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，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": "塔克拉玛干沙漠,古尔班通古特沙漠,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", "ds_acq_lon_east": 111.24, "ds_acq_lat_south": 35.5, "ds_acq_lon_west": 76.14, "ds_acq_lat_north": 47.0, "ds_acq_alt_low": 1200.0, "ds_acq_alt_high": 1635.0, "ds_share_type": "open-access", "ds_total_size": 30842045514, "ds_files_count": 38, "ds_format": "", "ds_space_res": "30m", "ds_time_res": "5年", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "15bf06f1-130c-4f50-8778-c3661d7cf5fa.png", "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": "2024-06-12 11:26:11", "last_updated": "2026-01-13 09:07:52", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.NIEER.DB6508.2024", "i18n": { "en": { "title": "China 2000-2020 sand ridge dataset", "ds_format": "", "ds_source": "
Landsat land satellite imagery data: from the website of the United States Geological Survey（ https://www.usgs.gov/ ）Geospatial Data Cloud（ http://www.gscloud.cn/ ）Download.", "ds_quality": "
The average accuracy of the annotated sand ridge line 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 pre-processing algorithms such as radiometric calibration and atmospheric correction. Sand ridges in desert areas are extracted through manual visual interpretation. The deserts involved in the dataset mainly include Taklimakan Desert, Gurbantunggut Desert (the Junggar Basin Desert), Badain Jaran Desert, Tengger Desert, Kumtag Desert, Qaidam Basin Desert, Kubuqi Desert, Ulanbuh Desert, including five phases of 2000, 2005, 2010, 2015, and 2020. This sand ridge dataset provides basic data for the extraction method of sand ridges in desert areas of China and the study of sand dune movement patterns.
", "ds_time_res": "5年", "ds_acq_place": "Taklimakan Desert, Gurbantunggut Desert, Badain Jaran Desert, Tengger Desert, Kumtag Desert, Qaidam Basin Desert, Kubuqi Desert, Ulan Buhe 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 extracting sand ridges: Use edge annotation software tools based on PyQt5 to manually annotate sand ridges on cropped images, which become the training set for the model.
3. Data augmentation: Mirror flip and rotate the training set in 16 directions to obtain a 32 fold dataset.", "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": [ "塔克拉玛干沙漠", "古尔班通古特沙漠", "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" ], "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" }, { "true_name": "张耀南", "email": "yaonan@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "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" }