Spatio-temporal Characteristics of Area Coverage and Observation Geometry of the MISR Land-surface BRF Product: A Case Study of the Central Part of Northeast Asia

LI Jian; CHEN Shengbo; QIN Wenhan; Mike MUREFU; WANG Yufei; YU Yan; ZHEN Zhijun

doi:10.1007/s11769-019-1052-0

Spatio-temporal Characteristics of Area Coverage and Observation Geometry of the MISR Land-surface BRF Product: A Case Study of the Central Part of Northeast Asia

doi: 10.1007/s11769-019-1052-0

1.
College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China;
2.
Climate Centre of Jilin Province, Changchun 130062, China

基金项目: Under the auspices the Fundamental Research Funds for the Central Universities, China (No. 2017TD-26), the Plan for Changbai Mountain Scholars of Jilin Province, China (No. JJLZ[2015]54)

详细信息

通讯作者:
CHEN Shengbo.E-mail:chensb@jlu.edu.cn

Spatio-temporal Characteristics of Area Coverage and Observation Geometry of the MISR Land-surface BRF Product: A Case Study of the Central Part of Northeast Asia

1.
College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China;
2.
Climate Centre of Jilin Province, Changchun 130062, China

Funds: Under the auspices the Fundamental Research Funds for the Central Universities, China (No. 2017TD-26), the Plan for Changbai Mountain Scholars of Jilin Province, China (No. JJLZ[2015]54)

More Information

Corresponding author: CHEN Shengbo.E-mail:chensb@jlu.edu.cn

摘要: The Multi-angle imaging spectroradiometer (MISR) land-surface (LS) bidirectional reflectance factor (BRF) product (MILS_BRF) has unique semi-simultaneous multi-angle sampling and global coverage. However, unlike on-satellite observations, the spatio-temporal characteristics of MILS_BRF data have rarely been explicitly and comprehensively analysed. Results from 5-yr (2011-2015) of MILS_BRF dataset from a typical region in central Northeast Asia as the study area showed that the monthly area coverage as well as MILS_BRF data quantity varies significantly, from the highest in October (99.05%) through median in June/July (78.09%/75.21%) to lowest in January (18.97%), and a large data-vacant area exists in the study area during four consecutive winter months (December through March). The data-vacant area is mainly composed of crop lands and cropland/natural vegetation mosaic. The amount of data within the principal plane (PP) ±30° (nPP) or cross PP ±30° (nCP), varies intra-annually with significant differences from different view zeniths or forward/backward scattering directions. For example, multiple off-nadir cameras have nPP but no nCP data for up to six months (September through February), with the opposite occurring in June and July. This study provides explicit and comprehensive information about the spatio-temporal characteristics of product coverage and observation geometry of MILS_BRF in the study area. Results provide required user reference information for MILS_BRF to evaluate performance of BRDF models or to compare with other satellite-derived BRF or albedo products. Comparing this final product to on-satellite observations, what was found here reveals a new perspective on product spatial coverage and observation geometry for multi-angle remote sensing.
- multi-angle remote sensing /
- Multi-angle Imaging Spectroradiometer (MISR) /
- bidirectional reflectance factor (BRF) /
- spa-tio-temporal characteristics /
- observation geometry
Abstract: The Multi-angle imaging spectroradiometer (MISR) land-surface (LS) bidirectional reflectance factor (BRF) product (MILS_BRF) has unique semi-simultaneous multi-angle sampling and global coverage. However, unlike on-satellite observations, the spatio-temporal characteristics of MILS_BRF data have rarely been explicitly and comprehensively analysed. Results from 5-yr (2011-2015) of MILS_BRF dataset from a typical region in central Northeast Asia as the study area showed that the monthly area coverage as well as MILS_BRF data quantity varies significantly, from the highest in October (99.05%) through median in June/July (78.09%/75.21%) to lowest in January (18.97%), and a large data-vacant area exists in the study area during four consecutive winter months (December through March). The data-vacant area is mainly composed of crop lands and cropland/natural vegetation mosaic. The amount of data within the principal plane (PP) ±30° (nPP) or cross PP ±30° (nCP), varies intra-annually with significant differences from different view zeniths or forward/backward scattering directions. For example, multiple off-nadir cameras have nPP but no nCP data for up to six months (September through February), with the opposite occurring in June and July. This study provides explicit and comprehensive information about the spatio-temporal characteristics of product coverage and observation geometry of MILS_BRF in the study area. Results provide required user reference information for MILS_BRF to evaluate performance of BRDF models or to compare with other satellite-derived BRF or albedo products. Comparing this final product to on-satellite observations, what was found here reveals a new perspective on product spatial coverage and observation geometry for multi-angle remote sensing.
- multi-angle remote sensing /
- Multi-angle Imaging Spectroradiometer (MISR) /
- bidirectional reflectance factor (BRF) /
- spa-tio-temporal characteristics /
- observation geometry

