Investigation of Atmospheric Effects on Retrieval of Sun-Induced Fluorescence Using Hyperspectral Imagery

Significant research progress has recently been made in estimating fluorescence in the oxygen absorption bands, however, quantitative retrieval of fluorescence data is still affected by factors such as atmospheric effects. In this paper, top-of-atmosphere (TOA) radiance is generated by the MODTRAN 4...

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Main Authors: Zhuoya Ni, Zhigang Liu, Zhao-Liang Li, Françoise Nerry, Hongyuan Huo, Rui Sun, Peiqi Yang, Weiwei Zhang
Format: Article
Language:English
Published: MDPI AG 2016-04-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/16/4/480
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spelling doaj-690f49e0f56849fa8ddbe91d5770690e2020-11-24T20:49:16ZengMDPI AGSensors1424-82202016-04-0116448010.3390/s16040480s16040480Investigation of Atmospheric Effects on Retrieval of Sun-Induced Fluorescence Using Hyperspectral ImageryZhuoya Ni0Zhigang Liu1Zhao-Liang Li2Françoise Nerry3Hongyuan Huo4Rui Sun5Peiqi Yang6Weiwei Zhang7State Key Laboratory of Remote Sensing Science, School of Geography, Beijing Key Laboratory of Environmental Remote Sensing and Digital City, Beijing Normal University, Beijing 100875, ChinaState Key Laboratory of Remote Sensing Science, School of Geography, Beijing Key Laboratory of Environmental Remote Sensing and Digital City, Beijing Normal University, Beijing 100875, ChinaICube, CNRS, Université de Strasbourg, 300 Boulevard Sébastien Brant, CS10413, Illkirch 67412, FranceICube, CNRS, Université de Strasbourg, 300 Boulevard Sébastien Brant, CS10413, Illkirch 67412, FranceCollege of Urban and Environmental Sciences, Tianjin Normal University, Tianjin 300387, ChinaState Key Laboratory of Remote Sensing Science, School of Geography, Beijing Key Laboratory of Environmental Remote Sensing and Digital City, Beijing Normal University, Beijing 100875, ChinaITC-Faculty of Geo-Information Science and Earth Observation, University of Twente, Enschede 7514AE, The NetherlandsState Key Laboratory of Remote Sensing Science, School of Geography, Beijing Key Laboratory of Environmental Remote Sensing and Digital City, Beijing Normal University, Beijing 100875, ChinaSignificant research progress has recently been made in estimating fluorescence in the oxygen absorption bands, however, quantitative retrieval of fluorescence data is still affected by factors such as atmospheric effects. In this paper, top-of-atmosphere (TOA) radiance is generated by the MODTRAN 4 and SCOPE models. Based on simulated data, sensitivity analysis is conducted to assess the sensitivities of four indicators—depth_absorption_band, depth_nofs-depth_withfs, radiance and Fs/radiance—to atmospheric parameters (sun zenith angle (SZA), sensor height, elevation, visibility (VIS) and water content) in the oxygen absorption bands. The results indicate that the SZA and sensor height are the most sensitive parameters and that variations in these two parameters result in large variations calculated as the variation value/the base value in the oxygen absorption depth in the O2-A and O2-B bands (111.4% and 77.1% in the O2-A band; and 27.5% and 32.6% in the O2-B band, respectively). A comparison of fluorescence retrieval using three methods (Damm method, Braun method and DOAS) and SCOPE Fs indicates that the Damm method yields good results and that atmospheric correction can improve the accuracy of fluorescence retrieval. Damm method is the improved 3FLD method but considering atmospheric effects. Finally, hyperspectral airborne images combined with other parameters (SZA, VIS and water content) are exploited to estimate fluorescence using the Damm method and 3FLD method. The retrieval fluorescence is compared with the field measured fluorescence, yielding good results (R2 = 0.91 for Damm vs. SCOPE SIF; R2 = 0.65 for 3FLD vs. SCOPE SIF). Five types of vegetation, including ailanthus, elm, mountain peach, willow and Chinese ash, exhibit consistent associations between the retrieved fluorescence and field measured fluorescence.http://www.mdpi.com/1424-8220/16/4/480sun-induced fluorescencesensitivity analysisoxygen-absorption depthFLD-like methodDOASairborne data
