{
    "created": "2025-11-05 18:41:36",
    "updated": "2026-08-08 06:24:29",
    "id": "636d546d-ebd2-4d06-9ad6-040afe67bd5d",
    "version": 3,
    "ds_topic": null,
    "title_cn": "新疆10m土壤盐度数据集（2024年4-10月）",
    "title_en": "",
    "ds_abstract": "<p>本数据为利用sentinel-2号反射率产品数据进行进一步加工，其中原始数据为全疆10米月度哨兵二号反射率镶嵌数据集，土壤盐分通过机器学习进行提取，质量控制主要采用全疆2021-2022年土壤盐分实测数据进行训练样本和验证样本选择，部分利用自然资源部门土壤质量调查数据进行精度检验与评估。</p>",
    "ds_source": "<p>哨兵二号反射率数据主要来源为欧空局下载。其余辅助数据来源为实地测量数据，自主产生。</p>",
    "ds_process_way": "<p>本数据集是通过对随机森林，梯度回归，支持向量机等多种机器学习进行验证数据对比后，选择随机森林算法进行土壤盐分反演的反演的计算。数据分辨率为10m。其中随进森林算法的训练样本包括由吐鲁番哈密地区，艾比湖流域，阿克苏新和县，喀什疏附县等实测土壤地表30cm表层土壤电导率数据进行。</p>",
    "ds_quality": "<p>质量控制主要采用全疆2021-2022年土壤盐分实测数据进行训练样本和验证样本选择，部分利用自然资源部门土壤质量调查数据进行精度检验与评估。土壤电导率的测定方法为电极法，满足（HJ 802-2016）测定要求。</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": "login-access",
    "ds_total_size": 1299069327812,
    "ds_files_count": 27,
    "ds_format": "TIF格式",
    "ds_space_res": "10米",
    "ds_time_res": "月",
    "ds_coordinate": "WGS84",
    "ds_projection": "CGCS2000",
    "ds_thumbnail": "636d546d-ebd2-4d06-9ad6-040afe67bd5d.jpg",
    "ds_thumb_from": 0,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "数据来源引用：新疆10m土壤盐度数据集（2024年4-10月）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": [
        "170.45"
    ],
    "quality_level": 1,
    "publish_time": "2025-12-04 18:45:44",
    "first_publish_time": null,
    "last_updated": "2026-01-21 10:22:21",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "33110.11.ariddc.01339",
    "license": null,
    "extra": null,
    "files_shape": [
        {
            "name": "2021xjkk1400-126-2024120501",
            "size": null,
            "is_dir": true
        }
    ],
    "features": null,
    "data_level": 0,
    "i18n": {
        "en": {
            "title": "Xinjiang 10m soil salinity dataset (April to October 2024)",
            "ds_abstract": "<p>This data is for further processing using sentinel-2 reflectance product data. The original data is the 10-meter monthly Sentinel-2 reflectance mosaic data set in Xinjiang. Soil salt is extracted through machine learning. The quality control mainly uses the 2021-2022 soil salt measurement data in Xinjiang. Training samples and verification samples are selected, and some soil quality survey data from the natural resources department are used for accuracy inspection and evaluation. </p>",
            "ds_source": "<p>The main source of Sentinel-2 reflectivity data is downloaded from ESA. The rest of the auxiliary data sources are on-site measurement data and are generated independently. </p>",
            "ds_process_way": "<p>This dataset is based on comparing verification data from various machine learning such as random forest, gradient regression, and support vector machines, and selecting random forest algorithm to carry out soil salt inversion calculation. The data resolution is 10m. Among them, the training samples of the continuous forest algorithm include 30-cm surface soil conductivity data measured from the soil surface in Turpan Hami City, Aibi Lake Basin, Aksu Xinhe County, Kashgar Shufu County, etc. </p>",
            "ds_quality": "<p>Quality control mainly uses the measured soil salt data from 2021 to 2022 in Xinjiang for training samples and verification samples, and partially uses the soil quality survey data from the natural resources department for accuracy inspection and evaluation. The measurement method for soil electrical conductivity is the electrode method, which meets the measurement requirements of (HJ 802-2016). </p>",
            "ds_ref_instruction": "Data source citation: Xinjiang's 10m soil salinity dataset (April to October 2024) 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": "TIF format",
            "ds_projection": "CGCS2000",
            "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": [
        "土壤盐度"
    ],
    "ds_subject_tags": [
        "地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "新疆"
    ],
    "ds_time_tags": [
        2024
    ],
    "ds_contributors": [
        "刘铁",
        "马勇刚"
    ],
    "ds_meta_authors": [
        "马勇刚"
    ],
    "ds_managers": [
        "李锦"
    ],
    "category": "哨兵"
}