{
    "created": "2024-01-23 17:19:21",
    "updated": "2026-05-03 03:44:39",
    "id": "3f8c7953-2fef-4fab-aec8-dc4fb0670fd6",
    "version": 10,
    "ds_topic": null,
    "title_cn": "中国地表水体、大型水坝、水库和湖泊数据集（2019年）",
    "title_en": "Datasets of surface water bodies, large dams, reservoirs, and lakes in China（2019）",
    "ds_abstract": "<p>&emsp;&emsp;通过分析2019年谷歌地球引擎中所有可用的陆地卫星图像(19,338张图像)和谷歌地球中的超高空间分辨率图像，构建了中国地表水体、大型水坝、水库和湖泊(China- ldrl)数据集。",
    "ds_source": "<p>&emsp;&emsp;谷歌地球引擎中陆地卫星图像和超高空间分辨率图像。",
    "ds_process_way": "<p>&emsp;&emsp;分析构建。",
    "ds_quality": "<p>&emsp;&emsp;数据质量较好。",
    "ds_acq_start_time": "2019-01-01 00:00:00",
    "ds_acq_end_time": "2019-12-31 00:00:00",
    "ds_acq_place": "中国",
    "ds_acq_lon_east": 135.09722222222223,
    "ds_acq_lat_south": 18.169722222222223,
    "ds_acq_lon_west": 73.55916666666667,
    "ds_acq_lat_north": 53.55694444444444,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "login-access",
    "ds_total_size": 23221759,
    "ds_files_count": 2,
    "ds_format": "shp",
    "ds_space_res": "",
    "ds_time_res": "",
    "ds_coordinate": "无",
    "ds_projection": "",
    "ds_thumbnail": "3f8c7953-2fef-4fab-aec8-dc4fb0670fd6.png",
    "ds_thumb_from": 2,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "",
    "ds_from_station": null,
    "organization_id": "a4dd5849-78f2-44c5-b0f1-3450e952b2a2",
    "ds_serv_man": "敏玉芳",
    "ds_serv_phone": "0931-4967596",
    "ds_serv_mail": "ncdc@lzb.ac.cn",
    "doi_value": "",
    "subject_codes": [
        "170.55"
    ],
    "quality_level": 3,
    "publish_time": "2024-01-26 10:06:38",
    "last_updated": "2026-01-14 10:59:41",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.NCDC.FIGSHARE.DB4163.2024",
    "i18n": {
        "en": {
            "title": "Datasets of surface water bodies, large dams, reservoirs, and lakes in China（2019）",
            "ds_format": "shp",
            "ds_source": "<p>&emsp;Google Earth and Land Satellites.",
            "ds_quality": "<p>&emsp;The data quality is good.",
            "ds_ref_way": "",
            "ds_abstract": "<p> A dataset of China’s surface water bodies, Large Dams, Reservoirs, and Lakes (China-LDRL) by analyzing all available Landsat imagery in 2019 (19,338 images) in Google Earth Engine and very-high spatial resolution imagery in Google Earth.</p>",
            "ds_time_res": "",
            "ds_acq_place": "China",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<p>&emsp;Analyze and build.",
            "ds_ref_instruction": ""
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 0,
    "license_type": "CC BY 4.0",
    "doi_reg_from": "reg_outside",
    "cstr_reg_from": "reg_outside",
    "doi_not_reg_reason": null,
    "cstr_not_reg_reason": null,
    "is_paper_in_submitting": false,
    "ds_topic_tags": [
        "大型水坝",
        "大型水库",
        "环境科学"
    ],
    "ds_subject_tags": [
        "水文学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "中国"
    ],
    "ds_time_tags": [
        2019
    ],
    "ds_contributors": [
        {
            "true_name": "肖向明",
            "email": "xiangming.xiao@ou.edu.cn",
            "work_for": "复旦大学",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "肖向明",
            "email": "xiangming.xiao@ou.edu.cn",
            "work_for": "复旦大学",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "肖向明",
            "email": "xiangming.xiao@ou.edu.cn",
            "work_for": "复旦大学",
            "country": "中国"
        }
    ],
    "category": "水文"
}