{
    "created": "2019-12-04 09:39:08",
    "updated": "2026-04-19 17:00:46",
    "id": "b555f6f5-88fa-4571-8ffc-0f1c00b9cd13",
    "version": null,
    "ds_topic": null,
    "title_cn": "中国地区长时间序列GIMMS植被指数数据集",
    "title_en": "Long time series GIMMS vegetation index data set in China",
    "ds_abstract": "<p>该数据集包括了1981－2006年间的全球植被指数变化，格式为ENVI标准格式，投影为ALBERS,其时间分辨率是15天，空间分辨率8km。GIMMS NDVI数据采用卫星数据的格式记录了22a区域植被的变化情况。</p>\n\n<p>1、文件格式：</p>\n\n<p>GIMMS-NDVI数据集中包含了从1981年7月至2006年间隔为15天的所有.rar压缩文件，解压以后包括1个XML文档、一个.HDR头文件、一个.IMG文件和一个.JPG图像文件。</p>\n\n<p>2、文件命名：</p>\n\n<p>NOAA/AVHRR-NDVI数据集中的压缩文件命名规则为：YYMMM15a(b).n<strong>-VIg_data_envi.rar，其中YY-年，MMM-简写的英文月份字母，15a-上半月份合成，15b-下半月份合成，</strong>-卫星号。解压之后有4个文件，文件名不变，属性分别为：XML文档，头文件（后缀名为：.HDF），遥感影像文件（后缀名为：.IMG）和JPEG图像文件。这个数据集中，用户用来分析植被指数的是后缀名为.IMG的遥感影像文件文件。</p>\n\n<p>用户用来分析植被指数的后缀名为.IMG和.HDF的遥感影像文件文件，都可以在ENVI和ERDAS软件中打开。</p>\n\n<p>3、数据头文件信息如下：</p>\n\n<p>Coordinate System is:</p>\n\n<p>PROJECTION[\"Albers_Conic_Equal_Area\"],</p>\n\n<p>PARAMETER[\"standard_parallel_1\",25],</p>\n\n<p>PARAMETER[\"standard_parallel_2\",47],</p>\n\n<p>PARAMETER[\"latitude_of_center\",0],</p>\n\n<p>PARAMETER[\"longitude_of_center\",105],</p>\n\n<p>PARAMETER[\"false_easting\",0],</p>\n\n<p>PARAMETER[\"false_northing\",0],</p>\n\n<p>UNIT[\"Meter\",1]]</p>\n\n<p>Pixel Size = (8000.000000000000000,-8000.000000000000000)</p>\n\n<p>Corner Coordinates:</p>\n\n<p>Upper Left (-3922260.739, 6100362.950) ( 51d20'23.06\"E, 46d21'21.43\"N)</p>\n\n<p>Lower Left (-3922260.739, 1540362.950) ( 71d16'1.22\"E, 8d41'42.21\"N)</p>\n\n<p>Upper Right ( 3277739.261, 6100362.950) (151d 8'57.22\"E, 49d 9'35.37\"N)</p>\n\n<p>Lower Right ( 3277739.261, 1540362.950) (133d30'58.46\"E, 10d37'13.35\"N)</p>\n\n<p>Center ( -322260.739, 3820362.950) (101d22'21.08\"E, 35d42'18.02\"N)</p>\n\n<p>Band 1 Block=900x1 Type=Int16, ColorInterp=Undefined</p>\n\n<p>Computed Min/Max=-16066.000,11231.000</p>\n\n<p>4.DN值与NDVI的转换关系</p>\n\n<p>NDVI= DN/1000 ,2003年之后除以10000</p>\n\n<p>NDVI值应在[-1,1]之间，此区间以外数据代表其他地物，如水体等。</p>",
    "ds_source": "<p>GIMMS（glaobal inventory modelling and mapping studies)NDVI数据是美国国家航天航空局（NASA)C-J-Tucker等人于2003年11月推出的最新全球植被指数变化数据。</p>",
    "ds_process_way": "<p>原始数据</p>",
    "ds_quality": "",
    "ds_acq_start_time": "1981-01-01 00:00:00",
    "ds_acq_end_time": "2006-12-31 00:00:00",
    "ds_acq_place": "中国",
    "ds_acq_lon_east": 135.5,
    "ds_acq_lat_south": 17.8,
    "ds_acq_lon_west": 73.2,
    "ds_acq_lat_north": 53.86666666666667,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "login-access",
    "ds_total_size": 3645669311,
    "ds_files_count": 2,
    "ds_format": "栅格",
    "ds_space_res": "8000.0m",
    "ds_time_res": "15天",
    "ds_coordinate": "WGS84",
    "ds_projection": "+proj=longlat +datum=WGS84 +no_defs",
    "ds_thumbnail": "b555f6f5-88fa-4571-8ffc-0f1c00b9cd13.png",
    "ds_thumb_from": 0,
    "ds_ref_way": "马明国，中国地区长时间序列GIMMS植被指数数据集，国家冰川冻土沙漠科学数据中心(http://www.ncdc.ac.cn/)，2019，doi：10.12072/ncdc.westdc.db3901.2023",
    "paper_ref_way": null,
    "ds_ref_instruction": null,
    "ds_from_station": null,
    "organization_id": "9c4867b1-5cb1-4de0-abeb-df42547bf41e",
    "ds_serv_man": "李红星 ",
    "ds_serv_phone": "0931-4967592",
    "ds_serv_mail": "lihongxing@lzb.ac.cn",
    "doi_value": "",
    "subject_codes": null,
    "quality_level": 3,
    "publish_time": "2020-03-26 11:40:19",
    "last_updated": "2023-08-23 16:02:22",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.ncdc.Westdc.2020.682",
    "i18n": {
        "en": {
            "title": "Long time series GIMMS vegetation index data set in China",
            "ds_format": "",
            "ds_source": "<p>GIMMS (global inventory modeling and mapping studies) NDVI data is the latest global vegetation index change data released by NASA c-j-tucker and others in November 2003. </p>",
