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Coefficients optimization of the GLASS broadband emissivity based on FTIR and MODIS data over the Taklimakan Desert
In this paper, the Taklimakan Desert land surface emissivity measured by portable Fourier Transform thermal InfraRed spectroscopy (FTIR) was used to re-estimate Global LAnd Surface Satellite (GLASS) BroadBand Emissivity (BBE) and Moderate Resolution Imaging Spectroradiometer (MODIS) BBE optimal coef...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6895150/ https://www.ncbi.nlm.nih.gov/pubmed/31804588 http://dx.doi.org/10.1038/s41598-019-54982-6 |
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author | Yalkun, Aynigar Mamtimin, Ali Liu, Suhong Yang, Fan He, Qing Qi, Feifei Liu, Yongqiang |
author_facet | Yalkun, Aynigar Mamtimin, Ali Liu, Suhong Yang, Fan He, Qing Qi, Feifei Liu, Yongqiang |
author_sort | Yalkun, Aynigar |
collection | PubMed |
description | In this paper, the Taklimakan Desert land surface emissivity measured by portable Fourier Transform thermal InfraRed spectroscopy (FTIR) was used to re-estimate Global LAnd Surface Satellite (GLASS) BroadBand Emissivity (BBE) and Moderate Resolution Imaging Spectroradiometer (MODIS) BBE optimal coefficients equations. In addition, the revised BBE equations of both GLASS and MODIS with the optimized coefficients were obtained. Comparing the FTIR and MODIS BBE data with the values retrieved before and after the revised GLASS BBE equation, it was found that the revised GLASS BBE equation is more accurate than the original one. First, according to the error analysis with FTIR data, the value of R(2) is increased from 0.4 to 0.9, and the Root Mean Square Error (RMSE) and Bias are reduced by 1 and 3 magnitude orders, respectively. Second, with MODIS BBE data, the value of R(2) is increased from 0.6 to 0.9, the RMSE and Bias are reduced by 1 and 2 magnitude orders, respectively. Finally, the Taklimakan Desert BBE was calculated using the revised GLASS BBE equation. The results showed that the BBE values are between 0.890 and 0.920 in the desert center, between 0.920 and 0.950 in the sparse vegetation areas, and between 0.950 and 0.980 in the oasis edges. |
format | Online Article Text |
id | pubmed-6895150 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-68951502019-12-12 Coefficients optimization of the GLASS broadband emissivity based on FTIR and MODIS data over the Taklimakan Desert Yalkun, Aynigar Mamtimin, Ali Liu, Suhong Yang, Fan He, Qing Qi, Feifei Liu, Yongqiang Sci Rep Article In this paper, the Taklimakan Desert land surface emissivity measured by portable Fourier Transform thermal InfraRed spectroscopy (FTIR) was used to re-estimate Global LAnd Surface Satellite (GLASS) BroadBand Emissivity (BBE) and Moderate Resolution Imaging Spectroradiometer (MODIS) BBE optimal coefficients equations. In addition, the revised BBE equations of both GLASS and MODIS with the optimized coefficients were obtained. Comparing the FTIR and MODIS BBE data with the values retrieved before and after the revised GLASS BBE equation, it was found that the revised GLASS BBE equation is more accurate than the original one. First, according to the error analysis with FTIR data, the value of R(2) is increased from 0.4 to 0.9, and the Root Mean Square Error (RMSE) and Bias are reduced by 1 and 3 magnitude orders, respectively. Second, with MODIS BBE data, the value of R(2) is increased from 0.6 to 0.9, the RMSE and Bias are reduced by 1 and 2 magnitude orders, respectively. Finally, the Taklimakan Desert BBE was calculated using the revised GLASS BBE equation. The results showed that the BBE values are between 0.890 and 0.920 in the desert center, between 0.920 and 0.950 in the sparse vegetation areas, and between 0.950 and 0.980 in the oasis edges. Nature Publishing Group UK 2019-12-05 /pmc/articles/PMC6895150/ /pubmed/31804588 http://dx.doi.org/10.1038/s41598-019-54982-6 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Yalkun, Aynigar Mamtimin, Ali Liu, Suhong Yang, Fan He, Qing Qi, Feifei Liu, Yongqiang Coefficients optimization of the GLASS broadband emissivity based on FTIR and MODIS data over the Taklimakan Desert |
title | Coefficients optimization of the GLASS broadband emissivity based on FTIR and MODIS data over the Taklimakan Desert |
title_full | Coefficients optimization of the GLASS broadband emissivity based on FTIR and MODIS data over the Taklimakan Desert |
title_fullStr | Coefficients optimization of the GLASS broadband emissivity based on FTIR and MODIS data over the Taklimakan Desert |
title_full_unstemmed | Coefficients optimization of the GLASS broadband emissivity based on FTIR and MODIS data over the Taklimakan Desert |
title_short | Coefficients optimization of the GLASS broadband emissivity based on FTIR and MODIS data over the Taklimakan Desert |
title_sort | coefficients optimization of the glass broadband emissivity based on ftir and modis data over the taklimakan desert |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6895150/ https://www.ncbi.nlm.nih.gov/pubmed/31804588 http://dx.doi.org/10.1038/s41598-019-54982-6 |
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