{
    "created": "2020-05-27 03:00:22",
    "updated": "2026-04-12 06:39:45",
    "id": "b163c4f2-a682-402e-8536-c355bb0214a4",
    "version": 6,
    "ds_topic": "6741973d-507c-48ad-b01d-ba6b4c947112",
    "title_cn": "祁连山地区MODIS MOD13A2 增强型植被指数（EVI）数据集（2000-2014年）",
    "title_en": "MODIS MOD13A2 Enhanced Vegetation Index (EVI) Dataset in Qilian Mountains Region (2000-2014)",
    "ds_abstract": "<p>基于MODIS MOD13A2.005 增强型植被指数EVI数据集，将覆盖祁连山地区的分幅影像，利用MRT工具及Python语言代码，进行批量拼接、投影转换、裁剪等处理，生成2000-2014年祁连山地区MODIS MOD13A2 EVI数据。本数据集空间分辨率为1 km，时间分辨率为16天。</p>",
    "ds_source": "<p>本数据集的数据源为MOD13A2.v005 版本数据，涉及分幅影像网格为h25v04、h25v04和h26v05，空间分辩率为1 km，每16天合成。</p>",
    "ds_process_way": "<p>（1）试运行MRT工具，生成MOD13A2 EVI数据拼接和投影转换的prm文件，输出投影为albers投影（25, 47, 105, WGS_1984, False_Easting: 4000000），空间分辨率为1000 m。\n（2）利用MATLAB 语言程序生成调用MRT工具的批处理文件，并运行；\n（3）利用祁连山地矢量边界，采用Python批量裁剪等步骤，最后采用GeoTIFF格式输出保存。</p>",
    "ds_quality": "<p>本数据集与源数据集MODIS MOD13A2.005质量一致。数据有效范围-2000 to 10000，放缩因子为0.0001，填充值为-3000。</p>",
    "ds_acq_start_time": "2000-02-28 00:00:00",
    "ds_acq_end_time": "2014-12-31 00:00:00",
    "ds_acq_place": "祁连山地区",
    "ds_acq_lon_east": 103.9,
    "ds_acq_lat_south": 35.830000000000005,
    "ds_acq_lon_west": 93.5,
    "ds_acq_lat_north": 39.980000000000004,
    "ds_acq_alt_low": 1040.0,
    "ds_acq_alt_high": 5993.0,
    "ds_share_type": "login-access",
    "ds_total_size": 139671431,
    "ds_files_count": 3,
    "ds_format": "栅格/GeoTIFF",
    "ds_space_res": "1 km",
    "ds_time_res": "16天",
    "ds_coordinate": "WGS84",
    "ds_projection": "Albers",
    "ds_thumbnail": "b163c4f2-a682-402e-8536-c355bb0214a4.jpg",
    "ds_thumb_from": 2,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "本数据由“中国科学院西北生态环境资源研究院甘肃省祁连山生态环境研究中心”制作，用户在使用数据时请在正文中明确声明数据的来源，并在参考文献部分引用本元数据提供的引用方式。",
    "ds_from_station": null,
    "organization_id": "8fa8eec3-a891-44cd-b60e-f6af19a16bba",
    "ds_serv_man": "张成琦",
    "ds_serv_phone": "0931-4967575",
    "ds_serv_mail": "chengqizhang@lzb.ac.cn",
    "doi_value": "",
    "subject_codes": [
        "170.4510"
    ],
    "quality_level": 3,
    "publish_time": "2020-11-30 15:47:58",
    "last_updated": "2025-06-30 16:26:11",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.ncdc.qlsst.2020.13",
    "i18n": {
        "en": {
            "title": "MODIS MOD13A2 Enhanced Vegetation Index (EVI) Dataset in Qilian Mountains Region (2000-2014)",
            "ds_format": "Raster/GeoTIFF",
            "ds_source": "<p>The data source of this dataset is MOD13A2-v005 version data, involving segmented image grids of h25v04, h25v04, and h26v05, with a spatial resolution of 1 km, synthesized every 16 days. </p>",
            "ds_quality": "<p>This dataset has the same quality as the source dataset MODIS MOD13A2.005. The effective range of data is -2000 to 10000, the scaling factor is 0.0001, and the fill value is -3000. </p>",
            "ds_ref_way": "",
            "ds_abstract": "<p>Based on the MODIS MOD13A2.005 Enhanced Vegetation Index (EVI) dataset, the segmented images covering the Qilian Mountains region were processed using MRT tools and Python language code for batch stitching, projection conversion, cropping, etc., to generate MODIS MOD13A2 EVI data for the Qilian Mountains region from 2000 to 2014. The spatial resolution of this dataset is 1 km, and the temporal resolution is 16 days. </p>",
            "ds_time_res": "16天",
            "ds_acq_place": "Qilian Mountains region",
            "ds_space_res": "1 km",
            "ds_projection": "Albers",
            "ds_process_way": "<p>(1) Trial run the MRT tool to generate prm files for MOD13A2 EVI data concatenation and projection conversion, and output the projection as albers projection (25, 47, 105, WGS1984, False'Esting: 4000000) with a spatial resolution of 1000 m.\n(2) Generate a batch file using MATLAB language program to call the MRT tool and run it;\n(3) Utilize the vector boundary of Qilian Mountains, use Python batch cropping and other steps, and finally output and save in GeoTIFF format. </p>",
            "ds_ref_instruction": "\r\nThis data is produced by \"Gansu Qilian Mountain Ecological Environment Research Center of Northwest Institute of Ecological Environment and Resources, Chinese Academy of Sciences\". When using the data, users should clearly state the source of the data in the text, and quote the reference method provided by this metadata in the reference section."
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 0,
    "license_type": "CC BY 4.0",
    "ds_topic_tags": [
        "祁连山",
        "EVI",
        "MOD13A2",
        "MODIS",
        "生态遥感"
    ],
    "ds_subject_tags": [
        "自然地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "祁连山地区"
    ],
    "ds_time_tags": [
        2000,
        2001,
        2002,
        2003,
        2004,
        2005,
        2006,
        2007,
        2008,
        2009,
        2010,
        2011,
        2012,
        2013,
        2014
    ],
    "ds_contributors": [
        {
            "true_name": "张举涛",
            "email": "jutzhang@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": "张成琦",
            "email": "chengqizhang@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": "冯起",
            "email": "qifeng@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": "张举涛",
            "email": "jutzhang@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": "张成琦",
            "email": "chengqizhang@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"
}