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[25]	Taberner M, Pinty B, Govaerts Y et al., 2010. Comparison of MISR and MODIS land surface albedos:methodology. Journal of Geophysical Research:Atmospheres, 115(D5):D05101. doi: 10.1029/2009jd012665
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[27]	Wu A S, Angal A, Xiong X X, 2014. Comparison of coincident MODIS and MISR reflectances over the 15-year period of EOS terra. In:Proceedings of the SPIE 9218, Earth Observing Systems XIX. San Diego, California, USA:SPIE, 9218:92180W. doi: 10.1117/12.2061117
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[30]	Diner D J, Martonchik J V, Borel C et al., 2008. Multi-angle Im-aging SpectroRadiometer (MISR) Level 2 Surface Retrieval Algorithm Theoretical Basis (JPL D-11401, Revision E). Pas-adena:Jet Propulsion Laboratory, California Institute of Technology.
[31]	He T, Liang S L, Wang D D, 2017. Direct estimation of land sur-face albedo from simultaneous MISR data. IEEE Transactions on Geoscience and Remote Sensing, 55(5):2605-2617. doi: 10.1109/TGRS.2017.2648847
[32]	Hu B X, Lucht W, Li X W et al., 1997. Validation of kernel-driven semiempirical models for the surface bidirectional reflectance distribution function of land surfaces. Remote Sensing of Environment, 62(3):201-214. doi:10.1016/S0034- 4257(97)00082-5
[33]	Huang X Y, Jiao Z T, Dong Y D et al., 2013. Analysis of BRDF and albedo retrieved by kernel-driven models using field measurements. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6(1):149-161. doi: 10.1109/JSTARS.2012.2208264
[34]	Liao Yao, Lü Daren, He Qing, 2014. Intercomparison of albedo product retrieved from MODIS, MISR and POLDER. Remote Sensing Technology and Application, 29(6):1008-1019. (in Chinese)
[35]	Liu X, Kafatos M, 2007. MISR multi-angular spectral remote sensing for temperate forest mapping at 1.1-km resolution. In-ternational Journal of Remote Sensing, 28(2):459-464. doi: 10.1080/01431160601075491
[36]	LP DAAC, 2017. Land cover type yearly L3 global 500 m SIN Grid. https://lpdaac.usgs.gov/dataset_discovery/modis/modis_products_table/mcd12q1
[37]	Lucht W, 1998. Expected retrieval accuracies of bidirectional reflectance and albedo from EOS-MODIS and MISR angular sampling. Journal of Geophysical Research:Atmospheres, 103(D8):8763-8778. doi: 10.1029/98JD00089
[38]	Lucht W, Lewis P, 2000. Theoretical noise sensitivity of BRDF and albedo retrieval from the EOS-MODIS and MISR sensors with respect to angular sampling. International Journal of Remote Sensing, 21(1):81-98. doi: 10.1080/014311600211000
[39]	Mahtab A, Sridhar V N, Navalgund R R, 2008. Impact of surface anisotropy on classification accuracy of selected vegetation classes:an evaluation using multidate multiangular MISR data over parts of Madhya Pradesh, India. IEEE Transactions on Geoscience and Remote Sensing, 46(1):250-258. doi:10. 1109/TGRS.2007.906157
[40]	MISR-Science-Team, 2015a. Terra/MISR Level 2 land surface data, version 2 retrieved from March 31, 2016 to March 30, 2017, from NASA ASDC. doi: 10.5067/Terra/MISR/MIL2ASLS_L2.002
[41]	MISR-Science-Team, 2015b. Terra/MISR level 2 TOA/Cloud classifiers, version 3 retrieved from Dec 31, 2017 to Feb 28, 2018, from NASA Atmospheric Science Data Center (ASDC). doi: 10.5067/Terra/MISR/MIL2TCCL_L2.003
[42]	Moroney C, DiGirolamo L, Jones A, 2014. MISR Data Products Specifications for the MISR Level 2 Classifiers Product (JPL D-81127, Revision A). Pasadena:Jet Propulsion Laboratory, California Institute of Technology.
[43]	Nag S, Gatebe C K, de Weck O, 2015. Observing system simula-tions for small satellite formations estimating bidirectional re-flectance. International Journal of Applied Earth Observation and Geoinformation, 43:102-118. doi:10.1016/j.jag.2015. 04.022
[44]	Nag S, Gatebe C K, Hilker T, 2017. Simulation of multiangular remote sensing products using small satellite formations. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(2):638-653. doi:10.1109/Jstars.2016. 2570683
[45]	Pinty B, Taberner M, Haemmerle V R et al., 2011. Global-scale comparison of MISR and MODIS land surface albedos. Jour-nal of Climate, 24(3):732-749. doi: 10.1175/2010JCLI3709.1
[46]	Taberner M, Pinty B, Govaerts Y et al., 2010. Comparison of MISR and MODIS land surface albedos:methodology. Journal of Geophysical Research:Atmospheres, 115(D5):D05101. doi: 10.1029/2009jd012665
[47]	Wanner W, Strahler A H, Hu B et al., 1997. Global retrieval of bidirectional reflectance and albedo over land from EOS MODIS and MISR data:theory and algorithm. Journal of Ge-ophysical Research:Atmospheres, 102(D14):17143-17161. doi: 10.1029/96jd03295
[48]	Wu A S, Angal A, Xiong X X, 2014. Comparison of coincident MODIS and MISR reflectances over the 15-year period of EOS terra. In:Proceedings of the SPIE 9218, Earth Observing Systems XIX. San Diego, California, USA:SPIE, 9218:92180W. doi: 10.1117/12.2061117
[49]	Wu H Y, Liang S L, Tong L et al., 2011. Snow BRDF characteris-tics from MODIS and MISR data. In:Proceedings of 2011 IEEE International Geoscience and Remote Sensing Sympo-sium. Vancouver, BC, Canada:IEEE, 3187-3190. doi:10. 1109/IGARSS.2011.6049896
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Spatio-temporal Characteristics of Area Coverage and Observation Geometry of the MISR Land-surface BRF Product: A Case Study of the Central Part of Northeast Asia

