de.pangaea.dataset973635 und dataset PANGAEA

info@pangaea.de

https://www.pangaea.de/ information pointOfContact 2026-04-30T21:04:16Z https://doi.pangaea.de/10.1594/PANGAEA.973635 2024-11-22T09:48:04 publication https://doi.org/10.1594/PANGAEA.973635 Guo, Jing

202131051030@mail.bnu.edu.cn

https://orcid.org/0009-0005-5628-4721 information author Jiao, Ziti

jiaozt@mail.bnu.edu.cn

author PANGAEA

info@pangaea.de

https://www.pangaea.de/ information publisher tableDigital 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. completed Arctic multiangular database POLDER snow BRDF terrain effection vegetation and mountain complex theme 1995-01-01 creation PANGAEA

info@pangaea.de

https://www.pangaea.de/ information pointOfContact copyright copyright CC-BY-4.0: Creative Commons Attribution 4.0 International textTable und geoscientificInformation 0.0 0.0 90.0 90.0 application/zip unknown https://download.pangaea.de/dataset/973635/files/POLDER_database_Arctic_v2.zip download dataset The data set was checked for completeness, correctness, and consistency of metainformation. Validity of used methods was checked and - if applicable - precision and range of data. EVENT LABEL: Arctic * LATITUDE: 90.000000 * LONGITUDE: 0.000000 Source 2016-01-01 publication https://doi.org/10.1594/PANGAEA.864090 Bréon, François-Marie

fmbreon@cea.fr

https://orcid.org/0000-0003-2128-739X information author documentDigital Laboratoire des Sciences du Climat et de l'Environnement, Saclay Source 2016-01-01 publication https://doi.org/10.5194/essd-9-31-2017 Bréon, François-Marie

fmbreon@cea.fr

https://orcid.org/0000-0003-2128-739X information author Maignan, Fabienne https://orcid.org/0000-0001-5024-5928 information author documentDigital Earth System Science Data 9 31-45 References 2019-01-01 publication https://doi.org/10.1016/j.rse.2018.11.001 Jiao, Ziti

jiaozt@mail.bnu.edu.cn

author Ding, Anxin author Kokhanovsky, Alexander A https://orcid.org/0000-0001-7110-223X information author Schaaf, Crystal B https://orcid.org/0000-0002-9150-2975 information author Bréon, François-Marie

fmbreon@cea.fr

https://orcid.org/0000-0003-2128-739X information author Dong, Yadong author Wang, Zhuosen https://orcid.org/0000-0002-6766-275X information author Liu, Yan author Zhang, Xiaoning author Yin, Siyang author Cui, Lei author Mei, Linlu author Chang, Yaxuan author documentDigital Remote Sensing of Environment 221 198-209 Documentation documentHardcopy