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，通过人工目视解译及波段指数的方法提提取沙漠边界区域。数据集涉及的沙漠主要包括\"一带一路\"沿线区域主要沙漠。分别为腾格里沙漠，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，塔尔沙漠共计17个沙漠，时间跨度为2000-2020每5年一次数据。\n
1. 数据集命名\n
\"一带一路\"沿线区域沙漠2000-2020边界数据集\n
2. 属性信息\n
数据精度：30m", "ds_source": "
Landsat陆地卫星影像数据\n
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漠边界: 使用基于labelme标注软件工具对裁剪好的图像人工标注沙漠边界，成为模型的训练集。
3. 数据增强: 对训练集进行镜像翻转和方向的旋转得到10倍的数据集。", "ds_quality": "
所标注沙漠边界的平均精度在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": 75491864133, "ds_files_count": 78, "ds_format": "tif", "ds_space_res": "30m", "ds_time_res": "5年", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "15c8316e-5435-4975-97bf-f14586adc097.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": "2025-04-14 18:22:33", "last_updated": "2025-11-22 11:56:47", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.NIEER.DB6904.2025", "i18n": { "en": { "title": "Data set of desert distribution and area along the \"the Belt and Road\" (2000-2020)", "ds_format": "tif", "ds_source": "
Landsat Images \n
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 desert boundary is within 1 pixel (30 m).", "ds_ref_way": "", "ds_abstract": "
This dataset is based on Landsat remote sensing images. Through preprocessing algorithms such as radiometric calibration and atmospheric correction, images of desert areas were obtained. The boundaries of the desert areas were extracted through manual visual interpretation and band index methods. The deserts involved in this dataset mainly include the major deserts along the \"Belt and Road\" region. They are the Tengger Desert, the Taklimakan Desert, the Badain Jaran Desert, the Kubuqi Desert, the Ulan Buh Desert, the Kumtag Desert, the Gurbantunggut Desert, the Qaidam Desert,Atyrau desert,Karakum desert,Kavir desert,Kharan desert,Kyzylkum desert,Lut desert,Moinkum desert,Registan desert,Thar desertand a total of 17 deserts. The time span is from 2000 to 2020, with data collected every five years.\n
1. Name of Data\n
The regions along the Belt and Road Initiative 2000-2020 Boundary Dataset\n
2. Data description of attribute items \n
Data accuracy: 30m
", "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. Remote sensing data preprocessing: Radiation calibration, atmospheric correction, image stitching, cropping, color correction.\n
2. Manual annotation method for extracting desert boundary: Using labelme based annotation software tools to manually annotate desert boundaries on cropped images as the training set for the model.
3. Data augmentation: Perform mirror flipping and directional rotation on the training set to obtain a dataset that is 10 times larger.", "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": [ "沙漠边界", "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": "吕永科", "email": "220220942031@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" }, { "true_name": "吕永科", "email": "220220942031@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" }