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<md:lastName>Guo</md:lastName>
<md:firstName>Jing</md:firstName>
<md:eMail>202131051030@mail.bnu.edu.cn</md:eMail>
<md:orcid>0009-0005-5628-4721</md:orcid>
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<md:name>Beijing Normal University</md:name>
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<md:author id="dataset.author106199">
<md:lastName>Jiao</md:lastName>
<md:firstName>Ziti</md:firstName>
<md:eMail>jiaozt@mail.bnu.edu.cn</md:eMail>
<md:affiliation id="dataset.author106199.inst21628">
<md:name>Beijing Normal University</md:name>
<md:ROR>https://ror.org/022k4wk35</md:ROR>
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</md:author>
<md:year>2024</md:year>
<md:title>A detailed snow POLDER bidirectional reflectance distribution function (BRDF) database in Arctic, version 2</md:title>
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<md:URI>https://doi.org/10.1594/PANGAEA.973635</md:URI>
<md:dateTime>2024-11-22T09:48:04</md:dateTime>
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<md:abstract>The POLDER multi-angle dataset stands as one of the most significant datasets in multi-angle quantitative remote sensing, with previous applications primarily focusing on non-snow-covered surfaces. This dataset provides a more detailed classification of POLDER snow Bidirectional Reflectance Distribution Function (BRDF) data located within the Arctic Circle in 2008 based on the previous database (Breon and Maignan, 2017). Initially, constraints were applied to the angular sampling distribution, retaining pixels only with observations present in both forward and backward scattering directions on the principal plane. Subsequently, the high-precision snow BRDF model RossThick-LiSparse Reciprocal Snow model (RTLSRS) (Jiao et.al, 2019) was employed to constrain the data uncertainty, removing pixels with RMSE greater than 0.04 in red band. After screening, a total of 153 pixels were retained, followed by further detailed classification, validation using corresponding MOD10A2 products, supplemented by ArcticDEM and vegetation distribution maps within the Arctic Circle. Ultimately, these datasets were categorized into snow (shady slope, sunny slope) and non-snow (vegetation-dominated, mountain complex-dominated) categories. Such datasets hold significant importance for future applications of multi-angle data on snow-covered surfaces and represent further analysis and optimization of existing snow databases.</md:abstract>
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<md:lastName>Bréon</md:lastName>
<md:firstName>François-Marie</md:firstName>
<md:eMail>fmbreon@cea.fr</md:eMail>
<md:orcid>0000-0003-2128-739X</md:orcid>
</md:author>
<md:year>2016</md:year>
<md:title>A BRDF-BPDF database for the analysis of Earth targets reflectances</md:title>
<md:type id="refds864090.reftype10" includeInCitation="true">dataset</md:type>
<md:source id="refds864090.sourceinst831" semanticURI="https://ror.org/03dsd0g48" type="institution">Laboratoire des Sciences du Climat et de l'Environnement, Saclay</md:source>
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<md:lastName>Bréon</md:lastName>
<md:firstName>François-Marie</md:firstName>
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<md:author id="ref81445.author47165">
<md:lastName>Maignan</md:lastName>
<md:firstName>Fabienne</md:firstName>
<md:orcid>0000-0001-5024-5928</md:orcid>
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<md:year>2016</md:year>
<md:title>A BRDF-BPDF database for the analysis of Earth targets reflectances</md:title>
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<md:source id="ref81445.journal16590" relatedTermIds="33974" type="journal">Earth System Science Data</md:source>
<md:volume>9</md:volume>
<md:URI>https://doi.org/10.5194/essd-9-31-2017</md:URI>
<md:pages>31-45</md:pages>
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<md:author id="ref126799.author106199">
<md:lastName>Jiao</md:lastName>
<md:firstName>Ziti</md:firstName>
<md:eMail>jiaozt@mail.bnu.edu.cn</md:eMail>
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<md:author id="ref126799.author106200">
<md:lastName>Ding</md:lastName>
<md:firstName>Anxin</md:firstName>
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<md:lastName>Kokhanovsky</md:lastName>
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<md:lastName>Schaaf</md:lastName>
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<md:author id="ref126799.author44686">
<md:lastName>Bréon</md:lastName>
<md:firstName>François-Marie</md:firstName>
<md:eMail>fmbreon@cea.fr</md:eMail>
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<md:author id="ref126799.author106201">
<md:lastName>Dong</md:lastName>
<md:firstName>Yadong</md:firstName>
</md:author>
<md:author id="ref126799.author106202">
<md:lastName>Wang</md:lastName>
<md:firstName>Zhuosen</md:firstName>
<md:orcid>0000-0002-6766-275X</md:orcid>
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<md:author id="ref126799.author106207">
<md:lastName>Liu</md:lastName>
<md:firstName>Yan</md:firstName>
</md:author>
<md:author id="ref126799.author106203">
<md:lastName>Zhang</md:lastName>
<md:firstName>Xiaoning</md:firstName>
</md:author>
<md:author id="ref126799.author106204">
<md:lastName>Yin</md:lastName>
<md:firstName>Siyang</md:firstName>
</md:author>
<md:author id="ref126799.author106205">
<md:lastName>Cui</md:lastName>
<md:firstName>Lei</md:firstName>
</md:author>
<md:author id="ref126799.author47584">
<md:lastName>Mei</md:lastName>
<md:firstName>Linlu</md:firstName>
</md:author>
<md:author id="ref126799.author106206">
<md:lastName>Chang</md:lastName>
<md:firstName>Yaxuan</md:firstName>
</md:author>
<md:year>2019</md:year>
<md:title>Development of a snow kernel to better model the anisotropic reflectance of pure snow in a kernel-driven BRDF model framework</md:title>
<md:type id="ref126799.reftype1">journal article</md:type>
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<md:volume>221</md:volume>
<md:URI>https://doi.org/10.1016/j.rse.2018.11.001</md:URI>
<md:pages>198-209</md:pages>
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<md:title>A detailed snow POLDER BRDF database in Arctic: Format of the files</md:title>
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<md:number>41971288</md:number>
<md:title>Research on Remote Sensing Inversion of Vegetation Clumping Index, Scale Effects, and Product Validation Methods</md:title>
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<md:number>42090013</md:number>
<md:title>Theoretical and Methodological Research on Land Surface Intelligent Quantitative Remote Sensing / Active-Passive Synergistic Remote Sensing Modeling and Intelligent Inversion of Carbon Cycle Vegetation Structural Parameters / Multi-Source Data Information Assessment and Intelligent Inversion of Vegetation Parameters</md:title>
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<md:history datetime="2024-11-22T08:21:58">This version replaces the previous dataset doi:10.1594/PANGAEA.969632, in which some data were reported repeatedly</md:history>
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