NDLI: Evaluation of five algorithms for extracting soil emissivity from hyperspectral FTIR data

Content Provider	IEEE Xplore Digital Library
Author	Jie Cheng Qing Xiao Xiaowen Li Qinhuo Liu Yongming Du Aixiu Nie
Copyright Year	2007
Description	Author affiliation: Beijing Normal Univ., Beijing (Jie Cheng; Qing Xiao; Xiaowen Li; Qinhuo Liu; Yongming Du)
Abstract	It is well known that soil emissivity exhibits large uncertainty in thermal infrared spectral region. In order to find a way to derive soil emissivity accurately, we examine several existed typical temperature emissivity methods (e.g. NEM, ISSTES, ADE, MMD and TES). Based on the 58 soil spectra of the ASTER Spectral Library, several sets of thermal infrared hyperspectral data were simulated to assess the applicability, stability and accuracy of these methods respectively. This work also brings some improvements of the algorithms based on the results analysis, including: a new optimal maximum emissivity has been suggested for NEM, a better empirical relationship has been discovered to substitute the original mean-minimum maximum difference relationship in MMD method, the original NEM module has been replaced by ISSTES to acquire the accurate initial value of emissivity in TES. As a conclusion, we find the ISSTES is the best. Finally, we present an example of soil emissivity extraction using five methods mentioned above with ground-based measurement hyperspectral data. The distribution of derived emissivity spectrum verifies the results of algorithm analysis.
Starting Page	3146
Ending Page	3149
File Size	432216
Page Count	4
File Format	PDF
ISBN	9781424412112
DOI	10.1109/IGARSS.2007.4423512
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-07-23
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data mining Soil Hyperspectral imaging Hyperspectral sensors Temperature sensors Remote sensing Algorithm design and analysis Atmosphere Educational institutions Infrared spectra hyperspectral data temperature emissivity separation inversion soil emissivity
Content Type	Text
Resource Type	Article

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