{
    "created": "2019-10-10 16:34:43",
    "updated": "2026-05-12 12:05:35",
    "id": "1ad24155-42b8-42a0-9825-d4268182271d",
    "version": 2,
    "ds_topic": null,
    "title_cn": "中国长序列地表冻融数据集——双指标算法（1978-2015）",
    "title_en": "A long series surface freeze-thaw dataset of China - a dual indicator algorithm (1978-2015)",
    "ds_abstract": "<p>本数据集采用SMMR（1978-1987）、SSM/I（1987-2009）和SSMIS（2009-2015）逐日亮温数据，由双指标（TB,37v，SG）冻融判别算法生成，分类结果包含冻结地表、融化地表、沙漠及水体四种类型。数据覆盖范围为中国大陆主体部分，空间分辨率为25.067525 km，EASE-Grid投影方式，以ASCIIGRID格式存储。</p>\n\n<p>该数据集中的所有ASCII码文件可以直接用文本程序（如记事本）打开。除了头文件，主体内容为数值表征地表冻融的状态：1代表冻结，2代表融化，3代表沙漠，4代表降水。如果要用图示来显示的话，我们推荐用ArcView + 3D 或 Spatial Analyst 扩展模块来读取，在读取过程中会生成grid格式的文件，所显示的grid文件就是该ASCII码文件的图形表达。读取方法：</p>\n\n<p>[1] 在ArcView软件中添加3D或Spatial Analyst扩展模块，然后新建一个View；</p>\n\n<p>[2] 将View激活，点击File菜单，选择Import Data Source选项，弹出Import Data Source选择框，在此框中的Select import file type:中选择ASCII Raster，自动弹出选择源ASCII文件的对话框，点击寻找该数据集中的任一个ASCII文件，，然后按OK键；</p>\n\n<p>[3] 在Output Grid对话框中键入的Grid文件名字（建议使用有意义的文件名，以便以后自己查看）和点击存放此Grid文件的路径，再次按Ok键，然后按Yes（要选择整型数据），Yes（把生成grid文件调入到当前的view中）。生成的文件可以按照Grid文件标准进行属性编辑。这样就完成了显示将ASCII文件显示成Grid文件的过程。</p>\n\n<p>[4] 批处理时，可以使用ARCINFO的ASCIIGRID命令，编写成AML文件，再用Run命令在Grid模块中完成：</p>\n\n<p>Usage: ASCIIGRID <in_ascii_file> <out_grid> {INT | FLOAT}</p>\n\n<p>本数据的生产得到自然科学基金项目：中国西部环境与生态科学数据中心（90502010）、中国西部地区陆面数据同化系统研究（90202014）以及冻土主被动微波辐射传输模拟及其辐射散射特性研究（41071226）的支持。</p>",
    "ds_source": "<p>SMMR（1978-1987）、SSM/I（1987-2009）和SSMIS（2009-2015）逐日亮温数据</p>",
    "ds_process_way": "<p>双指标（TB,37v，SG）冻融判别算法</p>",
    "ds_quality": "<p>数据集通过严格的人工审核控制质量</p>",
    "ds_acq_start_time": "1978-10-28 00:00:00",
    "ds_acq_end_time": "2015-12-31 00:00:00",
    "ds_acq_place": "中国",
    "ds_acq_lon_east": 135.5,
    "ds_acq_lat_south": 17.766666666666666,
    "ds_acq_lon_west": 73.19972222222222,
    "ds_acq_lat_north": 53.86666666666667,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "login-access",
    "ds_total_size": 64689665,
    "ds_files_count": 5,
    "ds_format": "ASCII Grid",
    "ds_space_res": "25067.525m",
    "ds_time_res": "",
    "ds_coordinate": "WGS84",
    "ds_projection": "EASE-Grid投影",
    "ds_thumbnail": "1ad24155-42b8-42a0-9825-d4268182271d.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": "李红星",
    "ds_serv_phone": "0931-4967287",
    "ds_serv_mail": "westdc@lzb.ac.cn",
    "doi_value": "",
    "subject_codes": [
        "170.4510"
    ],
    "quality_level": 3,
    "publish_time": "2020-03-27 16:43:42",
    "last_updated": "2023-08-23 16:46:27",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.ncdc.Westdc.2020.634",
    "i18n": {
        "en": {
            "title": "A long series surface freeze-thaw dataset of China - a dual indicator algorithm (1978-2015)",
            "ds_format": "ASCII Grid",
            "ds_source": "<p>SMMR (1978-1987), SSM / I (1987-2009) and ssmis (2009-2015) daily brightness temperature data</p>",
            "ds_quality": "<p>Dual indicator (TB,37v, SG) freeze-thaw discriminant algorithm</p>",
            "ds_ref_way": "",
            "ds_abstract": "<p>This dataset uses SMMR (1978-1987), SSM/I (1987-2009) and SSMIS (2009-2015) day-by-day bright temperature data, generated by a dual-indicator (TB,37v, SG) freeze-thaw discrimination algorithm, and the classification results contain four types of frozen land surface, melting land surface, desert and water bodies. The data cover the main part of mainland China, with a spatial resolution of 25.067525 km, in EASE-Grid projection and stored in ASCIIGRID format. </p>\n<p>All ASCII files in this dataset can be opened directly with a text program (e.g. Notepad). Apart from the header file, the main content is a numerical representation of the state of freezing and thawing of ground: 1 for freezing, 2 for melting, 3 for desert and 4 for precipitation. To display this graphically, we recommend using ArcView + 3D or the Spatial Analyst