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划分沙漠区域中的沙丘类型。数据集中涉及的沙漠主要包括库布奇沙漠，乌兰布和沙漠，库木塔格沙漠，腾格里沙漠，巴丹吉林沙漠，柴达木沙漠，古尔班通古特沙漠，塔克拉玛干沙漠、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。时间范围为2000，2005，2010，2015，2020年。本沙丘数据集为中国地区沙丘分类方法提供了基础数据。\n
本数据集针对塔克拉玛干和古尔班通古特的2005年数据存在数据缺失。主要源于Landsat 7卫星2003年5月31日的扫描线校正器（SLC）故障，该故障导致卫星获取的图像出现系统性条带缺失，沙漠区域难以通过常规算法修复。", "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. 人工注释方法进行沙丘分类: 使用labelme软件对裁剪好的图像人工标注沙丘类型，成为模型的训练集。
3. 数据增强: 对数据集进行翻转，旋转等操作得到最终的数据集。", "ds_quality": "
所标注沙丘的形态平均精度在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": "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_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": 64549219609, "ds_files_count": 68, "ds_format": "tif", "ds_space_res": "30m", "ds_time_res": "5年", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "58fd249a-9668-4eab-a9a3-92f85e310c65.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": "2025-04-14 18:04:49", "last_updated": "2025-11-22 12:01:14", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.NIEER.DB6902.2025", "i18n": { "en": { "title": "Data set of desert dune morphology distribution 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 dune morphology is within 1 pixel (30 m).", "ds_ref_way": "", "ds_abstract": "
This dataset is based on Landsat remote sensing images, and desert area images are obtained through preprocessing algorithms such as radiometric calibration and atmospheric correction. The sand dune types in the desert area are divided through manual visual interpretation. The deserts involved in the data set mainly include Kubuqi Desert, Ulan Buhe Desert, Kumtag Desert, Tengger Desert, Badain Jaran Desert, Qaidam Desert, Gurbantunggut Desert, and Taklimakan Desert，Atyrau desert,Karakum desert,Kavir desert,Kharan desert,Kyzylkum desert,Lut desert,Moinkum desert,Registan desert,Thar desert. The time range is 2000, 2005, 2020, 2020, and 2020. This sand dune dataset provides basic data for sand dune classification methods in China.
", "ds_time_res": "5年", "ds_acq_place": " Kubuqi Desert, Ulan Buhe Desert, Kumtag Desert, Tengger Desert, Badain Jaran Desert, Qaidam Desert, Gurbantunggut Desert, and Taklimakan Desert", "ds_space_res": "30m", "ds_projection": "", "ds_process_way": "1. Remote Sensing Data Preprocessing: Radiometric calibration, atmospheric correction, image stitching, cropping, color correction.\n
2. Manual Annotation Method for Dune Classification:\nUsing Labelme software to manually annotate the cropped images with dune types, forming the training set for the model.\n
3. Data Augmentation: Performing operations such as flipping and rotating on the training set to obtain the final dataset.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 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": [ "沙丘分类", "\"一带一路\"沿线区域沙漠" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "中国" ], "ds_time_tags": [ 2000, 2005, 2010, 2015, 2020 ], "ds_contributors": [ { "true_name": "张天睿", "email": "220220943561@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": "张天睿", "email": "220220943561@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" }