本数据集提供了 2003-2023 年全球范围内空间分辨率为 0.05°（约 5 km）的月均地表土壤与植被组分温度数据。该数据集的组分温度基于 MODIS 地表温度产品与 ERA5-Land 辅助数据，通过 FuSVeT 算法反演获取（Liu 等，2025，《环境遥感》，https://doi.org/10.1016/j.rse.2024.114564）。\n
数据集包含 504 景月度 GeoTIFF 格式影像，数据类型为 16 位无符号整数（UInt16），缩放因子为 0.02，缺失值为 65535，温度单位为开尔文（K）；数据按年份、半年时段（1-6 月、7-12 月）及组分类型（土壤 / 植被）整理为 84 个压缩数据包。\n
数据集覆盖南极洲以外的全球陆地区域，可支撑陆气相互作用、地表能量平衡分配及生态系统热力学相关研究。", "ds_source": "
该数据集的组分温度基于 MODIS 地表温度产品与 ERA5-Land 辅助数据，通过 FuSVeT 算法反演获取（Liu 等，2025，《环境遥感》，https://doi.org/10.1016/j.rse.2024.114564）。", "ds_process_way": "
基于 MODIS 地表温度产品与 ERA5-Land 辅助数据，通过 FuSVeT 算法反演获取。", "ds_quality": "
基于通量观测网络的验证结果显示，该数据集均方根误差约为 2.0 K，具备良好的一致性与物理可靠性。", "ds_acq_start_time": "2003-01-01 00:00:00", "ds_acq_end_time": "2023-12-31 00:00:00", "ds_acq_place": "全球陆地区域（南极洲除外）", "ds_acq_lon_east": null, "ds_acq_lat_south": null, "ds_acq_lon_west": null, "ds_acq_lat_north": null, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 4974035007, "ds_files_count": 2, "ds_format": "GeoTIFF", "ds_space_res": "0.05°× 0.05°", "ds_time_res": "月", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "e687a2e2-e4cb-49e1-8ddf-a93ba4d4e603.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "0a4269e1-65f4-45f1-aeba-88ea3068eebf", "ds_serv_man": "李红星", "ds_serv_phone": "0931-4967592", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2026-03-23 17:52:10", "last_updated": "2026-03-23 17:52:10", "protected": false, "protected_to": null, "lang": "zh", "cstr": null, "i18n": { "en": { "title": "GloSVeT: a global 0.05° monthly mean surface soil and vegetation component temperature dataset (2003-2023)", "ds_format": "GeoTIFFs ", "ds_source": "
The component temperatures of this dataset are based on MODIS surface temperature products and ERA5 Land auxiliary data, and are inverted using the FuSVeT algorithm (Liu et al., 2025, Environmental Remote Sensing), https://doi.org/10.1016/j.rse.2024.114564 ）.", "ds_quality": "
Validation against flux observation networks indicates a root-mean-square error of about 2.0 K, demonstrating good consistency and physical reliability.", "ds_ref_way": "", "ds_abstract": "
The GloSVeT dataset provides global 0.05° (~5 km) monthly mean surface soil and vegetation component temperatures for the period 2003–2023. The component temperatures were retrieved using the FuSVeT algorithm based on MODIS land surface temperature (LST) products and ERA5-Land auxiliary data (Liu et al., 2025, Remote Sensing of Environment, https://doi.org/10.1016/j.rse.2024.114564).
The dataset contains 504 monthly GeoTIFF files (UInt16, scale factor = 0.02, missing data = 65535, unit = K), organized into 84 compressed packages by year, half-year period (01–06 and 07–12), and component (soil/vegetation).
The dataset covers global land areas excluding Antarctica and can be used for studies of land–atmosphere interactions, surface energy balance partitioning, and ecosystem thermodynamics.", "ds_time_res": "月", "ds_acq_place": "Global land areas (excluding Antarctica)", "ds_space_res": "0.05°× 0.05°", "ds_projection": "", "ds_process_way": "
Based on MODIS surface temperature products and ERA5 Land auxiliary data, it is obtained by inversion using the FuSVeT algorithm.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "https://creativecommons.org/licenses/by/4.0/", "doi_reg_from": "reg_outside", "cstr_reg_from": "reg_outside", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "ds_topic_tags": [ "地表土壤", "植被组分", "温度数据", "0.05°" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "全球陆地区域（南极洲除外）" ], "ds_time_tags": [ 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 ], "ds_contributors": [ { "true_name": "李召良", "email": "lizhaoliang@caas.cn", "work_for": "中国农业科学院农业资源与农业区划研究所 (CAAS)", "country": "中国" }, { "true_name": "刘向阳", "email": "liuxiangyang@caas.cn", "work_for": "中国农业科学院农业资源与农业区划研究所", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "刘向阳", "email": "liuxiangyang@caas.cn", "work_for": "中国农业科学院农业资源与农业区划研究所", "country": "中国" }, { "true_name": "李召良", "email": "lizhaoliang@caas.cn", "work_for": "中国农业科学院农业资源与农业区划研究所 (CAAS)", "country": "中国" } ], "ds_managers": [ { "true_name": "刘向阳", "email": "liuxiangyang@caas.cn", "work_for": "中国农业科学院农业资源与农业区划研究所", "country": "中国" }, { "true_name": "李召良", "email": "lizhaoliang@caas.cn", "work_for": "中国农业科学院农业资源与农业区划研究所 (CAAS)", "country": "中国" } ], "category": "生态" }