子午岭国家级重点预防区土地利用图数据集包括陕西省铜川市印台区、陕西省铜川市王益区、陕西省铜川市耀州区和陕西省铜川市宜君县等区域2013年、2014年、2015年、2016年和2017年的土地利用，保存格式为xlsx，数据命名采用“所属重点治理区＋行政区＋年份＋土地利用统计表”的形式，如“××重点治理区××县××年土地利用统计表”。土地利用的分类系统包括8个一级类、22个二级类和2个三级类。
", "ds_source": "数据源为Landsat TM和ETM+数据，主要从美国地质调查局（USGS，https://glovis.usgs.gov/） 获取，少数从中国地理空间数据云（http://www.gscloud.cn/） 获取
", "ds_process_way": "基于eCognition软件平台，采用面向对象计算机自动分类与人工目视解译相结合的方法，提取研究区逐年土地利用数据。然后采用三种方法对数据精度进行验证：野外样本点调查、高分辨率影像识别和Google Earth的样本点识别。最后根据土地利用分类标准，统计得到土地利用统计表。
", "ds_quality": "遥感影像均经过辐射纠正、正射纠正以及融合、镶嵌等预处理。\n最小图斑面积对应的实际地物面积不小于0.1hm2，多边形无重叠、无空隙，图斑属性无空置或冗余。\n遥感影像解译前，采用遥感影像、典型调查、与实地对照的方法建立土地利用遥感解译标志。\n基于遥感影像，结合解译标志，提取土地利用类型。\n解译结果复查：抽取不少于总图斑的5%进行核查。\n野外验证样本数量和成果满足《水土保持遥感监测技术规范》（SL592-2012）的要求，对于核查图斑，抽取10%作为验证样本进行实地验证。
", "ds_acq_start_time": "2013-01-01 00:00:00", "ds_acq_end_time": "2017-12-31 00:00:00", "ds_acq_place": "子午岭国家级重点预防区", "ds_acq_lon_east": 109.49277777777777, "ds_acq_lat_south": 34.77194444444444, "ds_acq_lon_west": 108.5786111111111, "ds_acq_lat_north": 35.59722222222222, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 55456, "ds_files_count": 2, "ds_format": "Excel", "ds_space_res": "25.0m", "ds_time_res": "日", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "9408017a-66a0-4bce-a071-d3be0ff79fe6.jpg", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "本部分数据为有偿共享，如需申请使用，请联系数据贡献者“黄河流域水土保持生态环境监测中心” 邮箱：1283337@qq.com 电话：029-82118273", "ds_from_station": null, "organization_id": "18fc6591-ef53-4202-bc01-c3961ad212d2", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [], "quality_level": 3, "publish_time": "2021-10-27 14:09:57", "last_updated": "2025-10-15 14:49:23", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.HHSTBC.2020.204", "i18n": { "en": { "title": "Data set of land use statistics of Ziwuling national key prevention area from 2013 to 2017", "ds_format": "", "ds_source": "The main data from USGS and Landsat were, https://glovis.usgs.gov/ ）Access, a few from China geospatial data cloud（ http://www.gscloud.cn/ ）Get
", "ds_quality": "", "ds_ref_way": "", "ds_abstract": "The data set of land use map of Ziwuling national key prevention area includes Yintai District of Tongchuan City, Wangyi District of Tongchuan City, Yaozhou District of Tongchuan City and Yijun County of Tongchuan City of Shaanxi Province in 2013, 2014, 2015, 2016 and 2017. The format of preservation is xlsx, and the data is named as \"key governance area + administrative region + year + soil\" The form of \"statistical table of land use\", such as \"statistical table of land use of ×× key management area ×× County ×× year\". The classification system of land use includes 8 first class, 22 second class and 2 third class.
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