Land Surface Temperature Retrieval Using Airborne Hyperspectral Scanner Daytime Mid-Infrared Data

Land Surface Temperature Retrieval Using Airborne Hyperspectral Scanner Daytime Mid-Infrared Data

Land surface temperature (LST) retrieval is a key issue in infrared quantitative remote sensing. In this paper, a split window algorithm is proposed to estimate LST with daytime data in two mid-infrared channels (channel 66 (3.746~4.084 μm) and channel 68 (4.418~4.785 μm)) from Airborne Hyperspectra...

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Bibliographic Details
Main Authors: Enyu Zhao, Yonggang Qian, Caixia Gao, Hongyuan Huo, Xiaoguang Jiang, Xiangsheng Kong
Format: Article
Language:English
Published: MDPI AG 2014-12-01
Series:Remote Sensing
Subjects:
mid-infrared data
land surface temperature
split-window
AHS data
Online Access:http://www.mdpi.com/2072-4292/6/12/12667

Internet

http://www.mdpi.com/2072-4292/6/12/12667

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