{
    "created": "2018-05-07 03:06:40",
    "updated": "2026-04-19 09:14:04",
    "id": "69bd4263-9b03-4922-a17c-135ab686c7f0",
    "version": 4,
    "ds_topic": null,
    "title_cn": "青海湖流域长时间序列GIMMS植被指数数据集",
    "title_en": "Long Term Vegetation Index Dataset of the Qinghai Lake River Basin – GIMMS",
    "ds_abstract": "<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>\n\n<p>该数据集为青海湖流域长时间序列GIMMS植被指数数据集，包含1981－2006年间的植被指数变化，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>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</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>原始数据合成</p>",
    "ds_quality": "<p>数据质量良好</p>",
    "ds_acq_start_time": "1986-01-01 00:00:00",
    "ds_acq_end_time": "2006-12-31 00:00:00",
    "ds_acq_place": "青海湖流域",
    "ds_acq_lon_east": 101.44972222222222,
    "ds_acq_lat_south": 36.166666666666664,
    "ds_acq_lon_west": 97.51666666666667,
    "ds_acq_lat_north": 38.416666666666664,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "login-access",
    "ds_total_size": 1193222,
    "ds_files_count": 3,
    "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": "69bd4263-9b03-4922-a17c-135ab686c7f0.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": "2020-04-08 15:01:23",
    "last_updated": "2023-06-14 17:38:51",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.ncdc.Westdc.2020.315",
    "i18n": {
        "en": {
            "title": "Long Term Vegetation Index Dataset of the Qinghai Lake River Basin – GIMMS",
            "ds_format": "Raster",
            "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": "<p>The data quality is good</p>",
            "ds_ref_way": "",
            "ds_abstract": "<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>\n<p>The data set is a long-term GIMMS vegetation index data set of Qinghai Lake Basin, including the vegetation index changes from 1981 to 2006, with a time resolution of 15 days and a spatial resolution of 8km. GIMMS NDVI data used satellite data format to record vegetation changes in 22a region. </p>\n<p>The naming rules of compressed files in NOAA/AVHRR-NDVI dataset are yymmm15a (b). N <strong>-VIg_data_envi.rar, where YY-year, mmm-abbreviated English month letter, 15a-first half month synthesis, 15b-second half month synthesis, </strong> - Satellite</p>",
            "ds_time_res": "15天",
            "ds_acq_place": "Qinghai Lake Basin",
            "ds_space_res": "8000.0m",
            "ds_projection": "+proj=longlat +datum=WGS84 +no_defs",
            "ds_process_way": "<p>Raw data synthesis</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."
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 0,
    "license_type": "CC BY 4.0",
    "ds_topic_tags": [
        "NDVI",
        "植被指数"
    ],
    "ds_subject_tags": [
        "自然地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "青海湖流域"
    ],
    "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": "吴立宗",
            "email": "wulizong@pric.org.cn",
            "work_for": "国家极地科学数据中心",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "吴立宗",
            "email": "wulizong@pric.org.cn",
            "work_for": "国家极地科学数据中心",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "李红星",
            "email": "lihongxing@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"
}