{
    "created": "2021-10-19 14:45:05",
    "updated": "2026-05-01 21:12:36",
    "id": "ca6350e9-2afd-40db-9f64-ebea1762aafa",
    "version": 2,
    "ds_topic": null,
    "title_cn": "中国荒漠-绿洲过渡带边界范围与对应TCI、NDVI数据（2015年8月、2017-2018年）",
    "title_en": "Boundary range of desert oasis transition zone in China and corresponding TCI and NDVI data (August 2015, 2017-2018)",
    "ds_abstract": "<p>&emsp;&emsp;该数据集包括：①张掖绿洲-荒漠过度带MODIS_NDVI格局分析源数据：数据时间为2017年至2018年，每年的5至9月的栅格数据；②TCI与NDVI_栅格源数据：3种不同分辨率的栅格数据，数据空间分辨率为30m、100m、250m；③边界宽度_源数据：荒漠、沙漠、石质裸山和梭梭的边界数据以及3月、5月、7月、9月、11月的平均值和标准差栅格数据；④研究范围_矢量源数据。\n</p>\n<p>&emsp;&emsp;MODIS数据采用的源数据为MOD09GQ数据，选择条件为5-9月有效降水后逐日云量为0的数据。\n</p>\n<p>&emsp;&emsp;Landsat 8 OLI数据选择条件为云量0，植被生长旺盛期，先大气辐射校正后进行波段计算分析。",
    "ds_source": "<p>&emsp;&emsp;MODIS数据采用的源数据为MOD09GQ数据，选择条件为5-9月有效降水后逐日云量为0的数据。\n</p>\n<p>&emsp;&emsp;Landsat 8 OLI数据选择条件为云量0，植被生长旺盛期，先大气辐射校正后进行波段计算分析。",
    "ds_process_way": "<p>&emsp;先大气辐射校正后进行波段计算分析。",
    "ds_quality": "<p>&emsp;&emsp;MODIS数据质量完全可以满足空间生产力格局分析需要；Landsat 8 OLI数据可以满足空间尺度效应分析需要。",
    "ds_acq_start_time": "2015-08-28 00:00:00",
    "ds_acq_end_time": "2018-09-30 00:00:00",
    "ds_acq_place": "张掖市临泽县",
    "ds_acq_lon_east": null,
    "ds_acq_lat_south": null,
    "ds_acq_lon_west": null,
    "ds_acq_lat_north": null,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "apply-access",
    "ds_total_size": 23119001,
    "ds_files_count": 2,
    "ds_format": "tiff;shp",
    "ds_space_res": "30m,100m,250m",
    "ds_time_res": "",
    "ds_coordinate": "无",
    "ds_projection": "",
    "ds_thumbnail": "ca6350e9-2afd-40db-9f64-ebea1762aafa.png",
    "ds_thumb_from": 0,
    "ds_ref_way": "何志斌，中国荒漠-绿洲过渡带边界范围与对应TCI、NDVI数据（2015年8月、2017-2018年），国家冰川冻土沙漠科学数据中心(www.ncdc.ac.cn)，2021，doi：10.12072/ncdc.STXF.db0001.2021",
    "paper_ref_way": "",
    "ds_ref_instruction": "",
    "ds_from_station": null,
    "organization_id": "fbb3064a-7571-4312-8d84-f04332fed16b",
    "ds_serv_man": "敏玉芳",
    "ds_serv_phone": "0931-4967596",
    "ds_serv_mail": "ncdc@lzb.ac.cn",
    "doi_value": "",
    "subject_codes": [
        "170.45"
    ],
    "quality_level": 3,
    "publish_time": "2021-10-22 09:01:16",
    "last_updated": "2022-01-14 17:10:25",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.ncdc.STXF.2021.1",
    "i18n": {
        "en": {
            "title": "Boundary range of desert oasis transition zone in China and corresponding TCI and NDVI data (August 2015, 2017-2018)",
            "ds_format": "",
            "ds_source": "<pre><code>\n</code></pre>\n<p>&emsp; The source data used for MODIS data is mod09gq data, and the selection condition is the data with daily cloud amount of 0 after effective precipitation from May to September.\n</p>\n<p>&emsp; Landsat 8 oli data selection conditions are cloud amount 0, vegetation growth period, atmospheric radiation correction first, and then band calculation and analysis.",
            "ds_quality": "<pre><code>\n</code></pre>\n<p>&emsp; MODIS data quality can fully meet the needs of spatial productivity pattern analysis; Landsat 8 oli data can meet the needs of spatial scale effect analysis.",
            "ds_ref_way": "                                                                        ",
            "ds_abstract": "<pre><code>\n</code></pre>\n<p>  The data set includes: ① MODIS of Zhangye oasis desert transition zone_ NDVI pattern analysis source data: grid data from May to September of each year from 2017 to 2018; ② TCI and NDVI_ Grid source data: three kinds of grid data with different resolutions, with spatial resolutions of 30m, 100m and 250m; ③ Boundary width_ Source data: boundary data of desert, desert, rocky bare mountain and Haloxylon ammodendron, as well as average and standard deviation grid data in March, may, July, September and November; ④ Research scope_ Vector source data.\n</p>\n<p>  The source data used for MODIS data is mod09gq data, and the selection condition is the data with daily cloud amount of 0 after effective precipitation from May to September.\n</p>\n<p>  Landsat 8 oli data selection conditions are cloud amount 0, vegetation growth period, atmospheric radiation correction first, and then band calculation and analysis.</p>",
            "ds_time_res": "",
            "ds_acq_place": "Linze County, Zhangye City",
            "ds_space_res": "30m,100m,250m",
            "ds_projection": "",
            "ds_process_way": "<pre><code>\n</code></pre>\n<p>&emsp; After atmospheric radiation correction, band calculation and analysis are carried out.",
            "ds_ref_instruction": "                                                            "
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 0,
    "license_type": "CC 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": [
        "张掖",
        "绿洲-荒漠带",
        "Landsat 8 OLI",
        "NDVI",
        "TCI",
        "MOD09GQ"
    ],
    "ds_subject_tags": [
        "地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "张掖市临泽县"
    ],
    "ds_time_tags": [
        2015,
        2017,
        2018
    ],
    "ds_contributors": [
        {
            "true_name": "何志斌",
            "email": "hzbmail@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": "常学礼",
            "email": "xlchang@126.com",
            "work_for": "鲁东大学",
            "country": "中国"
        },
        {
            "true_name": "苏永中",
            "email": "suyzh@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": "蔺鹏飞",
            "email": "linpengfei@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": "蔺鹏飞",
            "email": "linpengfei@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": "生态"
}