{
    "created": "2020-04-24 10:05:51",
    "updated": "2026-05-23 04:20:36",
    "id": "1b417871-75e4-4c38-81de-cd69245bcfbb",
    "version": null,
    "ds_topic": "08041275-2f42-4e77-bf0f-58e4efe226db",
    "title_cn": "黑河流域遥感影像数据集（1963-2013年）",
    "title_en": "Remote sensing image dataset of Heihe River Basin (1963-2013)",
    "ds_abstract": "<p>本数据为1963-2013年黑河流域遥感影像数据集共包含14期遥感影像数据（遥感影像的编号为133/33、134/31、134/32、134/33、135/32）\n（1）Landsat TM/ETM数据有：2013年、2009年、2006年、2002年、1999年、1996年、1993年、1990年和1986年\n（2）Landsat MSS数据有：1973年、1977年\n（3）KATE-200影像数据：1980年\n（4）KeyHole卫星存档数据：1963、1968年</p>",
    "ds_source": "<p>（1）1963年、1968年KeyHole卫星数据、1980年KATE-200影像数据购买于北京拓普视野科技有限公司\n（2）1986年、1990年、1993年和1996年Landsat TM5数据购买\n于中国科学院对地观测于数字地球科学中心\n（3）剩余数据均在网上下载，下载地址：\nhttp://glovis.usgs.gov/\n http://glcfapp.glcf.umd.edu:8080/esdi/index.jsp</p>",
    "ds_process_way": "<p>借助地形图或已纠正好的影像对其余影像进行几何纠正；对多光谱影像（Landsat MSS/TM/ETM）进行波段组合，并进行拼接。</p>",
    "ds_quality": "<p>1.原始资料数据精度\nLandsat TM数据空间分辨率为30m \nLandsat MSS数据空间分辨率为80m \nKeyHole卫星数据空间分辨率为2.7-7.5m\nKATE-200影像数据空间分辨率为8.9m\n2.项目数据产生和汇集过程中的相关质量控制措施，包括完整的数据产生过程、使用的方法和标准规范、数据应用范围等内容。\n采用“Polynomial”模型二次多项式对影像就行纠正，每幅影像大致选择30个左右的控制点，均匀分布于图像。重采样采用最近邻法，保证纠正误差低于0.5个像元。分别采用“741”、 “321”模式对LandsatTM/ETM，Landsat MSS进行波段组合\n3.加工后数据精度\n纠正误差低于0.5个像元</p>",
    "ds_acq_start_time": "1963-01-01 00:00:00",
    "ds_acq_end_time": "2013-12-31 00:00:00",
    "ds_acq_place": "黑河流域",
    "ds_acq_lon_east": 101.94194444444445,
    "ds_acq_lat_south": 37.72361111111111,
    "ds_acq_lon_west": 97.3611111111111,
    "ds_acq_lat_north": 42.67333333333333,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "apply-access",
    "ds_total_size": 7399972069,
    "ds_files_count": 9,
    "ds_format": "aux,rrd,tif,dbf",
    "ds_space_res": null,
    "ds_time_res": "年",
    "ds_coordinate": "无",
    "ds_projection": "横轴墨卡托投影系统",
    "ds_thumbnail": "1b417871-75e4-4c38-81de-cd69245bcfbb.png",
    "ds_thumb_from": 2,
    "ds_ref_way": "颉耀文，黑河流域遥感影像数据集（1963-2013年），国家冰川冻土沙漠科学数据中心(www.ncdc.ac.cn)，2020，doi：10.12072/ncdc.973Desert.db0053.2020",
    "paper_ref_way": "",
    "ds_ref_instruction": "",
    "ds_from_station": null,
    "organization_id": "eb2b3ac4-919d-433d-b987-bcee1ae83c9e",
    "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": "2020-12-21 17:36:30",
    "last_updated": "2020-12-21 17:36:30",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.ncdc.973Desert.2020.121",
    "i18n": {
        "en": {
            "title": "Remote sensing image dataset of Heihe River Basin (1963-2013)",
            "ds_format": "",
            "ds_source": "<p>(1) Keyhole satellite data in 1963 and 1968 and kate-200 image data in 1980 were purchased from Beijing top Vision Technology Co., Ltd\n(2) Landsat TM5 data purchases in 1986, 1990, 1993 and 1996\nEarth observation center of Chinese Academy of Sciences\n(3) The remaining data can be downloaded from the Internet\nhttp://glovis.usgs.gov/\nhttp://glcfapp.glcf.umd.edu :8080/esdi/ index.jsp </p>",
            "ds_quality": "<p>1. Accuracy of original data\nThe spatial resolution of Landsat TM data is 30m\nThe spatial resolution of LANDSAT MSS data is 80m\nThe spatial resolution of keyhole satellite data is 2.7-7.5m\nThe spatial resolution of kate-200 image data is 8.9m\n2. Relevant quality control measures in the process of project data generation and collection, including complete data generation process, methods and standards, data application scope, etc.\nThe \"polynomial\" model quadratic polynomial is used to correct the image. About 30 control points are selected for each image and evenly distributed in the image. The nearest neighbor method is used in resampling to ensure that the correction error is less than 0.5 pixels. The band combination of Landsat TM / ETM and LANDSAT MSS was carried out with \"741\" and \"321\" modes respectively\n3. Data accuracy after processing\nThe correction error is less than 0.5 pixels</p>",
            "ds_ref_way": "",
            "ds_abstract": "<p>This data is the remote sensing image data set of Heihe River Basin from 1963 to 2013, including 14 periods of remote sensing image data (the number of remote sensing image is 133 / 33, 134 / 31, 134 / 32, 134 / 33, 135 / 32)\n(1) Landsat TM / ETM data are: 2013, 2009, 2006, 2002, 1999, 1996, 1993, 1990 and 1986\n(2) LANDSAT MSS data are: 1973, 1977\n(3) Kate-200 image data: 1980\n(4) Keyhole satellite archive data: 1963, 1968</p>",
            "ds_time_res": "年",
            "ds_acq_place": "Heihe River Basin",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<p>With the help of topographic map or corrected images, the remaining images were geometrically corrected, and multi spectral images (LANDSAT MSS / TM / ETM) were combined and stitched. </p>",
            "ds_ref_instruction": "                                        "
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 0,
    "recommendation_value": 0,
    "license_type": "https://creativecommons.org/licenses/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": [
        "Landsat TM/ETM，Landsat MSS，KATE-200，KeyHole"
    ],
    "ds_subject_tags": [
        "自然地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "黑河流域"
    ],
    "ds_time_tags": [
        1963,
        1968,
        1973,
        1977,
        1980,
        1986,
        1990,
        1993,
        1996,
        1999,
        2002,
        2006,
        2009,
        2013
    ],
    "ds_contributors": [
        {
            "true_name": "颉耀文",
            "email": "xieyw@lzu.edu.cn",
            "work_for": "兰州大学",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "颉耀文",
            "email": "xieyw@lzu.edu.cn",
            "work_for": "兰州大学",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "王涛",
            "email": "wangtao@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": "颉耀文",
            "email": "xieyw@lzu.edu.cn",
            "work_for": "兰州大学",
            "country": "中国"
        }
    ],
    "category": "遥感及产品"
}