{
    "created": "2020-01-16 08:50:50",
    "updated": "2026-04-29 12:16:20",
    "id": "fea2277e-4ddb-4672-9934-a64e86dc8908",
    "version": null,
    "ds_topic": null,
    "title_cn": "黑河生态水文遥感试验：黑河流域中游通量观测矩阵核心试验区土地利用覆被数据集（2012年）",
    "title_en": "Heihe River eco hydrological remote sensing experiment: land use and cover data set of the core experimental area of flux observation matrix in the middle reaches of Heihe River Basin (2012)",
    "ds_abstract": "<p>&emsp;&emsp;在2012年中游航空遥感试验开展期间，对黑河中游核心观测区利用航飞CASI数据结合地面调查获得了高分辨率的土地覆盖数据。\n</p>\n<p>&emsp;&emsp;分类方法：\n</p>\n<p>&emsp;&emsp;基于CASI航空遥感数据，采用分层分类方法对该区域进行分类。树木、草地、裸地+建筑用地类别：综合运用基于像素与基于对象的分类方法。各种农作物类别：对于难以区分的类别，通过结合地面调查点，目视解译得到。</p>",
    "ds_source": "<p></p>\n<p>&emsp;&emsp;基于CASI航空遥感数据，采用分层分类方法对该区域进行分类。树木、草地、裸地+建筑用地类别：综合运用基于像素与基于对象的分类方法。</p>\n</p>",
    "ds_process_way": "<p></p>\n<p>&emsp;&emsp;基于CASI航空遥感数据，采用分层分类方法对该区域进行分类。树木、草地、裸地+建筑用地类别：综合运用基于像素与基于对象的分类方法。各种农作物类别：对于难以区分的类别，通过结合地面调查点，目视解译得到。</p>\n</p>",
    "ds_quality": "<p></p>\n<p>&emsp;&emsp;数据质量良好</p>\n</p>",
    "ds_acq_start_time": "2012-06-25 00:00:00",
    "ds_acq_end_time": "2012-08-06 00:00:00",
    "ds_acq_place": "黑河流域, 中游人工绿洲试验区，通量观测矩阵",
    "ds_acq_lon_east": 100.39833333333334,
    "ds_acq_lat_south": 38.82638888888889,
    "ds_acq_lon_west": 100.33638888888889,
    "ds_acq_lat_north": 38.88138888888889,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "apply-access",
    "ds_total_size": 7086774,
    "ds_files_count": 2,
    "ds_format": "tif",
    "ds_space_res": null,
    "ds_time_res": "日",
    "ds_coordinate": "WGS84",
    "ds_projection": "",
    "ds_thumbnail": "fea2277e-4ddb-4672-9934-a64e86dc8908.png",
    "ds_thumb_from": 0,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "本数据由“黑河生态水文遥感试验（HiWATER）”产生，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。\n\n",
    "ds_from_station": null,
    "organization_id": "c94b3578-20da-4346-9de9-c702b6ca8983",
    "ds_serv_man": "敏玉芳",
    "ds_serv_phone": "0931-4967596",
    "ds_serv_mail": "ncdc@lzb.ac.cn",
    "doi_value": "",
    "subject_codes": null,
    "quality_level": 3,
    "publish_time": "2021-08-31 15:46:16",
    "last_updated": "2023-08-23 16:47:34",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.ncdc.NIEER.2021.1941",
    "i18n": {
        "en": {
            "title": "Heihe River eco hydrological remote sensing experiment: land use and cover data set of the core experimental area of flux observation matrix in the middle reaches of Heihe River Basin (2012)",
            "ds_format": "",
            "ds_source": "<p></p>\n<p>&emsp;&emsp; Based on CASI aerial remote sensing data, the region is classified by hierarchical classification method. Tree, grassland, bare land + construction land category: comprehensive use of pixel based and object-based classification methods</p>\n</p>",
            "ds_quality": "<p></p>\n<p>&emsp;&emsp; Good data quality</p>\n</p>",
            "ds_ref_way": "",
            "ds_abstract": "<p>   During the aerial remote sensing experiment in the middle reaches of the Heihe River in 2012, high-resolution land cover data were obtained by using aviation CASI data combined with ground survey in the core observation area of the middle reaches of the Heihe River.\n</p>\n<p>   Classification method:\n</p>\n<p>   Based on CASI aerial remote sensing data, the region is classified by hierarchical classification method. Tree, grassland, bare land + construction land category: comprehensive use of pixel based and object-based classification methods. Various crop categories: for the categories that are difficult to distinguish, they are obtained by visual interpretation in combination with ground survey points</p>",
            "ds_time_res": "日",
            "ds_acq_place": "Heihe River Basin, artificial oasis experimental area in the middle reaches, flux observation matrix",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<p></p>\n<p>&emsp;&emsp; Based on CASI aerial remote sensing data, the region is classified by hierarchical classification method. Tree, grassland, bare land + construction land category: comprehensive use of pixel based and object-based classification methods. Various crop categories: for the categories that are difficult to distinguish, they are obtained by visual interpretation in combination with ground survey points</p>\n</p>",
            "ds_ref_instruction": "                                                                                \nThis data is generated by \"Heihe eco hydrological remote sensing experiment (hiwater)\". When using the data, users should clearly state the source of the data in the text and quote the reference method provided by this metadata in the reference part."
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 0,
    "license_type": "CC BY 4.0",
    "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",
        "土地利用",
        "土地覆被",
        "航空遥感产品",
        "植被类型",
        "CASI"
    ],
    "ds_subject_tags": [
        "自然地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "黑河流域",
        "中游人工绿洲试验区",
        "通量观测矩阵"
    ],
    "ds_time_tags": [
        2012
    ],
    "ds_contributors": [
        {
            "true_name": "王旭峰",
            "email": "wangxufeng@lzb.ac.cn",
            "work_for": " 中国科学院西北生态环境资源研究院",
            "country": "中国"
        },
        {
            "true_name": "张苗",
            "email": "",
            "work_for": "",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "王旭峰",
            "email": "wangxufeng@lzb.ac.cn",
            "work_for": " 中国科学院西北生态环境资源研究院",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "张苗",
            "email": "",
            "work_for": "",
            "country": "中国"
        },
        {
            "true_name": "王旭峰",
            "email": "wangxufeng@lzb.ac.cn",
            "work_for": " 中国科学院西北生态环境资源研究院",
            "country": "中国"
        }
    ],
    "category": "遥感及产品"
}