Estimating the fraction of absorbed photosynthetically active radiation from the MODIS data based GLASS leaf area index product
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作者:
Xiao, Zhiqiang
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Beijing Normal Univ, Sch Geog, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R ChinaBeijing Normal Univ, Sch Geog, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
Xiao, Zhiqiang
[1
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Liang, Shunlin
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Beijing Normal Univ, Sch Geog, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USABeijing Normal Univ, Sch Geog, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
Liang, Shunlin
[1
,2
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Sun, Rui
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Beijing Normal Univ, Sch Geog, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R ChinaBeijing Normal Univ, Sch Geog, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
Sun, Rui
[1
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Wang, Jindi
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Beijing Normal Univ, Sch Geog, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R ChinaBeijing Normal Univ, Sch Geog, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
Wang, Jindi
[1
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Jiang, Bo
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Beijing Normal Univ, Sch Geog, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R ChinaBeijing Normal Univ, Sch Geog, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
Jiang, Bo
[1
]
机构:
[1] Beijing Normal Univ, Sch Geog, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
[2] Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA
The fraction of absorbed photosynthetically active radiation (FAPAR) is an essential biophysical variable and plays a critical role in the carbon cycle. Existing FAPAR products from satellite observations are spatially incomplete and temporally discontinuous, and also insufficiently accurate to meet the requirements of various applications. In this study, a new method is proposed to calculate high quality, accurate FAPAR from the Global [And Surface Satellite (GLASS) leaf area index (LAI) to ensure physical consistency between LAI and FAPAR retrievals. As a result, a global FAPAR product (denoted by GLASS) was generated from the GLASS LAI data from 2000. With no missing values, GLASS FAPAR product is spatially complete. Comparison of the GLASS FAPAR product with the MODerate Resolution Imaging Spectroradiometer (MODIS), Geoland2/BioPar version 1 (GEOV1), and the Seaviewing Wide Field-of-view Sensor (SeaWiFS) FAPAR products indicates that these FAPAR products exhibit similar spatial distribution pattern. However, there were relatively large discrepancies between these FAPAR products in equatorial forest regions and around 50-60 N, where the SeaWiFS FAPAR values were lower than the other products and GLASS FAPAR product showed the largest values. Temporal consistency analysis indicates that GLASS FAPAR product has continuous trajectories, while MODIS FAPAR product shows more unstable profiles, especially during the growing season. Direct comparison with ground-based estimates demonstrated that GLASS FAPAR values were more accurate (R-2 = 0.9292 and RMSE = 0.0716) than GEOV1 (R-2 = 0.8681 and RMSE = 0.1085), MODIS (R-2 = 0.8048 and RMSE = 0.1276) and SeaWiFS FAPAR values (R-2 = 0.7377 and RMSE = 0.1635). (C) 2015 Elsevier Inc. All rights reserved.
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Univ Toronto, Dept Geog & Planning, 100 St George St, Toronto, ON M5S 3G2, CanadaUniv Toronto, Dept Geog & Planning, 100 St George St, Toronto, ON M5S 3G2, Canada
Rogers, Cheryl
Chen, Jing M.
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Univ Toronto, Dept Geog & Planning, 100 St George St, Toronto, ON M5S 3G2, CanadaUniv Toronto, Dept Geog & Planning, 100 St George St, Toronto, ON M5S 3G2, Canada
Chen, Jing M.
Croft, Holly
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Univ Sheffield, Dept Anim & Plant Sci, Western Bank, Sheffield S10 2TN, S Yorkshire, EnglandUniv Toronto, Dept Geog & Planning, 100 St George St, Toronto, ON M5S 3G2, Canada
Croft, Holly
Gonsamo, Alemu
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McMaster Univ, Sch Earth Environm & Soc, 1280 Main St W, Hamilton, ON L8S 4K1, CanadaUniv Toronto, Dept Geog & Planning, 100 St George St, Toronto, ON M5S 3G2, Canada
Gonsamo, Alemu
Luo, Xiangzhong
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Natl Univ Singapore, Dept Geog, 1 Arts Link, Singapore 117570, Singapore
Lawrence Berkeley Natl Lab, Climate & Ecosyst Sci Div, 1 Cyclotron Rd, Berkeley, CA 94720 USAUniv Toronto, Dept Geog & Planning, 100 St George St, Toronto, ON M5S 3G2, Canada
Luo, Xiangzhong
Bartlett, Paul
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Environm & Climate Change Canada, Climate Res Div, 4905 Dufferin St, Toronto, ON M3H 5T4, CanadaUniv Toronto, Dept Geog & Planning, 100 St George St, Toronto, ON M5S 3G2, Canada
Bartlett, Paul
Staebler, Ralf M.
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Environm & Climate Change Canada, Air Qual Res Div, 4905 Dufferin St, Toronto, ON M3H 5T4, CanadaUniv Toronto, Dept Geog & Planning, 100 St George St, Toronto, ON M5S 3G2, Canada
YANG FeiZHU YunqiangZHANG JiahuaYAO ZuofangThe State Key Laboratory of Resources and Environmental Information SystemInstitute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing ChinaThe Laboratory of Remote Sensing and Climate InformationChinese Academy of Meteorological SciencesBeijing ChinaThe Beijing National Technology Transfer Center of Chinese Academy of SciencesBeijing
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YANG FeiZHU YunqiangZHANG JiahuaYAO ZuofangThe State Key Laboratory of Resources and Environmental Information SystemInstitute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing ChinaThe Laboratory of Remote Sensing and Climate InformationChinese Academy of Meteorological SciencesBeijing ChinaThe Beijing National Technology Transfer Center of Chinese Academy of SciencesBeijing
机构:
Chinese Acad Sci, Aerosp Informat Res Inst, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China
Xian Univ Sci & Technol, Coll Geomat, Xian 710054, Peoples R ChinaChinese Acad Sci, Aerosp Informat Res Inst, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China
Chen, Siyuan
Liu, Liangyun
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Chinese Acad Sci, Aerosp Informat Res Inst, Key Lab Digital Earth Sci, Beijing 100094, Peoples R ChinaChinese Acad Sci, Aerosp Informat Res Inst, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China
Liu, Liangyun
He, Xue
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Jointly Sponsored Beijing Normal Univ & Inst Remo, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
Beijing Normal Univ, Fac Geog Sci, Inst Remote Sensing Sci & Engn, Beijing Engn Res Ctr Global Land Remote Sensing P, Beijing 100875, Peoples R ChinaChinese Acad Sci, Aerosp Informat Res Inst, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China
He, Xue
Liu, Zhigang
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Jointly Sponsored Beijing Normal Univ & Inst Remo, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
Beijing Normal Univ, Fac Geog Sci, Inst Remote Sensing Sci & Engn, Beijing Engn Res Ctr Global Land Remote Sensing P, Beijing 100875, Peoples R ChinaChinese Acad Sci, Aerosp Informat Res Inst, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China
Liu, Zhigang
Peng, Dailiang
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Chinese Acad Sci, Aerosp Informat Res Inst, Key Lab Digital Earth Sci, Beijing 100094, Peoples R ChinaChinese Acad Sci, Aerosp Informat Res Inst, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China