globalchange  > 影响、适应和脆弱性
DOI: 10.1002/2016JD024891
论文题名:
Disaggregation of remotely sensed land surface temperature: A new dynamic methodology
作者: Zhan W.; Huang F.; Quan J.; Zhu X.; Gao L.; Zhou J.; Ju W.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2016
卷: 121, 期:18
起始页码: 10538
结束页码: 10554
语种: 英语
英文关键词: annual temperature cycle ; diurnal temperature cycle ; dynamic disaggregation ; land surface temperature ; surface energy balance ; temperature cycle model
Scopus关键词: accuracy assessment ; annual cycle ; land surface ; methodology ; radiance ; remote sensing ; satellite data ; spectral resolution ; surface energy ; surface temperature ; trade-off ; upscaling
英文摘要: The trade-off between the spatial and temporal resolutions of satellite-derived land surface temperature (LST) gives birth to disaggregation of LST (DLST). However, the concurrent enhancement of the spatiotemporal resolutions of LST remains difficult, and many studies disregard the conservation of thermal radiance between predisaggregated and postdisaggregated LSTs. Here we propose a new dynamic methodology to enhance concurrently the spatiotemporal resolutions of satellite-derived LSTs. This methodology conducts DLST by the controlling parameters of the temperature cycle models, i.e., the diurnal temperature cycle (DTC) model and annual temperature cycle (ATC) model, rather than directly by the LST. To achieve the conservation of thermal radiance between predisaggregated and postdisaggregated LSTs, herein we incorporate a modulation procedure that adds temporal thermal details to coarse resolution LSTs rather than straightforwardly transforms fine-resolution scaling factors into LSTs. Indirect validations at the same resolution show that the mean absolute error (MAE) between the predicted and reference LSTs is around 1.0 K during a DTC; the associated MAE is around 2.0 K during an ATC, but this relatively lower accuracy is due more to the uncertainty of the ATC model. The upscaling validations indicate that the MAE is around 1.0 K and the normalized mean absolute error is around 0.3. Comparisons between the DTC- and ATC-based DLST illustrate that the former retains a higher accuracy, but the latter holds a higher flexibility on days when background low-resolution LSTs are unavailable. This methodology alters the static DLST into a dynamic way, and it is able to provide temporally continuous fine-resolution LSTs; it will also promote the design of DLST methods for the generation of high-quality LSTs. ©2016. American Geophysical Union. All Rights Reserved.
资助项目: 41301360 ; 41671420
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/62818
Appears in Collections:影响、适应和脆弱性
气候减缓与适应

Files in This Item:

There are no files associated with this item.


作者单位: Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, International Institute for Earth System Science, Nanjing University, Nanjing, China; Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, China; State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China; Department of Land Surveying and Geo-Informatics, Hong Kong Polytechnic University, Kowloon, Hong Kong; School of Resources and Environment and Information Geoscience Research Center, University of Electronic Science and Technology of China, Chengdu, China

Recommended Citation:
Zhan W.,Huang F.,Quan J.,et al. Disaggregation of remotely sensed land surface temperature: A new dynamic methodology[J]. Journal of Geophysical Research: Atmospheres,2016-01-01,121(18)
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Zhan W.]'s Articles
[Huang F.]'s Articles
[Quan J.]'s Articles
百度学术
Similar articles in Baidu Scholar
[Zhan W.]'s Articles
[Huang F.]'s Articles
[Quan J.]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Zhan W.]‘s Articles
[Huang F.]‘s Articles
[Quan J.]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.