extension to read it, which generates a grid format file during the reading process. Reading method: </p>\n<p>[1] Add the 3D or Spatial Analyst extension to the ArcView software and create a new View; </p>\n<p>[2] Activate the View, click on the File menu, select the Import Data Source option, the Import Data Source selection box will pop up, select ASCII Raster in the Select import file type: box, a dialog box to select the source ASCII file will pop up automatically, click on Find Click on Find any ASCII file in the dataset, and then press OK;</p>\n<p>[3] In the Output Grid dialog box type in the name of the Grid file (it is recommended to use a meaningful file name so that you can view it yourself later) and click on the path where this Grid file is stored, press Ok again and then press Yes (to select integer data) and Yes (to bring the generated grid file into the current view). The resulting file can be edited for properties according to the Grid file standard. This completes the process of displaying the ASCII file into a Grid file. </p>\n<p>[4] For batch processing, you can use ARCINFO's ASCIIGRID command, write it as an AML file, and then use the Run command to complete it in the Grid module: </p>\n<p>.</p>\n<p>Usage: ASCIIGRID <in_ascii_file> <out_grid> {INT | FLOAT} </out_grid></in_ascii_file></p>\n<p>The production of this data was supported by Natural Science Foundation projects: Western China Environmental and Ecological Science Data Centre (90502010), Research on Land Surface Data Assimilation System in Western China (90202014) and Simulation of Active Passive Microwave Radiative Transfer in Permafrost and its Radiation Scattering Characteristics (41071226). </p>",
            "ds_time_res": "",
            "ds_acq_place": "China",
            "ds_space_res": "25067.525m",
            "ds_projection": "",
            "ds_process_way": "<p>Double index (TB, 37V, SG) freeze-thaw discrimination algorithm</p>",
            "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 invited to use the data\r\nStudents' research results (including published papers, treatises, data products and unpublished research reports, data products, etc.) shall be clearly indicated with data\r\nSource and data author. For data reprinted (secondary or multiple releases), the author must also indicate the source of the original data. The results published in Chinese refer to the following specifications:\r\nThe data comes from the results published by the \"Heihe plan data management center\" (http://westdc.westgis.ac.cn) in English, and is indicated according to the following specifications: the data\r\nset is provided by Cold and Arid Regions Sciences Data Center at Lanzhou (http://westdc.westgis.ac.cn)"
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 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,
    "ds_topic_tags": [
        "双指标算法",
        "冻融"
    ],
    "ds_subject_tags": [
        "自然地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "中国"
    ],
    "ds_time_tags": [
        1978,
        1979,
        1980,
        1981,
        1982,
        1983,
        1984,
        1985,
        1986,
        1987,
        1988,
        1989,
        1990,
        1991,
        1992,
        1993,
        1994,
        1995,
        1996,
        1997,
        1998,
        1999,
        2000,
        2001,
        2002,
        2003,
        2004,
        2005,
        2006,
        2007,
        2008,
        2009,
        2010,
        2011,
        2012,
        2013,
        2014,
        2015
    ],
    "ds_contributors": [
        {
            "true_name": "晋锐",
            "email": "jinrui@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": "晋锐",
            "email": "jinrui@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": "晋锐",
            "email": "jinrui@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"
}