本数据集基于Landsat遥感影像，通过辐射定标和大气校正等预处理算法得到沙漠区域影像，通过人工目视解译的方法提提取沙漠区域中的沙脊线。数据集涉及的沙漠主要包括塔克拉玛干沙漠、 古尔班通古特沙漠（准噶尔盆地沙漠）、巴丹吉林沙漠、腾格里沙漠、库木塔格沙漠、柴达木盆地沙漠、库布齐沙漠、乌兰布和沙漠、阿特劳沙漠，卡拉库姆沙漠，卡维尔沙漠，卡兰沙漠，卡孜勒库姆沙漠，卢特沙漠，莫因库姆沙漠，雷基斯坦沙漠，塔尔沙漠，包含2000, 2005, 2010, 2015, 2020五期。本次沙脊线数据集为中国沙漠地区沙脊线提取方法，沙丘移动规律研究提供了基础数据。", "ds_source": "
Landsat陆地卫星影像数据：从美国地质调查局网站(https://www.usgs.gov/) 和地理空间数据云(http://www.gscloud.cn/) 下载。", "ds_process_way": "
1. 遥感数据预处理:辐射定标、大气校正、影像拼接、裁剪、颜色校正\n
2. 人工注释方法提取沙脊线:使用基于PyQt5的边缘标注软件工具对裁剪好的图像人工标注沙脊线，成为模型的训练集
3. 数据增强:对训练集进行镜像翻转和16个方向的旋转得到32倍的数据集。", "ds_quality": "
所标注沙脊线的平均精度在1像素(30 m)以内。", "ds_acq_start_time": "2000-01-01 00:00:00", "ds_acq_end_time": "2020-12-31 00:00:00", "ds_acq_place": "\"一带一路\"沿线区域", "ds_acq_lon_east": 111.24, "ds_acq_lat_south": 35.5, "ds_acq_lon_west": 52.5, "ds_acq_lat_north": 48.5, "ds_acq_alt_low": 1200.0, "ds_acq_alt_high": 1635.0, "ds_share_type": "login-access", "ds_total_size": 74641034041, "ds_files_count": 73, "ds_format": "tif", "ds_space_res": "30m", "ds_time_res": "5年", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "b7664ba4-f337-4707-a640-1ab3c2bf4710.jpg", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "9de89acc-5714-4927-aba3-ac88067dff8a", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2025-04-29 10:40:04", "last_updated": "2025-11-22 12:01:30", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.NIEER.DB6903.2025", "i18n": { "en": { "title": "Data set of desert sand ridges along the \"the Belt and Road\" (2000-2020)", "ds_format": "tif", "ds_source": "
Landsat Images: Download from the websites of the United States Geological Survey (https://www.usgs.gov/) and Geospatial Data Cloud (http://www.gscloud.cn/).", "ds_quality": "
The average accuracy of the marked sand ridges is within 1 pixel (30 m).", "ds_ref_way": "", "ds_abstract": "
This dataset is based on Landsat remote sensing imagery and obtained desert area images through preprocessing algorithms such as radiometric calibration and atmospheric correction. The sand dune crests were extracted manually through visual interpretation. The deserts covered in the dataset mainly include the Taklamakan Desert, the Junggar Basin Desert (the desert in the Junggar Basin), the Badain Jaran Desert, the Tengger Desert, the Kumtag Desert, the Qaidam Basin Desert, the Kubuqi Desert, and the Wulanbuhu DesertAtyrau desert,Karakum desert,Kavir desert,Kharan desert,Kyzylkum desert,Lut desert,Moinkum desert,Registan desert,Thar desert. It contains five periods from 2000 to 2020. This sand dune crest dataset provides a basis for the extraction of sand dune crests and the study of sand dune movement patterns in desert areas of China.
", "ds_time_res": "5年", "ds_acq_place": "The regions along the Belt and Road Initiative", "ds_space_res": "30m", "ds_projection": "", "ds_process_way": "1. Pre-processing of Remote Sensing Data：Radiometric calibration, atmospheric correction, image stitching, cropping, color correction\n
2. Artificial annotation method to extract sand ridges：The edge annotation software tool based on PyQt5 was used to manually label the cropped images with sand ridge lines, which became the training set of the model.\n
3. Manual Vectorization and Entering of Attribute Data：The training set is flipped and rotated in 16 directions to get 32 times the data set.", "ds_ref_instruction": "" } }, "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": [ "沙脊线", "中国沙漠" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "腾格里沙漠，塔克拉马干沙漠，巴丹吉林沙漠，库布奇沙漠，乌兰布和沙漠，库木塔格沙漠，古尔班通古特沙漠，柴达木沙漠", "阿特劳沙漠，卡拉库姆沙漠，卡维尔沙漠，卡兰沙漠，卡孜勒库姆沙漠，卢特沙漠，莫因库姆沙漠，雷基斯坦沙漠，塔尔沙漠" ], "ds_time_tags": [ 2000, 2005, 2010, 2015, 2020 ], "ds_contributors": [ { "true_name": "柳新朝", "email": "220220943471@lzu.edu.cn", "work_for": "兰州大学信息科学与工程学院", "country": "中国" }, { "true_name": "王兆滨", "email": "wangzhb@lzu.edu.cn", "work_for": "兰州大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "柳新朝", "email": "220220943471@lzu.edu.cn", "work_for": "兰州大学信息科学与工程学院", "country": "中国" } ], "ds_managers": [ { "true_name": "王兆滨", "email": "wangzhb@lzu.edu.cn", "work_for": "兰州大学", "country": "中国" } ], "category": "沙漠与荒漠化" }