{
    "created": "2025-02-17 17:14:12",
    "updated": "2026-05-06 06:27:51",
    "id": "ddbe321b-a008-4990-b927-59a77657c30d",
    "version": 4,
    "ds_topic": null,
    "title_cn": "杭州湾及其周边区域30m分辨率滨海养殖用地分布数据集（2015年）",
    "title_en": "30m resolution coastal aquaculture land distribution data set in Hangzhou Bay and its surrounding areas (2015)",
    "ds_abstract": "<p>&emsp;&emsp;杭州湾湿地是中国重要的河口型滨海湿地。已经在杭州湾岸线变迁、杭州湾湿地生态系统服务价值和杭州湾滨海土地利用格局等方面开展了研究，评估了人类活动对杭州湾滨海湿地的影响。研究表明，随着经济的快速发展，杭州湾滨海用地空间变化剧烈，尤其是以围垦养殖为主的用地方式，对杭州湾滨海湿地环境产生了显著的负面影响。因此，客观、准确地揭示杭州湾滨海养殖用地的时空分布及其变化规律，对保护该区域滨海湿地具有重要意义。</p>",
    "ds_source": "<p>&emsp;&emsp;本研究利用了Landsat TM/ETM +/OLI 影像数据。</p>",
    "ds_process_way": "<p>&emsp;&emsp;以Landsat遥感影像作为主要数据源，结合多源遥感信息，采用面向对象的多尺度图像分割方法对光谱相似的像元进行聚类，利用归一化水体指数构建规则集，进行杭州湾及其周边区域滨海养殖池信息提取。主要流程包括：多尺度影像分割、影像对象信息提取、分类精度评价等，确保一级类精度在90%以上。通过以上流程提取2015年杭州湾及其周边区域滨海养殖池分布情况数据，对其进行最终的编辑、转换、分析处理、制图输出，存储为栅格格式。</p>",
    "ds_quality": "<p>&emsp;&emsp;数据质量良好。</p>",
    "ds_acq_start_time": "2015-01-01 00:00:00",
    "ds_acq_end_time": "2015-12-31 00:00:00",
    "ds_acq_place": "杭州湾及其周边区域",
    "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": "open-access",
    "ds_total_size": 5929212,
    "ds_files_count": 4,
    "ds_format": "",
    "ds_space_res": "30",
    "ds_time_res": "",
    "ds_coordinate": "krasovsky1940",
    "ds_projection": "",
    "ds_thumbnail": "ddbe321b-a008-4990-b927-59a77657c30d.png",
    "ds_thumb_from": 0,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "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": "d2c052ce-d283-4a48-8962-6a3dbcb03b8e",
    "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": "2025-02-27 15:43:58",
    "last_updated": "2025-05-29 11:06:25",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.NCDC.SCIDB.DB6764.2025",
    "i18n": {
        "en": {
            "title": "30m resolution coastal aquaculture land distribution data set in Hangzhou Bay and its surrounding areas (2015)",
            "ds_format": "",
            "ds_source": "<p>&emsp;&emsp;This study utilized Landsat TM/ETM+/OLI image data.</p>",
            "ds_quality": "<p>&emsp;&emsp;The data quality is good.</p>",
            "ds_ref_way": "",
            "ds_abstract": "<p>  Hangzhou Bay Wetland is an important estuarine coastal wetland in China. Studies have been carried out on the shoreline change of Hangzhou Bay, the ecosystem service value of Hangzhou Bay Wetland and the coastal land use pattern of Hangzhou Bay, and the impact of human activities on the coastal wetland of Hangzhou Bay has been evaluated. The research shows that with the rapid development of economy, the coastal land space of Hangzhou Bay has changed dramatically, especially the land use mode of reclamation and aquaculture, which has a significant negative impact on the coastal wetland environment of Hangzhou Bay. Therefore, it is of great significance to objectively and accurately reveal the temporal and spatial distribution and change law of coastal aquaculture land in Hangzhou Bay for the protection of coastal wetlands in this area.</p>",
            "ds_time_res": "",
            "ds_acq_place": "Hangzhou Bay and its surrounding areas",
            "ds_space_res": "30",
            "ds_projection": "",
            "ds_process_way": "<p>&emsp;&emsp;Taking Landsat remote sensing images as the main data source and combining multi-source remote sensing information, the object-oriented multi-scale image segmentation method is used to cluster spectrally similar image elements, and the rule set is constructed by using the normalised water body index to extract information about the coastal aquaculture pools in Hangzhou Bay and its surrounding areas. The main processes include: multi-scale image segmentation, image object information extraction, classification accuracy evaluation, etc., to ensure that the accuracy of the first-level class is above 90%. Through the above process, the distribution data of coastal aquaculture ponds in Hangzhou Bay and its surrounding areas in 2015 were extracted, finally edited, converted, analysed, mapped, and stored in raster format.</p>",
            "ds_ref_instruction": "When using data, users should clearly declare the source of the data in the main text and cite the citation method provided by this metadata in the reference section."
        }
    },
    "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": [
        "杭州湾湿地",
        "滨海养殖池",
        "滨海用地规划",
        "滨海湿地保护"
    ],
    "ds_subject_tags": [
        "地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "杭州湾及其周边区域"
    ],
    "ds_time_tags": [],
    "ds_contributors": [
        {
            "true_name": "任春颖",
            "email": "renchy@iga.ac.cn",
            "work_for": "中国科学院东北地理与农业生态研究所",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "任春颖",
            "email": "renchy@iga.ac.cn",
            "work_for": "中国科学院东北地理与农业生态研究所",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "任春颖",
            "email": "renchy@iga.ac.cn",
            "work_for": "中国科学院东北地理与农业生态研究所",
            "country": "中国"
        }
    ],
    "category": "生态"
}