{
    "created": "2025-04-22 17:44:58",
    "updated": "2026-06-23 11:00:11",
    "id": "5269fdb9-6519-48fa-b133-38647ad3e8b4",
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    "title_cn": "洪涝灾害多元信息立体监测与辨识技术方案",
    "title_en": "Multi dimensional information monitoring and identification technology scheme for flood disasters",
    "ds_abstract": "<p>&emsp;&emsp;本研究针对洪涝灾害监测与辨识需求，构建了多元信息立体监测与辨识技术体系。结合近实时卫星反演降水数据，开发了考虑降水滞时的星地融合模型，显著提升了降水分类与定量精度。基于U-Net深度学习模型填补了卫星降水空白，并通过Borderline-SMOTE和AdaBoost方法优化了降水融合精度。进一步，采用图像超分辨率技术改进数值模式预报降水后处理模型，有效延长了降水预报的有效期。此外，针对复杂天气条件下的流域洪水淹没范围提取问题，提出了基于分类三元搭配策略的集成识别方法，显著提高了水体识别稳定性与监测精度。研究成果为流域洪涝灾害监测与预警提供了技术支撑。",
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    "organization_id": "37eb642a-c117-47e4-a677-07ecffb4b8b7",
    "ds_serv_man": "李红星",
    "ds_serv_phone": "0931-4967592",
    "ds_serv_mail": "ncdc@lzb.ac.cn",
    "doi_value": "",
    "subject_codes": [
        "170.55"
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    "quality_level": 3,
    "publish_time": "2025-04-29 10:53:06",
    "last_updated": "2025-04-29 10:53:06",
    "protected": false,
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    "lang": "zh",
    "cstr": "11738.11.NCDC.NHRI.DB6821.2025",
    "i18n": {
        "en": {
            "title": "Multi dimensional information monitoring and identification technology scheme for flood disasters",
            "ds_format": "",
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    "submit_center_id": "ncdc",
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    "license_type": "https://creativecommons.org/licenses/by/4.0/",
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    "ds_topic_tags": [
        "洪涝灾害监测",
        "星地降水融合"
    ],
    "ds_subject_tags": [
        "水文学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [],
    "ds_time_tags": [
        2024
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    "ds_contributors": [
        {
            "true_name": "李伶杰",
            "email": "ljli@nhri.cn",
            "work_for": "南京水利科学研究院",
            "country": "中国"
        }
    ],
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            "true_name": "李伶杰",
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            "country": "中国"
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    "ds_managers": [
        {
            "true_name": "李伶杰",
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            "work_for": "南京水利科学研究院",
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    "category": "其他"
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