Analysis of temporal variations of surface albedo from MODIS

Gao Wei; Lu Qifeng; Gao Zhiqiang; Wu Wanli; Du Bingyu; James Slusser

doi:10.1117/12.676197

Analysis of temporal variations of surface albedo from MODIS

Gao Wei^*
, Lu Qifeng
, Gao Zhiqiang
, Wu Wanli
, Du Bingyu
, James Slusser

^*Corresponding author for this work

Colorado State University
Intl. Center for Desert Affairs-Research for Sustainable Development in Arid and Semi-arid Land
China Meteorological Administration
CAS - Institute of Geographical Sciences and Natural Resources Research
National Center for Atmospheric Research
Nanjing University of Information Science & Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Land surface albedo is a key parameter in modeling radiative transfer in the atmosphere. Simulated climates are sensitive to specified albedo in models. The MODIS BRDF/Albedo Science Data Product represents the latest attempt at providing a dataset suitable for climate model comparisons. It is necessary to analyze the feature of white-sky and black-sky albedo before its use in land surface models. White-sky (diffuse) and black-sky albedo (direct at local solar noon) in China from MODIS based on Lucht algorithm are calculated and analyzed. The differences of white-sky and black-sky albedo for different land use/land cover are compared. The derived albedo exhibits clear interannual variation with large variation in Northern China . Black-sky albedo and white-sky albedo are characterized with different features for different land covers.

Original language	English
Title of host publication	Remote Sensing and Modeling of Ecosystems for Sustainability III
DOIs	https://doi.org/10.1117/12.676197
State	Published - 2006
Externally published	Yes
Event	Remote Sensing and Modeling of Ecosystems for Sustainability III - San Diego, CA, United States Duration: 14 Aug 2006 → 16 Aug 2006

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	6298
ISSN (Print)	0277-786X

Conference

Conference	Remote Sensing and Modeling of Ecosystems for Sustainability III
Country/Territory	United States
City	San Diego, CA
Period	14/08/06 → 16/08/06

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 13 Climate Action
SDG 15 Life on Land

Keywords

Albedo
Black sky
MODIS
Temporal variations
White sky

Access to Document

10.1117/12.676197

Cite this

@inproceedings{ed27d7d2aa1e4fb690dab01e642549c7,

title = "Analysis of temporal variations of surface albedo from MODIS",

abstract = "Land surface albedo is a key parameter in modeling radiative transfer in the atmosphere. Simulated climates are sensitive to specified albedo in models. The MODIS BRDF/Albedo Science Data Product represents the latest attempt at providing a dataset suitable for climate model comparisons. It is necessary to analyze the feature of white-sky and black-sky albedo before its use in land surface models. White-sky (diffuse) and black-sky albedo (direct at local solar noon) in China from MODIS based on Lucht algorithm are calculated and analyzed. The differences of white-sky and black-sky albedo for different land use/land cover are compared. The derived albedo exhibits clear interannual variation with large variation in Northern China . Black-sky albedo and white-sky albedo are characterized with different features for different land covers.",

keywords = "Albedo, Black sky, MODIS, Temporal variations, White sky",

author = "Gao Wei and Lu Qifeng and Gao Zhiqiang and Wu Wanli and Du Bingyu and James Slusser",

year = "2006",

doi = "10.1117/12.676197",

language = "英语",

isbn = "0819463779",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

booktitle = "Remote Sensing and Modeling of Ecosystems for Sustainability III",

note = "Remote Sensing and Modeling of Ecosystems for Sustainability III ; Conference date: 14-08-2006 Through 16-08-2006",

}

Wei, G, Qifeng, L, Zhiqiang, G, Wanli, W, Bingyu, D & Slusser, J 2006, Analysis of temporal variations of surface albedo from MODIS. in Remote Sensing and Modeling of Ecosystems for Sustainability III., 62981G, Proceedings of SPIE - The International Society for Optical Engineering, vol. 6298, Remote Sensing and Modeling of Ecosystems for Sustainability III, San Diego, CA, United States, 14/08/06. https://doi.org/10.1117/12.676197

Analysis of temporal variations of surface albedo from MODIS. / Wei, Gao; Qifeng, Lu; Zhiqiang, Gao et al.
Remote Sensing and Modeling of Ecosystems for Sustainability III. 2006. 62981G (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 6298).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Analysis of temporal variations of surface albedo from MODIS

AU - Wei, Gao

AU - Qifeng, Lu

AU - Zhiqiang, Gao

AU - Wanli, Wu

AU - Bingyu, Du

AU - Slusser, James

PY - 2006

Y1 - 2006

N2 - Land surface albedo is a key parameter in modeling radiative transfer in the atmosphere. Simulated climates are sensitive to specified albedo in models. The MODIS BRDF/Albedo Science Data Product represents the latest attempt at providing a dataset suitable for climate model comparisons. It is necessary to analyze the feature of white-sky and black-sky albedo before its use in land surface models. White-sky (diffuse) and black-sky albedo (direct at local solar noon) in China from MODIS based on Lucht algorithm are calculated and analyzed. The differences of white-sky and black-sky albedo for different land use/land cover are compared. The derived albedo exhibits clear interannual variation with large variation in Northern China . Black-sky albedo and white-sky albedo are characterized with different features for different land covers.

AB - Land surface albedo is a key parameter in modeling radiative transfer in the atmosphere. Simulated climates are sensitive to specified albedo in models. The MODIS BRDF/Albedo Science Data Product represents the latest attempt at providing a dataset suitable for climate model comparisons. It is necessary to analyze the feature of white-sky and black-sky albedo before its use in land surface models. White-sky (diffuse) and black-sky albedo (direct at local solar noon) in China from MODIS based on Lucht algorithm are calculated and analyzed. The differences of white-sky and black-sky albedo for different land use/land cover are compared. The derived albedo exhibits clear interannual variation with large variation in Northern China . Black-sky albedo and white-sky albedo are characterized with different features for different land covers.

KW - Albedo

KW - Black sky

KW - MODIS

KW - Temporal variations

KW - White sky

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U2 - 10.1117/12.676197

DO - 10.1117/12.676197

M3 - 会议稿件

AN - SCOPUS:33751360160

SN - 0819463779

SN - 9780819463777

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - Remote Sensing and Modeling of Ecosystems for Sustainability III

T2 - Remote Sensing and Modeling of Ecosystems for Sustainability III

Y2 - 14 August 2006 through 16 August 2006

ER -

Analysis of temporal variations of surface albedo from MODIS

Abstract

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UN SDGs

Keywords

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