{
    "created": "2025-08-09 01:16:59",
    "updated": "2026-05-09 12:46:51",
    "id": "9b912b52-f65c-4e6d-9186-3f1269d73921",
    "version": 2,
    "ds_topic": null,
    "title_cn": "CropLayer-2020年中国新疆市、县级的2米农作物耕地数据",
    "title_en": "",
    "ds_abstract": "<p>本数据是从广东省科学院广州地理研究所姜浩团队发表在ZENODO平台上的名为\"CropLayer: 2-meter resolution cropland mapping dataset for China in 2020\"的数据中下载的新疆的数据。原始数据是按照中国31个省分别压缩发布的，我们下载了新疆的数据，没有对下载的数据进行任何处理。</p>\n<p>关于矢量数据属性表字段“cls”下记录的数字“1”的含义，通过邮件与数据通讯作者的沟通，了解到“1”仅表示农田，没有其他意义。</p>\n</p>",
    "ds_source": "<p>Croplayer是一款2020年中国全域高精度（2米分辨率）农作物分布数据集，旨在解决现有主流数据（如CLCD、WorldCover、SinoLC等）在省级面积统计偏差大、复杂地形农田（如南方梯田、坝田）细节缺失及破碎化农田（如北方非农干扰区）识别不足等问题。</p>\n<p>数据论文以预印本的形式现发布在Earth System Science Data(ESSD)的讨论版块，且采用CC BY 4.0许可协议。</p>\n</p>",
    "ds_process_way": "<p>该数据集通过融合Mapbox与Google的高分辨率影像，首先利用ResNet模型进行区块级图像质量评估（IQA）筛选高质量数据并修复元数据缺失；进而构建基于Mask2Former语义分割与XGBoost误差评估的主动学习框架，通过迭代优化样本提升农田边界分割精度；最终创新性地整合地理特征、影像质量、区域属性及一致性四类特征，采用加权融合策略生成统一农田图层。</p>",
    "ds_quality": "<p>Croplayer实现了88.73%的制图精度，并在全国30个省级行政区的农田面积统计中达成与官方数据误差≤±10%的严格标准（显著优于现有数据集仅1-9省的达标表现），为作物估产、农业结构优化及粮食安全预警提供了高精度、高统计一致性的空间数据支撑。</p>",
    "ds_acq_start_time": null,
    "ds_acq_end_time": null,
    "ds_acq_place": "",
    "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": "在线下载",
    "ds_total_size": 7098170250,
    "ds_files_count": 424,
    "ds_format": "",
    "ds_space_res": "2米",
    "ds_time_res": "",
    "ds_coordinate": "WGS84",
    "ds_projection": "GCS_WGS84",
    "ds_thumbnail": "9b912b52-f65c-4e6d-9186-3f1269d73921.png",
    "ds_thumb_from": 2,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "Jiang, H., Zhou, X., & Ku, M. (2025). CropLayer: 2-meter resolution cropland mapping dataset for China in 2020 (v1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.14726428",
    "ds_from_station": null,
    "organization_id": "a5877b42-96ea-4f13-af7e-246f355413d6",
    "doi_value": "",
    "subject_codes": [
        "170.45"
    ],
    "quality_level": 1,
    "publish_time": "2025-08-10 00:30:53",
    "first_publish_time": null,
    "last_updated": "2025-08-10 00:30:53",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": null,
    "license": null,
    "extra": null,
    "files_shape": [
        {
            "name": "cf_county_xinjiang",
            "size": null,
            "is_dir": true
        }
    ],
    "features": null,
    "data_level": 0,
    "ds_topic_tags": [
        "农业",
        "耕地",
        "农作物"
    ],
    "ds_subject_tags": [
        "地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "新疆"
    ],
    "ds_time_tags": [
        2020
    ],
    "ds_contributors": [
        "李锦"
    ],
    "ds_meta_authors": [
        "李锦"
    ],
    "ds_managers": [
        "李锦"
    ],
    "category": "农业"
}