            "ds_quality": "",
            "ds_ref_way": "<p>Tucker, C.J., J.E.Pinzon, and M.E.Brown (2004), Global Inventory Modeling and Mapping Studies, NA94apr15b.n11-VIg, 2.0, Global Land Cover Facility, University of Maryland, College Park, Maryland, 04/15/1994.</p>",
            "ds_abstract": "<p>The data set includes the global vegetation index changes from 1981 to 2006. The format is envi standard format, and the projection is Albers. The temporal resolution is 15 days, and the spatial resolution is 8km. GIMMS NDVI data used satellite data format to record vegetation changes in 22a region. </p>\n<p>1. File format:</p>\n<p>Gimms-ndvi data set contains all the. Rar compressed files from July 1981 to 2006. After decompression, it includes 1 XML document, 1. HDR header file, 1. Img file and 1. JPG image file. </p>\n<p>2. File name:</p>\n<p>The naming rules of compressed files in NOAA / avhrr-ndvi dataset are yymmm15a (b). N &lt; strong &gt; - vig_data_envi.rar, where YY - year, mmm - simplified English month letter, 15A - first half month synthesis, 15b - second half month synthesis, and &lt; / strong &gt; - satellite. After decompression, there are four files with the same file name. The attributes are: XML document, header file (suffix:. HDF), remote sensing image file (suffix:. IMG) and JPEG image file. In this dataset, the remote sensing image file with suffix of. Img is used by users to analyze vegetation index. </p>\n<p>Remote sensing image files with suffixes of. Img and. HDF used by users to analyze vegetation index can be opened in ENVI and ERDAS software. </p>\n<p>3. The header file information is as follows:</p>\n<p>Coordinate System is:</p>\n<p>PROJECTION[\"Albers_Conic_Equal_Area\"],</p>\n<p>PARAMETER[\"standard_parallel_1\",25],</p>\n<p>PARAMETER[\"standard_parallel_2\",47],</p>\n<p>PARAMETER[\"latitude_of_center\",0],</p>\n<p>PARAMETER[\"longitude_of_center\",105],</p>\n<p>PARAMETER[\"false_easting\",0],</p>\n<p>PARAMETER[\"false_northing\",0],</p>\n<p>UNIT[\"Meter\",1]]</p>\n<p>Pixel Size = (8000.000000000000000,-8000.000000000000000)</p>\n<p>Corner Coordinates:</p>\n<p>Upper Left (-3922260.739, 6100362.950) ( 51d20'23.06\"E, 46d21'21.43\"N)</p>\n<p>Lower Left (-3922260.739, 1540362.950) ( 71d16'1.22\"E, 8d41'42.21\"N)</p>\n<p>Upper Right ( 3277739.261, 6100362.950) (151d 8'57.22\"E, 49d 9'35.37\"N)</p>\n<p>Lower Right ( 3277739.261, 1540362.950) (133d30'58.46\"E, 10d37'13.35\"N)</p>\n<p>Center ( -322260.739, 3820362.950) (101d22'21.08\"E, 35d42'18.02\"N)</p>\n<p>Band 1 Block=900x1 Type=Int16, ColorInterp=Undefined</p>\n<p>Computed Min/Max=-16066.000,11231.000</p>\n<p>4. Conversion relationship between DN value and NDVI</p>\n<p>NDVI = dn / 1000, after 2003 divided by 10000</p>\n<p>The NDVI value should be between [- 1,1], and the data outside this range represent other features, such as water body, etc. </p>",
            "ds_time_res": "15天",
            "ds_acq_place": "",
            "ds_space_res": "8000.0m",
            "ds_projection": "",
            "ds_process_way": "<p>Raw data</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 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,
    "license_type": "CC BY 4.0",
    "ds_topic_tags": [
        "NDVI",
        "植被指数",
        "GIMMS"
    ],
    "ds_subject_tags": [
        "自然地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "中国"
    ],
    "ds_time_tags": [
        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
    ],
    "ds_contributors": [
        {
            "true_name": "马明国",
            "email": "mmg@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": "马明国",
            "email": "mmg@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": "马明国",
            "email": "mmg@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": "基础地理"
}