{
    "created": "2025-11-18 09:13:32",
    "updated": "2026-04-09 15:29:08",
    "id": "84b72b77-0f1c-435d-8723-61bb34ec2249",
    "version": 7,
    "ds_topic": null,
    "title_cn": "全球逐年500 m地表覆盖数据集（2001-2024年）",
    "title_en": "Global annual 500 meter land cover dataset (2001-2024)",
    "ds_abstract": "<p>&emsp;&emsp;地表覆盖数据描绘了陆地表面生态状况和生物物理属性。它是生态环境评估、陆表模型构建、资源规划管理等科学研究的基础支撑数据。为满足气候变化下冰冻圈领域对地表覆盖时空数据的共性需求，基于MODIS C61 MCD12Q1数据产品，通过格式转换、重投影、提取、质控、融合等处理流程，生成了IGBP、UMD、LAI、BGC、PFT等 5种地表覆盖分类方案的全球数据集。本数据集提供了全球视角下地表覆盖的时空变化信息，不仅可直接用于分析中国及周边地区地表覆盖的时空变化和趋势，也可为气候变化背景下区域生态系统演变、土地利用变化等研究提供基础资料。</p>",
    "ds_source": "<p>&emsp;&emsp;以MODIS MCD12Q1作为基础数据，Landsat-5、7、8与9的彩色合成影像作为辅助数据。这些数据来源于美国国家航空航天局(/www.earthdata.nasa.gov)和美国地质调查局(earthexplorer.usgs.gov)。</p>",
    "ds_process_way": "<p>&emsp;&emsp;数据集的生成主要包括3个步骤：(1) 对数据文件格式、坐标系统、分辨率等进行转换处理，依据每个条带号，生成逐年、空间分辨率为500m的GeoTIFF文件；(2) 按照QC层，提取每种地表覆盖分类方案所对应的数据，并对同一个像元所对应的8种类别进行一致性检查，若存在冲突则将其与Landsat彩色合成影像进行叠加校验，采用众数作为判别规则；(3) 将通过检验的每个数据文件，依据地表覆盖分类方案和年份进行空间融合计算，生成全球逐年地表覆盖空间格局数据集。</p>",
    "ds_quality": "<p>&emsp;&emsp;数据集按照年份和分类方案进行组织，命名规则为GIobalLandCover[分类方案]500m[年份].tif。数据质量整体与MODIS MCD12Q1产品一致，总体精度在70%-80%之间。</p>",
    "ds_acq_start_time": "2001-01-01 00:00:00",
    "ds_acq_end_time": "2024-12-31 00:00:00",
    "ds_acq_place": "全球",
    "ds_acq_lon_east": 180.0,
    "ds_acq_lat_south": 90.0,
    "ds_acq_lon_west": 180.0,
    "ds_acq_lat_north": 90.0,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "login-access",
    "ds_total_size": 9000336288,
    "ds_files_count": 121,
    "ds_format": "GeoTIFF",
    "ds_space_res": "500米",
    "ds_time_res": "年",
    "ds_coordinate": "WGS84",
    "ds_projection": "GCS_WGS_1984",
    "ds_thumbnail": "234a86fb-0f1b-4fcc-a986-12961b8d1ef4.jpg",
    "ds_thumb_from": 0,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "",
    "ds_from_station": null,
    "organization_id": "9de89acc-5714-4927-aba3-ac88067dff8a",
    "ds_serv_man": "李红星",
    "ds_serv_phone": "0931-4967592",
    "ds_serv_mail": "lihongxing@lzb.ac.cn",
    "doi_value": "",
    "subject_codes": [
        "170"
    ],
    "quality_level": 3,
    "publish_time": "2025-11-19 08:49:37",
    "last_updated": "2025-11-21 08:56:03",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.NCDC.NIEER.DB7005.2025",
    "license": null,
    "i18n": {
        "en": {
            "title": "Global annual 500 meter land cover dataset (2001-2024)",
            "ds_format": "",
            "ds_source": "",
            "ds_quality": "",
            "ds_ref_way": "",
            "ds_abstract": "",
            "ds_time_res": "年",
            "ds_acq_place": "worldwide",
            "ds_space_res": "500米",
            "ds_projection": "",
            "ds_process_way": "",
            "ds_ref_instruction": ""
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 0,
    "license_type": "CC BY 4.0",
    "ds_topic_tags": [
        "地表覆盖",
        "土地利用",
        "全球",
        "2001-2024",
        "500m",
        "IGBP",
        "UMD",
        "LAI",
        "BGC"
    ],
    "ds_subject_tags": [
        "地球科学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "全球"
    ],
    "ds_time_tags": [
        2001,
        2002,
        2003,
        2004,
        2005,
        2006,
        2007,
        2008,
        2009,
        2010,
        2011,
        2012,
        2013,
        2014,
        2015,
        2016,
        2017,
        2018,
        2019,
        2020,
        2021,
        2022,
        2023,
        2024
    ],
    "ds_contributors": [
        {
            "true_name": "赵国辉",
            "email": "zhgh@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": "赵国辉",
            "email": "zhgh@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": "赵国辉",
            "email": "zhgh@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"
}