Landsat8是美国陆地卫星计划（Landsat）的第八颗卫星，于2013年2月11号在加利福尼亚范登堡空军基地由Atlas-V火箭搭载发射成功，最初称为“陆地卫星数据连续性任务”（Landsat Data Continuity Mission，LDCM）。Landsat 8上携带陆地成像仪（Operational Land Imager ，OLI）和热红外传感器（Thermal Infrared Sensor，TIRS）。\n
Landsat 9 是美国陆地卫星计划（Landsat）的第九颗卫星，2021年9月27日，Landsat 9从加利福尼亚范登堡太空部队基地成功发射。Landsat 9将每隔16天对地球进行一次成像，与Landsat8存在8天的偏移。\n
OLI陆地成像仪包括9个波段，空间分辨率为30米，其中包括一个15米的全色波段，成像宽幅为185x185km。热红外传感器TIRS包括2个单独的热红外波段，分辨率100米。本数据集包含黄河流域Landsat OLI的C2-L1级数据产品,数据均来源于美国地质调查局网站。\n
该数据产品空间分辨率为30m，云量小于20%。
", "ds_source": "数据均来源于美国地质调查局网站（https://earthexplorer.usgs.gov/)。
", "ds_process_way": "L1级数据产品只是通过几何校正过的数据。相对于Collection1 Level1的数据，采用了新的地面控制点GCPS phase2，GCPS phase2融合的是landsat8和sentinel-2两者的控制点。Collection2 Level1数据提高了几何校正和辐射定标的精度。特别是几何校正的精度很大的改善。
", "ds_quality": "云量小于20%，数据质量良好。
", "ds_acq_start_time": "2013-01-01 00:00:00", "ds_acq_end_time": "2022-12-31 00:00:00", "ds_acq_place": "黄河流域", "ds_acq_lon_east": 119.33999999999999, "ds_acq_lat_south": 32.84, "ds_acq_lon_west": 95.88, "ds_acq_lat_north": 41.84, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "open-access", "ds_total_size": 8863119043939, "ds_files_count": 7032, "ds_format": "Tiff", "ds_space_res": "30米", "ds_time_res": "", "ds_coordinate": "WGS84", "ds_projection": "UTM", "ds_thumbnail": "5b8a6235-442c-4930-9780-d8d55d2077c3.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "用户在使用数据时请在正文中明确声明数据的来源，并在参考文献部分引用本元数据提供的引用方式。", "ds_from_station": null, "organization_id": "b412fac3-1f10-4eb6-9d10-c51bcea30d0c", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "10.12072/ncdc.YRiver.db2197.2022", "subject_codes": [ "170.45" ], "quality_level": 3, "publish_time": "2022-06-07 18:18:17", "last_updated": "2025-05-29 10:51:38", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.YRiver.db2197.2022", "i18n": { "en": { "title": "Yellow River Basin Landsat OLI/TIRS Remote Sensing Dataset (2013-2022)", "ds_format": "Tiff", "ds_source": "The data are all sourced from the United States Geological Survey website\n（ https://earthexplorer.usgs.gov/ ).
", "ds_quality": "Cloud cover is less than 20%, indicating good data quality.
", "ds_ref_way": "", "ds_abstract": "Landsat 8 is the eighth satellite of the United States' Landsat program, successfully launched on February 11, 2013, at Vandenberg Air Force Base in California aboard an Atlas-V rocket. It was initially known as the \"Landsat Data Continuity Mission\" (LDCM). Landsat 8 carries the Operational Land Imager (OLI) and the Thermal Infrared Sensor (TIRS).\n
Landsat 9 is the ninth satellite of the United States' Landsat program. On September 27, 2021, Landsat 9 was successfully launched from Vandenberg Space Force Base in California. Landsat 9 will image the Earth every 16 days, with an 8-day offset from Landsat 8.\n
The OLI includes 9 bands with a spatial resolution of 30 meters, including a 15-meter panchromatic band, with an imaging swath of 185x185km. The TIRS includes 2 separate thermal infrared bands with a resolution of 100 meters. This dataset contains Level C2-L1 data products from the Landsat OLI in the Yellow River Basin, all sourced from the United States Geological Survey website.\n
The spatial resolution of this data product is 30 meters, and the cloud cover is less than 20%.
", "ds_time_res": "", "ds_acq_place": "Yellow River Basin", "ds_space_res": "30米", "ds_projection": "UTM", "ds_process_way": "L1-level data products are simply data that have undergone geometric correction. Compared to Collection 1 Level 1 data, new Ground Control Points (GCPS) phase 2 have been adopted, which integrate control points from both Landsat 8 and Sentinel-2. Collection 2 Level 1 data have improved the accuracy of geometric correction and radiometric calibration, particularly with significant enhancements in geometric correction accuracy.
", "ds_ref_instruction": "When using the data, users should clearly state the source of the data in the body, and quote the reference method provided by this metadata in the References section." } }, "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": [ "遥感影像", "TIRS", "OLI", "Landsat8", "Landsat9" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "黄河流域" ], "ds_time_tags": [ 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022 ], "ds_contributors": [ { "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": "李红星", "email": "lihongxing@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_managers": [ { "true_name": "敏玉芳", "email": "myf@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "category": "遥感及产品" }