collection DOAJ
language English
format Article
sources DOAJ
author Zhuoya Ni
Zhigang Liu
Zhao-Liang Li
Françoise Nerry
Hongyuan Huo
Rui Sun
Peiqi Yang
Weiwei Zhang
spellingShingle Zhuoya Ni
Zhigang Liu
Zhao-Liang Li
Françoise Nerry
Hongyuan Huo
Rui Sun
Peiqi Yang
Weiwei Zhang
Investigation of Atmospheric Effects on Retrieval of Sun-Induced Fluorescence Using Hyperspectral Imagery
Sensors
sun-induced fluorescence
sensitivity analysis
oxygen-absorption depth
FLD-like method
DOAS
airborne data
author_facet Zhuoya Ni
Zhigang Liu
Zhao-Liang Li
Françoise Nerry
Hongyuan Huo
Rui Sun
Peiqi Yang
Weiwei Zhang
author_sort Zhuoya Ni
title Investigation of Atmospheric Effects on Retrieval of Sun-Induced Fluorescence Using Hyperspectral Imagery
title_short Investigation of Atmospheric Effects on Retrieval of Sun-Induced Fluorescence Using Hyperspectral Imagery
title_full Investigation of Atmospheric Effects on Retrieval of Sun-Induced Fluorescence Using Hyperspectral Imagery
title_fullStr Investigation of Atmospheric Effects on Retrieval of Sun-Induced Fluorescence Using Hyperspectral Imagery
title_full_unstemmed Investigation of Atmospheric Effects on Retrieval of Sun-Induced Fluorescence Using Hyperspectral Imagery
title_sort investigation of atmospheric effects on retrieval of sun-induced fluorescence using hyperspectral imagery
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2016-04-01
description Significant research progress has recently been made in estimating fluorescence in the oxygen absorption bands, however, quantitative retrieval of fluorescence data is still affected by factors such as atmospheric effects. In this paper, top-of-atmosphere (TOA) radiance is generated by the MODTRAN 4 and SCOPE models. Based on simulated data, sensitivity analysis is conducted to assess the sensitivities of four indicators—depth_absorption_band, depth_nofs-depth_withfs, radiance and Fs/radiance—to atmospheric parameters (sun zenith angle (SZA), sensor height, elevation, visibility (VIS) and water content) in the oxygen absorption bands. The results indicate that the SZA and sensor height are the most sensitive parameters and that variations in these two parameters result in large variations calculated as the variation value/the base value in the oxygen absorption depth in the O2-A and O2-B bands (111.4% and 77.1% in the O2-A band; and 27.5% and 32.6% in the O2-B band, respectively). A comparison of fluorescence retrieval using three methods (Damm method, Braun method and DOAS) and SCOPE Fs indicates that the Damm method yields good results and that atmospheric correction can improve the accuracy of fluorescence retrieval. Damm method is the improved 3FLD method but considering atmospheric effects. Finally, hyperspectral airborne images combined with other parameters (SZA, VIS and water content) are exploited to estimate fluorescence using the Damm method and 3FLD method. The retrieval fluorescence is compared with the field measured fluorescence, yielding good results (R2 = 0.91 for Damm vs. SCOPE SIF; R2 = 0.65 for 3FLD vs. SCOPE SIF). Five types of vegetation, including ailanthus, elm, mountain peach, willow and Chinese ash, exhibit consistent associations between the retrieved fluorescence and field measured fluorescence.
topic sun-induced fluorescence
sensitivity analysis
oxygen-absorption depth
FLD-like method
DOAS
airborne data
url http://www.mdpi.com/1424-8220/16/4/480
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