2008年全国遥感年平均地表温度和冻结指数是冉有华等（2015）基于MODIS Aqua/Terra逐日四次的5公里瞬时地表温度数据产品，发展了新的年平均地表温度和冻结指数估计方法，该方法利用上下午LST观测的平均获取日平均地表温度，方法的核心是如何恢复LST产品的缺失数据，该方法有两个特点：（1）将遥感观测到的日地表温度变幅进行了空间插值，利用插值获取的空间连续的日地表温度变幅，使一天只有一次的卫星观测数据得到应用；（2）利用了一个新的缺失数据时间序列滤波方法，即基于离散余弦变换的惩罚最小二乘回归方法。
\n\n验证表明，年平均地表温度与冻结指数的精度只与原始MODIS LST的精度有关，即保持了MODIS LST产品的精度。可用于冻土制图及相关资源环境应用。
", "ds_source": "2008年全国遥感年平均地表温度和冻结指数是冉有华等（2015）基于MODIS Aqua/Terra逐日四次的5公里瞬时地表温度数据产品。
", "ds_process_way": "仪器自动观测 人工统计数据
", "ds_quality": "数据集通过严格的人工审核控制质量
", "ds_acq_start_time": "2008-01-01 00:00:00", "ds_acq_end_time": null, "ds_acq_place": "中国", "ds_acq_lon_east": 140.0, "ds_acq_lat_south": 15.0, "ds_acq_lon_west": 60.0, "ds_acq_lat_north": 55.0, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "open-access", "ds_total_size": 7217698, "ds_files_count": 4, "ds_format": "栅格数据", "ds_space_res": "5000.0m", "ds_time_res": "", "ds_coordinate": "WGS84", "ds_projection": "lon-lat", "ds_thumbnail": "803901c0-ca43-4df5-aa64-8372c45f67ca.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "None", "ds_from_station": null, "organization_id": "9c4867b1-5cb1-4de0-abeb-df42547bf41e", "ds_serv_man": "寒区旱区科学数据中心", "ds_serv_phone": "0931-4967287", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2020-04-08 09:20:25", "last_updated": "2026-01-22 17:29:54", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.Westdc.2020.394", "i18n": { "en": { "title": "Annual average surface temperature and freezing index of remote sensing in 2008", "ds_format": "Raster", "ds_source": "In 2008, the National Remote Sensing annual average surface temperature and freezing index is a 5km instantaneous surface temperature data product based on MODIS Aqua / Terra four times a day by ran Youhua et al. (2015).
", "ds_quality": "The dataset is controlled for quality through strict manual review
", "ds_ref_way": "", "ds_abstract": "Ran Youhua et al. (2015) based on MODIS Aqua / Terra develops a new method to estimate the annual average surface temperature and freezing index by using the average of LST observed in the last afternoon. The core of this method is how to recover the missing data of LST products. This method has two characteristics: (1) the variation of LST observed by remote sensing is carried out in space Inter interpolation, using the spatial continuous daily surface temperature variation obtained by interpolation, so that only once a day satellite observation data can be applied; (2) using a new missing data time series filtering method, that is, based on the discrete cosine transform, the penalty least square regression method.
\nThe results show that the accuracy of annual mean surface temperature and freezing index is only related to the accuracy of original MODIS LST, that is to say, the accuracy of MODIS LST products is maintained. It can be used in permafrost mapping and related resources and environment applications.
", "ds_time_res": "", "ds_acq_place": "China", "ds_space_res": "5000.0m", "ds_projection": "lon-lat", "ds_process_way": "Automatic observation of instruments and manual statistical data
", "ds_ref_instruction": "In order to respect intellectual property rights, protect the rights and interests of data authors, expand the services of data centers, and evaluate the application potential of data, data users are requested to clearly indicate the data source and data authors in the research results (including published papers, works, data products and unpublished research reports, data products, etc.) produced by using data. For data reprinted (secondary or multiple releases), the author must also indicate the source of the original data." } }, "submit_center_id": "ncdc", "data_level": 0, "recommendation_value": 0, "license_type": "https://creativecommons.org/licenses/by/4.0/", "doi_reg_from": "reg_local", "cstr_reg_from": "reg_local", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "belong_to_nieer": false, "ds_topic_tags": [ "地表温度", "冻结指数" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "中国" ], "ds_time_tags": [ 2008 ], "ds_contributors": [ { "true_name": "冉有华", "email": "ranyh@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "敏玉芳", "email": "myf@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "冉有华", "email": "ranyh@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_managers": [ { "true_name": "冉有华", "email": "ranyh@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "category": "遥感及产品" }