本数据集为机载WiDAS传感器于2008年07月07日获取，地点在阿柔飞行区。 \n
\n原始数据可见近红外波段成像频率低，受云和云影的影响比较严重，又因为地面缺乏特征点，难以开展自动几何校正。因此面向普通用户发布的是部分经过辐射校正和手工几何校正的Level-2B数据产品和镶嵌图像，可见近红外波段分辨率是1.25m，保存的物理量为Radiance，单位是W/(sr·m^2·nm)，转换公式：DN=Radiance×100000，热红外（TIR）波段保存的物理量为传感器入瞳亮温，单位是：℃ ，转换公式：DN=Brightness_Temperature×100。\n
\n数据处理时间为20010年2月。原始数据（Level-1A数据）存档，需提交申请并通过审批后才能获得。", "ds_source": "
本数据集为机载WiDAS传感器于2008年07月07日获取，地点在阿柔飞行区。数据处理时间为20010年2月，原始数据（Level-1A数据）存档，需提交申请并通过审批后才能获得。本数据集的原始数据包括4条航线。", "ds_process_way": "
经过辐射校正和手工几何校正的Level-2B数据产品和镶嵌图像，可见近红外波段分辨率是1.25m，保存的物理量为Radiance，单位是W/(sr·m^2·nm)，转换公式：DN=Radiance×100000，热红外（TIR）波段保存的物理量为传感器入瞳亮温，单位是：℃ ，转换公式：DN=Brightness_Temperature×100。", "ds_quality": "
数据质量良好", "ds_acq_start_time": "2008-07-17 00:00:00", "ds_acq_end_time": "2008-07-17 00:00:00", "ds_acq_place": "黑河流域,中游干旱区水文试验区,阿柔加密观测区", "ds_acq_lon_east": 100.65, "ds_acq_lat_south": 38.0, "ds_acq_lon_west": 100.15, "ds_acq_lat_north": 38.11666666666667, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 3317380948, "ds_files_count": 503, "ds_format": "excel", "ds_space_res": null, "ds_time_res": "时", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "896797e3-0276-4f09-bdf5-2e08a9070dc8.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "本数据由“黑河综合遥感联合试验”产生，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": "14df1d8b-6362-4c0f-b88e-b46d4abe5db9", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "10.12072/ncdc.NIEER.db1724.2022", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2021-09-14 09:58:44", "last_updated": "2023-09-04 17:43:33", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.NIEER.2021.21", "i18n": { "en": { "title": "Heihe River Integrated Remote Sensing joint test: Airborne widas data set in Ajo flight area (July 7, 2008)", "ds_format": "Excel", "ds_source": "
This data set was acquired by the airborne widas sensor on July 7, 2008, in the ARJO flight area. The data processing time is February 2010. The original data (level-1a data) is archived and can only be obtained after submitting an application and approval. The original data of this data set includes 4 routes.", "ds_quality": "
Good data quality", "ds_ref_way": "", "ds_abstract": "
This data set was acquired by the airborne widas sensor on July 7, 2008, in the ARJO flight area.\n
\nThe imaging frequency of the visible near-infrared band of the original data is low, which is seriously affected by clouds and cloud shadows, and it is difficult to carry out automatic geometric correction because of the lack of feature points on the ground. Therefore, level-2b data products and mosaic images that have been partially radiometrically corrected and manually geometrically corrected are released to ordinary users. The resolution of visible near-infrared band is 1.25m, and the saved physical quantity is radiance, with the unit of W / (SR · m ^ 2 · nm). The conversion formula is DN = radiance × 100000, the physical quantity stored in the thermal infrared (TIR) band is the bright temperature of the sensor entrance pupil, the unit is: ℃, and the conversion formula is DN = brightness_ Temperature × 100。\n
\nThe data processing time is February 2010. The original data (level-1a data) can be archived only after the application is submitted and approved.
", "ds_time_res": "时", "ds_acq_place": "Heihe River Basin, Arid area in the middle reaches, Hydrological experimental area, Arrou intensive observation area", "ds_space_res": "", "ds_projection": "", "ds_process_way": "For level-2b data products and mosaic images after radiometric correction and manual geometric correction, the resolution of visible near-infrared band is 1.25m, and the stored physical quantity is radiance, with the unit of W / (SR · m ^ 2 · nm). The conversion formula is DN = radiance × 100000, the physical quantity stored in the thermal infrared (TIR) band is the bright temperature of the sensor entrance pupil, the unit is: ℃, and the conversion formula is DN = brightness_ Temperature × 100。", "ds_ref_instruction": "This data is generated by \"Heihe integrated remote sensing joint test\". When using the data, users should clearly state the source of the data in the text and quote the reference method provided by this metadata in the reference part." } }, "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": [ "热像仪", "机载 地面遥感", "CCD相机", "红红外广角双模式成像仪WiDAS" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "黑河流域", "中游干旱区水文试验区", "阿柔加密观测区" ], "ds_time_tags": [ 2008 ], "ds_contributors": [ { "true_name": "肖青", "email": "xiaoqing@irsa.ac.cn", "work_for": "中国科学院遥感与数字地球研究所", "country": "中国" }, { "true_name": "闻建光", "email": "wenjg@irsa.ac.cn", "work_for": "中国科学院遥感与数字地球研究所", "country": "中国" }, { "true_name": "李新", "email": "lixin@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "马明国", "email": "mmg@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": "马明国", "email": "mmg@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": "马明国", "email": "mmg@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" }