doi: 10.1007/s11769-019-1052-0

通讯作者:
CHEN Shengbo.E-mail:chensb@jlu.edu.cn

Spatio-temporal Characteristics of Area Coverage and Observation Geometry of the MISR Land-surface BRF Product: A Case Study of the Central Part of Northeast Asia

Corresponding author: CHEN Shengbo.E-mail:chensb@jlu.edu.cn

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Spatio-temporal Characteristics of Area Coverage and Observation Geometry of the MISR Land-surface BRF Product: A Case Study of the Central Part of Northeast Asia

doi: 10.1007/s11769-019-1052-0

1. College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China;

2. Climate Centre of Jilin Province, Changchun 130062, China

通讯作者: CHEN Shengbo.E-mail:chensb@jlu.edu.cn

English Abstract

Spatio-temporal Characteristics of Area Coverage and Observation Geometry of the MISR Land-surface BRF Product: A Case Study of the Central Part of Northeast Asia

1. College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China;

2. Climate Centre of Jilin Province, Changchun 130062, China

Corresponding author: CHEN Shengbo.E-mail:chensb@jlu.edu.cn

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留言板

Spatio-temporal Characteristics of Area Coverage and Observation Geometry of the MISR Land-surface BRF Product: A Case Study of the Central Part of Northeast Asia

doi: 10.1007/s11769-019-1052-0

通讯作者: CHEN Shengbo.E-mail:chensb@jlu.edu.cn

Spatio-temporal Characteristics of Area Coverage and Observation Geometry of the MISR Land-surface BRF Product: A Case Study of the Central Part of Northeast Asia

Corresponding author: CHEN Shengbo.E-mail:chensb@jlu.edu.cn

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出版历程

Spatio-temporal Characteristics of Area Coverage and Observation Geometry of the MISR Land-surface BRF Product: A Case Study of the Central Part of Northeast Asia

doi: 10.1007/s11769-019-1052-0

1. College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China; 2. Climate Centre of Jilin Province, Changchun 130062, China

通讯作者: CHEN Shengbo.E-mail:chensb@jlu.edu.cn

English Abstract

Spatio-temporal Characteristics of Area Coverage and Observation Geometry of the MISR Land-surface BRF Product: A Case Study of the Central Part of Northeast Asia

1. College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China; 2. Climate Centre of Jilin Province, Changchun 130062, China

Corresponding author: CHEN Shengbo.E-mail:chensb@jlu.edu.cn

全文HTML

目录

通讯作者:
CHEN Shengbo.E-mail:chensb@jlu.edu.cn

1. College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China;

2. Climate Centre of Jilin Province, Changchun 130062, China

1. College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China;

2. Climate Centre of Jilin Province, Changchun 130062, China