此数据集包含了1970年代、1990年代、2000年、2010年三工河流域绿洲数据。 解译标志建立后就可进行图像解译的绿洲信息提取工作，解译过程中要求以相应时期的CBRES图像、土地覆盖、辅助数据和相应的地形图为综合信息源，由专业人员完成判读分析。在土地覆盖类型的属性判定中，水体、农田和建设用地等类型，要求准确率达到或超过90%，其他类型达到或超过80%。在类型界线勾绘时，遥感影像与土地覆盖主要类型便捷的对应点误差一般小于图上0.6mm，最大不超过图上1mm。数据文件名称：1.三工河绿洲 （1）sg_oasis_1970 （2）sg_oasis_1990 (3）sg_oasis_2000 （4）sg_oasis_2010", "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": "95个图斑属性错误，解译定性正确率达到97.44%。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": "1970-01-01 00:00:00", "ds_acq_end_time": "2010-01-01 00:00:00", "ds_acq_place": "西北干旱区三工河流域", "ds_acq_lon_east": 101.0, "ds_acq_lat_south": 42.0, "ds_acq_lon_west": 99.0, "ds_acq_lat_north": 38.0, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 806819, "ds_files_count": 3, "ds_format": "adf", "ds_space_res": null, "ds_time_res": "年", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "9e5806ce-7951-4347-ac00-126cbb7deeca.jpg", "ds_thumb_from": 0, "ds_ref_way": "颜长珍, 常存，西北干旱区三工河流域1：10万土地绿洲数据集(1970、1990、2000、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.973Desert.db0008.2020", "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 11:33:03", "last_updated": "2020-12-21 11:33:03", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.973Desert.2020.161", "i18n": { "en": { "title": "1:100000 land oasis data set in Sangong River Basin, arid region of Northwest China (1970, 1990, 2000, 2010)", "ds_format": "", "ds_source": "USGS data acquisition
", "ds_quality": "95 patch attributes were wrong, and the qualitative accuracy of interpretation was 97.44%. 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 Sangong River Basin in 1970s, 1990s, 2000 and 2010. After the establishment of the interpretation mark, the oasis information can be extracted for image interpretation. In the process of interpretation, cbres image, land cover, auxiliary data and corresponding topographic map in corresponding period should be taken as the comprehensive information source, and the interpretation and analysis should be completed by professionals. In the attribute judgment of land cover type, the accuracy rate of water body, farmland and construction land should reach or exceed 90%, and that of other types should reach or exceed 80%. When drawing the type boundary, the error between the remote sensing image and the main types of land cover is generally less than 0.6 mm on the map, and the maximum error is no more than 1 mm on the map. Data file name: 1. Sangonghe Oasis (1) SG_ oasis_ 1970 （2）sg_ oasis_ 1990 (3）sg_ oasis_ 2000 （4）sg_ oasis_ two thousand and ten
", "ds_time_res": "年", "ds_acq_place": "Sangong River Basin in arid area of Northwest China", "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": " " } }, "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, "belong_to_nieer": false, "ds_topic_tags": [ "遥感", "土地利用", "土地覆被", "绿洲面积", "landsat" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "阜康市", "三工河流域", "新疆", "三工河" ], "ds_time_tags": [ 1970, 1990, 2000, 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" }