{
    "created": "2025-03-12 15:59:21",
    "updated": "2026-08-08 08:21:54",
    "id": "16a6a27b-fdfb-4eb0-bdc9-89d5f52186a0",
    "version": 3,
    "ds_topic": null,
    "title_cn": "2019年咸海流域种植结构矢量数据集",
    "title_en": "",
    "ds_abstract": "<p>本数据集包括2019年咸海流域的阿姆河和锡尔河子流域的Kashkadarya, Zarafshan, Suekhandarya,Bukhara, Naryn, Kazalinskiy, Qyzylorda, South Kazashstan, Zhanakorganskiy共9个灌区的种植结构矢量数据，空间分辨率为10m×10m，时间分辨率为年，Kappa系数0.8。</p>",
    "ds_source": "<p>2019年哨兵2号数据。</p>",
    "ds_process_way": "<p>将2019年分为三个时间段，将每个时间段内云量最少，质量最高的哨兵2号数据拼接为一张完整地图，得到咸海流域三期哨兵2号遥感影像，并求出三期影像的NDVI值，再结合得到的耕地数据和实地采样数据，用随机森林算法对其分类，最终得到每个地块上的种植结构类型。</p>",
    "ds_quality": "<p>空间分辨率为10m×10m，时间分辨率为年，Kappa系数0.8。</p>",
    "ds_acq_start_time": "2019-01-01 00:00:00",
    "ds_acq_end_time": "2019-12-31 00:00:00",
    "ds_acq_place": "咸海流域",
    "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": "apply-access",
    "ds_total_size": 471028086,
    "ds_files_count": 2,
    "ds_format": "shp",
    "ds_space_res": "无",
    "ds_time_res": "无",
    "ds_coordinate": "WGS84",
    "ds_projection": "UTM",
    "ds_thumbnail": "16a6a27b-fdfb-4eb0-bdc9-89d5f52186a0.png",
    "ds_thumb_from": 0,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "",
    "ds_from_station": null,
    "organization_id": "a5877b42-96ea-4f13-af7e-246f355413d6",
    "doi_value": "",
    "subject_codes": [
        "170.45"
    ],
    "quality_level": 1,
    "publish_time": "2025-03-24 14:29:05",
    "first_publish_time": null,
    "last_updated": "2025-04-25 09:59:53",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "33110.11.ariddc.00314",
    "license": null,
    "extra": null,
    "files_shape": [
        {
            "name": "Amu Darya.rar",
            "size": 442739060,
            "is_dir": false
        },
        {
            "name": "Syr Darya.rar",
            "size": 28289026,
            "is_dir": false
        }
    ],
    "features": null,
    "data_level": 0,
    "i18n": {
        "en": {
            "title": "Vector dataset of planting structure in the Aral Sea Basin in 2019",
            "ds_abstract": "<p>This dataset includes vector data of planting structure in 9 irrigation districts in 2019, including Kashkadarya, Zarafshan, Suekhandarya,Bukhara, Naryn, Kazalinskiy, Qyzylorda, South Kazashstan, and Zhanakorganskiy in the Amu Darya and Syr Darya sub-basins in the Aral Sea Basin. The spatial resolution is 10m×10m, the temporal resolution is years, and the Kappa coefficient is 0.8. </p>",
            "ds_source": "<p>2019 Sentinel 2 data. </p>",
            "ds_process_way": "<p>2019 is divided into three time periods, and the Sentinel 2 data with the least cloud cover and the highest quality in each time period are spliced into a complete map to obtain the Sentinel 2 remote sensing image of the third phase of the Aral Sea Basin, and calculate the NDVI value of the three phases of the image, combined with the obtained cultivated land data and field sampling data, classified it using random forest algorithm, and finally obtained the planting structure type on each plot. </p>",
            "ds_quality": "<p>The spatial resolution is 10m×10m, the temporal resolution is year, and the Kappa coefficient is 0.8. </p>",
            "ds_acq_place": "Aral Sea basin",
            "ds_format": "shp",
            "ds_projection": "UTM",
            "ds_space_res": "no",
            "ds_time_res": "no"
        }
    },
    "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": [
        "种植结构"
    ],
    "ds_subject_tags": [
        "地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "咸海"
    ],
    "ds_time_tags": [
        2019
    ],
    "ds_contributors": [
        "钱静",
        "刘铁"
    ],
    "ds_meta_authors": [
        "钱静"
    ],
    "ds_managers": [
        "刘铁"
    ],
    "category": "中分辨率成像光谱仪"
}