School of Resources and Environment Center for Information Geoscience University of Electronic Science and Technology of China Chengdu China;

School of Resources and Environment Center for Information Geoscience University of Electronic Science and T;

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原文格式 PDF
正文语种 eng
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关键词
Land surface temperature; Satellites; Remote sensing; Spatial resolution; MODIS; Temperature sensors; Clouds;

机译：地表温度;卫星;遥感;空间分辨率;MODIS;温度传感器;乌云;

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1. Correction to “A Method Based on Temporal Component Decomposition for Estimating 1-km All-Weather Land Surface Temperature by Merging Satellite Thermal Infrared and Passive Microwave Observations” [Feb 19 4670-4691] [J] . Zhang Xiaodong, Zhou Ji, Goettsche Frank-Michael, IEEE Transactions on Geoscience and Remote Sensing . 2019,第8期

机译：对“基于时间分量分解的方法通过合并卫星热红外和被动微波观测值估算1公里全天候地面温度的方法”的修正[2月19日，4670-4691]
2. Estimation of 1-km all-weather remotely sensed land surface temperature based on reconstructed spatial-seamless satellite passive microwave brightness temperature and thermal infrared data [J] . Zhang Xiaodong, Zhou Ji, Liang Shunlin, ISPRS Journal of Photogrammetry and Remote Sensing . 2020,第Sepa期

机译：基于重建的空间 - 无缝卫星无源微波亮度温度和热红外数据的估算1公里的全天全天候偏远的陆地表面温度
3. A Thermal Sampling Depth Correction Method for Land Surface Temperature Estimation From Satellite Passive Microwave Observation Over Barren Land [J] . Ji Zhou, Xiaodong Zhang, Wenfeng Zhan, IEEE Transactions on Geoscience and Remote Sensing. . 2017,第8期

机译：荒地卫星被动微波观测地表温度估算的热采样深度校正方法
4. Skin and Bulk Sea Surface Temperature Estimates from Passive Microwave and Thermal Infrared Satellite Imagery and their Relationships to Atmospheric Forcing [C] . Sandra L. Castro, William J. Emery, Gary A. Wick IEEE International Geoscience and Remote Sensing Symposium . 2004

机译：无源微波和热红外卫星图像的皮肤和散装海面温度估计及其与大气强制的关系
5. Integrating Optical and Microwave Satellite Observations for High Resolution Land Surface Temperature and Soil Moisture Derivation and Drought Analyses [D] . Li, Yu 2017

机译：结合光学和微波卫星观测技术进行高分辨率陆地表面温度和土壤水分的推导及干旱分析
6. An Efficient Approach for Pixel Decomposition to Increase the Spatial Resolution of Land Surface Temperature Images from MODIS Thermal Infrared Band Data [O] . Fei Wang, Zhihao Qin, *, 2015

机译：通过MODIS热红外波段数据进行像素分解以提高陆地表面温度图像空间分辨率的有效方法
7. Land surface skin temperatures from a combined analysis of microwave and infrared satellite observations for an all-weather evaluation of the differences between air and skin temperatures [O] . Catherine Prigent 2003

机译：从微波和红外卫星观测的综合分析中的陆地表面皮肤温度用于空气和皮肤温度之间的差异的全天候评估
8. Using a Support Vector Machine and a Land Surface Model to Estimate Large-Scale Passive Microwave Temperatures over Snow-Covered Land in North America. [R] . Forman, B. A., Reichle, R. H. 2014

机译：利用支持向量机和陆面模型估算北美白雪覆盖的大面积被动微波温度。

A Method Based on Temporal Component Decomposition for Estimating 1-km All-Weather Land Surface Temperature by Merging Satellite Thermal Infrared and Passive Microwave Observations

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