此数据集包含了1965年代、1975年代、1999年、2000年、2005年2010黑河流域（包括阿拉善和河西）绿洲数据。数据文件为： （1）hhalax1965 （2）hhalax1975 （3）hhalax1990 （4）hhalax2000 （5）hhhx2005（6）hhhx2010
", "ds_source": "usgs数据获取
", "ds_process_way": "1.采用的遥感数据为Landsat MSS和TM/ETM数据，多光谱数据纠正后的影像采用432波段假彩色合成，在ARCGIS软件中通过人机交互方式以1：10万制图标准提取绿洲信息。 2.数据生成流程为：影像下载-几何纠正-分类体系确定-解译标志确定-人机交互解译-精度验证
", "ds_quality": "为了保证解译的正确性，对四期绿洲数据进行抽查，通过再次判读，以保证信息提取精度达到设计要求。抽样时，采取随机抽样的方法，对全部图斑，以5%的抽样率以及10%的面积比例进行选取样本。判别标准采用多期河西走廊土地覆盖外业考察所获取的GPS定位信息、野外记录、照片等信息，以及各种相关的辅助资料信息。 结果表明，全部抽样图斑达3704个，经判读确认有3609个图斑属性正确、95个图斑属性错误，解译定性正确率达到97.44%（表1.7）。各类型的准确率也达到了90%以上。其中水域湿地和建设用地分类准确率高达100%和98.51%，耕地和林地的准确率为96.85%和96.29%，草地中由于对低盖度草地的解译精度较低，所以草地的准确率较低，为93.81%。
\n\n", "ds_acq_start_time": "1965-01-01 00:00:00", "ds_acq_end_time": "2010-01-01 00:00:00", "ds_acq_place": "黑河流域河西走廊", "ds_acq_lon_east": 101.0, "ds_acq_lat_south": 42.0, "ds_acq_lon_west": 98.0, "ds_acq_lat_north": 38.0, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 30392078, "ds_files_count": 2, "ds_format": "adf", "ds_space_res": null, "ds_time_res": "年", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "74501549-f3a0-44bf-a54d-6fa6d04c2a80.jpg", "ds_thumb_from": 0, "ds_ref_way": "颜长珍, 常存，西北干旱区黑河流域河西走廊1：10万土地绿洲数据集(1965、1975、1990、2000、2005、2010年)，国家冰川冻土沙漠科学数据中心(www.ncdc.ac.cn)，2020，doi：10.12072/NCDC.0009.2020.db", "paper_ref_way": "", "ds_ref_instruction": "使用本数据集时，请在文章中引用以下文献：\n [1]廖杰,王涛,薛娴. 近55a来黑河流域绿洲演变特征的初步研究. 2012, 中国沙漠, 32(5):1426-1441.\n", "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 11:43:44", "last_updated": "2020-12-21 11:43:44", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.973Desert.2020.162", "i18n": { "en": { "title": "1:100000 land oasis data set in Hexi Corridor of Heihe River Basin in arid region of Northwest China (1965, 1975, 1990, 2000, 2005, 2010)", "ds_format": "", "ds_source": "USGS data acquisition
", "ds_quality": "In order to ensure the accuracy of the interpretation, the fourth phase of oasis data were selected and re interpreted to ensure the accuracy of information extraction to meet the design requirements. When sampling, random sampling method is adopted to select samples from all spots with a sampling rate of 5% and an area ratio of 10%. The discrimination criteria are GPS positioning information, field records, photos and other information obtained from multi-stage field investigation of land cover in Hexi Corridor, as well as various relevant auxiliary information. The results showed that 3704 spots were sampled, 3609 spots were correct and 95 spots were wrong after interpretation, and the accuracy rate of qualitative interpretation was 97.44% (table 1.7). The accuracy of each type is more than 90%. The accuracy of water wetland and construction land was 100% and 98.51%, the accuracy of cultivated land and woodland was 96.85% and 96.29%. The accuracy of grassland was 93.81% because of the low coverage grassland.
\n", "ds_ref_way": "", "ds_abstract": "This data set contains the oasis data of the Heihe River Basin (including Alxa and Hexi) in 1965, 1975, 1999, 2000 and 2005. The data files are as follows: (1) hhalax1965 (2) hhalax1975 (3) hhalax1990 (4) hhalax2000 (5) hhhx2005 (6) hhhx2010
", "ds_time_res": "年", "ds_acq_place": "Hexi Corridor in Heihe River Basin", "ds_space_res": "", "ds_projection": "", "ds_process_way": "1. The remote sensing data are LANDSAT MSS and TM / ETM data. The corrected multispectral images are synthesized by 432 band pseudo color. The oasis information is extracted by 1:100000 mapping standard in ArcGIS software by human-computer interaction. 2. Data generation process: image download geometric correction classification system determination interpretation mark determination human computer interaction interpretation accuracy verification
", "ds_ref_instruction": "\n " } }, "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": [ "土地分类", "卫星", "绿洲", "遥感", "landsat" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "黑河流域", "河西走廊", "西北干旱区" ], "ds_time_tags": [ 1965, 1975, 1990, 2000, 2005, 2010 ], "ds_contributors": [ { "true_name": "颜长珍", "email": "yancz@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": "常存", "email": "changc@ms.xjb.ac.cn", "work_for": "中国科学院新疆生态与地理研究所", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "颜长珍", "email": "yancz@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": "常存", "email": "changc@ms.xjb.ac.cn", "work_for": "中国科学院新疆生态与地理研究所", "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": "颜长珍", "email": "yancz@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": "常存", "email": "changc@ms.xjb.ac.cn", "work_for": "中国科学院新疆生态与地理研究所", "country": "中国" } ], "category": "沙漠与荒漠化" }