{
    "created": "2025-10-29 13:30:26",
    "updated": "2026-08-08 11:11:18",
    "id": "5da6e0c9-08e3-49e1-a1e3-2e1a395434c8",
    "version": 5,
    "ds_topic": null,
    "title_cn": "新疆10米哨兵卫星正射影像数据（2023年）",
    "title_en": "",
    "ds_abstract": "<p>数据源采用哨兵2号光学卫星L2级产品，波段数为4波段（红、绿、蓝、近红），分辨率为10米，数据来源于欧空局网站，共下载了28150景。首先制作覆盖全疆的工作网格，网格大小为5KM×5KM，用网格裁切下载好的全疆分景数据，得到超过1200万块网格裁切数据，使用深度学习模型挑选每个月质量最好、云量最少的网格裁切数据，拼接成为覆盖全疆的每月产品。数据坐标系统为WGS84，投影方式为墨卡托投影，以1：25万标准分幅裁切存储，共151幅，1-10月每月1期，共10期。</p>",
    "ds_source": "<p>数据源采用哨兵2号光学卫星L2级产品，波段数为4波段（红、绿、蓝、近红），分辨率为10米，数据来源于欧空局网站，共下载了28150景。</p>",
    "ds_process_way": "<p>首先制作覆盖全疆的工作网格，网格大小为5KM×5KM，用网格裁切下载好的全疆分景数据，得到超过1200万块网格裁切数据，使用深度学习模型挑选每个月质量最好、云量最少的网格裁切数据，拼接成为覆盖全疆的每月产品。</p>",
    "ds_quality": "<p>数据生产符合中国国家标准《CH/Z 1044-2018 光学卫星遥感影像质量检验技术规程》技术标准要求，影像整体色调均匀、纹理清晰，细节清楚，地貌轮廓清晰，地物地貌显示清楚；影像要求无缝镶嵌，接边处过渡自然，无色彩突变；融合后影像需保留原多光谱数据的光谱和色彩信息。数据符合技术要求。</p>",
    "ds_acq_start_time": null,
    "ds_acq_end_time": null,
    "ds_acq_place": "新疆全域",
    "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": "login-access",
    "ds_total_size": 5608458939146,
    "ds_files_count": 18,
    "ds_format": ".pix格式",
    "ds_space_res": "10米",
    "ds_time_res": "月",
    "ds_coordinate": "WGS84",
    "ds_projection": "墨卡托投影",
    "ds_thumbnail": "5da6e0c9-08e3-49e1-a1e3-2e1a395434c8.jpg",
    "ds_thumb_from": 0,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "数据来源引用：新疆10米哨兵卫星正射影像数据（2023年）来源于第三次新疆综合科学考察专项 \"空天地网一体化综合科考监测体系建设(2021xjkk1400)\"",
    "ds_from_station": null,
    "organization_id": "a5877b42-96ea-4f13-af7e-246f355413d6",
    "doi_value": "",
    "subject_codes": [
        "170.40"
    ],
    "quality_level": 1,
    "publish_time": "2025-12-04 16:35:39",
    "first_publish_time": null,
    "last_updated": "2026-01-20 18:59:52",
    "protected": false,
    "protected_to": "2025-10-31 00:00:00",
    "lang": "zh",
    "cstr": "33110.11.ariddc.01269",
    "license": null,
    "extra": null,
    "files_shape": [
        {
            "name": "新疆10米哨兵卫星正射影像数据-2023年",
            "size": null,
            "is_dir": true
        }
    ],
    "features": null,
    "data_level": 0,
    "i18n": {
        "en": {
            "title": "Xinjiang 10-meter Sentinel Satellite Ortho Image Data (2023)",
            "ds_abstract": "<p>The data source uses the Sentinel 2 optical satellite L2 product, with 4 bands (red, green, blue, and near-red) and a resolution of 10 meters. The data comes from the ESA website, and a total of 28150 scenes have been downloaded. First, a working grid covering the entire Xinjiang is made, with a grid size of 5KM × 5KM. The grid is used to cut the downloaded landscape data across Xinjiang, and more than 12 million pieces of grid cut data are obtained. A deep learning model is used to select each month. The grid cut data with the best quality and the least cloud amount is spliced into a monthly product covering the entire Xinjiang. The data coordinate system is WGS84, and the projection method is Mercator projection. It is cut and stored in 1: 250,000 standard frames, with a total of 151 frames, one issue per month from January to October, for a total of 10 issues. </p>",
            "ds_source": "<p>The data source uses the Sentinel 2 optical satellite L2 product, with 4 bands (red, green, blue, and near-red) and a resolution of 10 meters. The data comes from the ESA website, and a total of 28150 scenes have been downloaded. </p>",
            "ds_process_way": "<p>First, a working grid covering the entire Xinjiang is made, with a grid size of 5KM × 5KM. The grid is used to cut the downloaded landscape data across Xinjiang, and more than 12 million pieces of grid cut data are obtained. A deep learning model is used to select each month. The grid cut data with the best quality and the least cloud amount is spliced into a monthly product covering the entire Xinjiang. </p>",
            "ds_quality": "<p>The data production meets the technical standard requirements of China's national standard \"CH/Z1044 -2018 Technical Regulations for Quality Inspection of Optical Satellite Remote Sensing Images.\" The overall image has uniform color, clear texture, clear details, clear topography, and clear terrain; The image is required to be seamlessly inlaid, with natural transition at the junction, and no color mutations; the merged image must retain the spectral and color information of the original multispectral data. The data meets technical requirements. </p>",
            "ds_acq_place": "Xinjiang whole region",
            "ds_ref_instruction": "Data source citation: Xinjiang's 10-meter Sentinel satellite ortho-image data (2023) comes from the third Xinjiang comprehensive scientific expedition special project \"Construction of an Integrated Comprehensive Scientific Research Monitoring System of Space, Space and Space Network (2021 xjkk1400)\"",
            "ds_format": ".pix format",
            "ds_projection": "Mercator projection",
            "ds_space_res": "10 meters",
            "ds_time_res": "months"
        }
    },
    "license_type": null,
    "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": [
        "哨兵卫星"
    ],
    "ds_subject_tags": [
        "地图学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "新疆"
    ],
    "ds_time_tags": [
        2023
    ],
    "ds_contributors": [
        "王伟胜",
        "杨辽",
        "方晖"
    ],
    "ds_meta_authors": [
        "李锦"
    ],
    "ds_managers": [
        "李锦"
    ],
    "category": "哨兵"
}