{
    "created": "2019-10-10 16:24:33",
    "updated": "2026-05-08 20:26:39",
    "id": "0b5d8c6e-74b7-46a0-936c-7bdad9493e77",
    "version": 2,
    "ds_topic": "c6f9fed5-f7bf-4502-a904-d99914875270",
    "title_cn": "中亚MODIS_250米增强植被指数（EVI）数据集（2000年，2010年）",
    "title_en": "Central Asia MODIS_ 250 meter Enhanced Vegetation Index (EVI) dataset (2000, 2010)",
    "ds_abstract": "<p>本数据集包含2个IMG格式栅格数据： ① EVI_annual_2000.img; ② EVI_annual_2010.img; 此数据表示2000年和2010年度中亚地区4月至9月的平均植被指数，反映了地表植被覆盖状况，相对于NDVI（归一化植被指数），EVI减少了背景和大气噪音的影响。该数据利用MOD13A2数据，经过拼接、剪裁、投影变换等流程，分别获得中亚地区2000年和2010年4月1日至9月31日每16天的植被指数，再计算得到平均植被指数。</p>",
    "ds_source": "<ol>\n<li>2000年度 MOD13A2数据；</li>\n<li>2010年度 MOD13A2数据；</li>\n</ol>",
    "ds_process_way": "<p>利用相对应的MODIS数据，经过拼接、剪裁等流程，分别获得指定日期的植被指数，进而计算求得对应年度的平均植被指数。</p>",
    "ds_quality": "<p>获取的数据需要整理和计算处理才能使用，对研究区范围土要的气象观测数据、MODIS数据进行整理和计算处理,包括空白数据、缺测数据、质量缺陷等,对有问题的数据进行分析,根据情况进行处理，得到精确度高的数据。</p>",
    "ds_acq_start_time": "2000-01-01 00:00:00",
    "ds_acq_end_time": "2010-01-01 00:00:00",
    "ds_acq_place": "中亚五国",
    "ds_acq_lon_east": 90.0,
    "ds_acq_lat_south": 35.516666666666666,
    "ds_acq_lon_west": 45.0,
    "ds_acq_lat_north": 55.416666666666664,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "login-access",
    "ds_total_size": 17235895,
    "ds_files_count": 4,
    "ds_format": "栅格",
    "ds_space_res": "250.0m",
    "ds_time_res": "年",
    "ds_coordinate": "WGS84",
    "ds_projection": "GCS-WGS_1984",
    "ds_thumbnail": "0b5d8c6e-74b7-46a0-936c-7bdad9493e77.jpg",
    "ds_thumb_from": 0,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "None",
    "ds_from_station": null,
    "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a",
    "ds_serv_man": "李锦",
    "ds_serv_phone": "09917827369",
    "ds_serv_mail": "lijin@ms.xjb.ac.cn",
    "doi_value": "",
    "subject_codes": [
        "170.4510"
    ],
    "quality_level": 3,
    "publish_time": "2021-07-05 15:09:05",
    "last_updated": "2023-08-23 17:03:00",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.ncdc.nieer.2020.1468",
    "i18n": {
        "en": {
            "title": "Central Asia MODIS_ 250 meter Enhanced Vegetation Index (EVI) dataset (2000, 2010)",
            "ds_format": "Raster",
            "ds_source": "<ol>\n<li>2000 MOD13A2 data</li>\n<li>2010 MOD13A2 data</li>\n</ol>",
            "ds_quality": "<p>The obtained data needs to be organized and calculated before it can be used. The meteorological observation data and MODIS data within the research area should be organized and calculated, including blank data, missing measurement data, quality defects, etc. The problematic data should be analyzed and processed according to the situation to obtain high-precision data</ p>",
            "ds_ref_way": "",
            "ds_abstract": "<p>This dataset contains two raster data in IMG format:① EVI_annual_2000.img; ② EVI_annual_2010.img; This data represents the average vegetation index for Central Asia from April to September in 2000 and 2010, reflecting the state of vegetation cover on the surface, and EVI reducing the impact of background and atmospheric noise relative to the NDVI (Normalized Vegetation Index). The data were obtained by using MOD13A2 data, through stitching, clipping, projection transformation and other processes, and obtained the vegetation index of Central Asia every 16 days from April 1 to September 31, 2010, respectively, and then calculated the average vegetation index.</p>",
            "ds_time_res": "年",
            "ds_acq_place": "Five Central Asian countries",
            "ds_space_res": "250.0m",
            "ds_projection": "GCS-WGS_1984",
            "ds_process_way": "<p>Using the corresponding MODIS data, through processes such as concatenation and clipping, the vegetation index for the specified date is obtained, and then the average vegetation index for the corresponding year is calculated</ 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": "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": [
        "EVI",
        "遥感反演产品",
        "MODIS",
        "增强植被指数",
        "生态环境"
    ],
    "ds_subject_tags": [
        "自然地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "吉尔吉斯斯坦",
        "土库曼斯坦",
        "乌兹别克斯坦",
        "哈萨克斯坦",
        "塔吉克斯坦",
        "中亚五国"
    ],
    "ds_time_tags": [
        2000,
        2010
    ],
    "ds_contributors": [
        {
            "true_name": "陈秋晓",
            "email": "",
            "work_for": "浙江大学",
            "country": ""
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "李锦",
            "email": "lijin@ms.xjb.ac.cn",
            "work_for": "新疆生态与地理研究所",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "李锦",
            "email": "lijin@ms.xjb.ac.cn",
            "work_for": "新疆生态与地理研究所",
            "country": "中国"
        },
        {
            "true_name": "陈秋晓",
            "email": "",
            "work_for": "浙江大学",
            "country": ""
        }
    ],
    "category": "生态"
}