Derivation of Vegetation Optical Depth and Water Content in the Source Region of the Yellow River using the FY-3B Microwave Data

This study uses the brightness temperature at the given microwave frequency (18.7 GHz) from the Microwave Radiation Imager (MWRI) on-board the Fengyun-3B (FY-3B) satellite to improve the τ-ω model by considering the radiative contribution from waterbody in the pixels over the wetla...

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Main Authors: Rong Liu, Jun Wen, Xin Wang, Zuoliang Wang, Zhenchao Li, Yan Xie, Li Zhu, Dongpeng Li
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/11/13/1536
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spelling doaj-2884cfbbc72146dba93f7467ed133cca2020-11-25T01:08:23ZengMDPI AGRemote Sensing2072-42922019-06-011113153610.3390/rs11131536rs11131536Derivation of Vegetation Optical Depth and Water Content in the Source Region of the Yellow River using the FY-3B Microwave DataRong Liu0Jun Wen1Xin Wang2Zuoliang Wang3Zhenchao Li4Yan Xie5Li Zhu6Dongpeng Li7Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, ChinaCollege of Atmospheric Sciences, Chengdu university of Information Technology, Chengdu 610225, ChinaKey Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, ChinaKey Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, ChinaKey Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, ChinaKey Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, ChinaKey Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, ChinaLanZhou Petrochemical Polytechinic, Lanzhou 730060, ChinaThis study uses the brightness temperature at the given microwave frequency (18.7 GHz) from the Microwave Radiation Imager (MWRI) on-board the Fengyun-3B (FY-3B) satellite to improve the &#964;-&#969; model by considering the radiative contribution from waterbody in the pixels over the wetland of the Yellow River source region, China. In order to retrieve vegetation optical depth (VOD), a dual-polarization slope parameter is defined to express the surface emissivity in the &#964;-&#969; model as the sum of soil emissivity and waterbody emissivity. In the regions with no waterbody, the original &#964;-&#969; model without considering waterbody impact is used to derive VOD. With use of the field observed vegetation water content (VWC) in the source region of the Yellow River during the summer of 2012, a regression relationship between VOD and VWC is established and then the vegetation parameter <i>b</i> is estimated. The relationship is employed to derive the spatial VWC during the entire vegetation growing period. The VOD retrieved is invalid and failed in some part of the study area by using the previous &#964;-&#969; model, while the results from the improved &#964;-&#969; model indicate that the VOD is in the range of 0.20 to 1.20 and the VWC is in the range of 0.20kg/m<sup>2</sup> to 1.40kg/m<sup>2</sup> in the entire source region of the Yellow River in 2012. Both VOD and VWC exhibit a pattern of low values in the west part and high values in the east part. The largest regional variations appear along the Yellow River. The comparison between the remote-sensing-estimated VWC and the ground-measured VWC gives the root mean square error of 0.12kg/m<sup>2</sup>. These assessments reveal that with considering the fractional seasonal wetlands in the source region of the Yellow River, the microwave remote sensing measurements from the FY-3B MWRI can be successfully used to retrieve the VWC in the source region of the Yellow River.https://www.mdpi.com/2072-4292/11/13/1536vegetation optical depthvegetation water contentFY-3Bsource region of the Yellow River
collection DOAJ
language English
format Article
sources DOAJ
author Rong Liu
Jun Wen
Xin Wang
Zuoliang Wang
Zhenchao Li
Yan Xie
Li Zhu
Dongpeng Li
spellingShingle Rong Liu
Jun Wen
Xin Wang
Zuoliang Wang
Zhenchao Li
Yan Xie
Li Zhu
Dongpeng Li
Derivation of Vegetation Optical Depth and Water Content in the Source Region of the Yellow River using the FY-3B Microwave Data
Remote Sensing
vegetation optical depth
vegetation water content
FY-3B
source region of the Yellow River
author_facet Rong Liu
Jun Wen
Xin Wang
Zuoliang Wang
Zhenchao Li
Yan Xie
Li Zhu
Dongpeng Li
author_sort Rong Liu
title Derivation of Vegetation Optical Depth and Water Content in the Source Region of the Yellow River using the FY-3B Microwave Data
title_short Derivation of Vegetation Optical Depth and Water Content in the Source Region of the Yellow River using the FY-3B Microwave Data
title_full Derivation of Vegetation Optical Depth and Water Content in the Source Region of the Yellow River using the FY-3B Microwave Data
title_fullStr Derivation of Vegetation Optical Depth and Water Content in the Source Region of the Yellow River using the FY-3B Microwave Data
title_full_unstemmed Derivation of Vegetation Optical Depth and Water Content in the Source Region of the Yellow River using the FY-3B Microwave Data
title_sort derivation of vegetation optical depth and water content in the source region of the yellow river using the fy-3b microwave data
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2019-06-01
description This study uses the brightness temperature at the given microwave frequency (18.7 GHz) from the Microwave Radiation Imager (MWRI) on-board the Fengyun-3B (FY-3B) satellite to improve the &#964;-&#969; model by considering the radiative contribution from waterbody in the pixels over the wetland of the Yellow River source region, China. In order to retrieve vegetation optical depth (VOD), a dual-polarization slope parameter is defined to express the surface emissivity in the &#964;-&#969; model as the sum of soil emissivity and waterbody emissivity. In the regions with no waterbody, the original &#964;-&#969; model without considering waterbody impact is used to derive VOD. With use of the field observed vegetation water content (VWC) in the source region of the Yellow River during the summer of 2012, a regression relationship between VOD and VWC is established and then the vegetation parameter <i>b</i> is estimated. The relationship is employed to derive the spatial VWC during the entire vegetation growing period. The VOD retrieved is invalid and failed in some part of the study area by using the previous &#964;-&#969; model, while the results from the improved &#964;-&#969; model indicate that the VOD is in the range of 0.20 to 1.20 and the VWC is in the range of 0.20kg/m<sup>2</sup> to 1.40kg/m<sup>2</sup> in the entire source region of the Yellow River in 2012. Both VOD and VWC exhibit a pattern of low values in the west part and high values in the east part. The largest regional variations appear along the Yellow River. The comparison between the remote-sensing-estimated VWC and the ground-measured VWC gives the root mean square error of 0.12kg/m<sup>2</sup>. These assessments reveal that with considering the fractional seasonal wetlands in the source region of the Yellow River, the microwave remote sensing measurements from the FY-3B MWRI can be successfully used to retrieve the VWC in the source region of the Yellow River.
topic vegetation optical depth
vegetation water content
FY-3B
source region of the Yellow River
url https://www.mdpi.com/2072-4292/11/13/1536
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