卫星遥感仪器并不能直接测量地表反照率，而是来自一定方向的包括地面和大气在内的地球系统的辐射。需要对原始遥感数据进行一系列预处理、计算得到地表宽波段反照率。本数据集基于Landsat数据，主要通过辐射定标，大气校正、地形校正、BRDF校正以及窄-宽波段转换的方法，反演得到冰川消融期末表面反照率数据。", "ds_source": "
原始影像为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。DEM数据为ASTER GDEM V3数据，空间分辨率为30米，下载地址 https://lpdaac.usgs.gov/products/astgtmv003/。", "ds_process_way": "
其主要步骤包括：辐射定标，大气校正，地形校正，各向异性校正，窄-宽波段转换。\n
大气校正：本文采用FLAASH模型进行大气校正。进行FLAASH大气校正时需要输入的影像中心点坐标、传感器类型、飞行日期、影像分辨率等信息通过影像头文件获得，地面高程是根据DEM数据计算的冰面平均值，大气模式选择中纬度夏季标准大气模式。\n
地形校正：改进的一种C校正算法，在不进行线性拟合的情况下也可以达到良好的校正效果。\n
各向异性校正：引入各向异性校正因子来对反演反射率进行各向异性校正。\n
窄-宽波段转换：a=0.539a绿+0.166a近红*(1+a近红)。", "ds_quality": "
利用野外实测反照率数据对遥感反照率结果进行精度验证，数据比较准确，二者差异小于0.05。", "ds_acq_start_time": "2015-08-14 00:00:00", "ds_acq_end_time": "2025-09-02 00:00:00", "ds_acq_place": "天山托木尔峰地区", "ds_acq_lon_east": 80.5, "ds_acq_lat_south": 41.0, "ds_acq_lon_west": 79.5, "ds_acq_lat_north": 42.28333333333333, "ds_acq_alt_low": 2900.0, "ds_acq_alt_high": 7400.0, "ds_share_type": "apply-access", "ds_total_size": 2670872326, "ds_files_count": 5, "ds_format": "tif", "ds_space_res": "30", "ds_time_res": "", "ds_coordinate": "WGS84", "ds_projection": "UTM", "ds_thumbnail": "7b4656c5-8b2f-452a-8fdc-e8a1e1adebf5.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "76330c66-832b-46b3-b501-f5f6edb08dc2", "ds_serv_man": "敏玉芳", "ds_serv_phone": "09314967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170" ], "quality_level": 3, "publish_time": "2026-02-05 12:05:49", "last_updated": "2026-02-05 12:05:49", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.TIANSHAN.DB7110.2026", "license": null, "i18n": { "en": { "title": "Distribution map of glacier surface albedo at the end of melting period in the Tuomu'er Peak area of Tianshan Mountains (2015, 2025)", "ds_format": "tif", "ds_source": "
The original image is Landsat land satellite imagery data, sourced from the website of the United States Geological Survey（ https://www.usgs.gov/ ）Geospatial Data Cloud（ http://www.gscloud.cn/ ）Download. The DEM data is ASTER GDEM V3 data with a spatial resolution of 30 meters. Download link https://lpdaac.usgs.gov/products/astgtmv003/ .", "ds_quality": "
The accuracy of remote sensing albedo results was verified using field measured albedo data, and the data was relatively accurate with a difference of less than 0.05 between the two.", "ds_ref_way": "", "ds_abstract": "
Satellite remote sensing instruments cannot directly measure surface albedo, but rather radiation from the Earth system, including the ground and atmosphere, in a certain direction. It is necessary to perform a series of preprocessing and calculations on the raw remote sensing data to obtain the wideband albedo of the earth's surface. This dataset is based on Landsat data and mainly uses radiometric calibration, atmospheric correction, terrain correction, BRDF correction, and narrow wide band conversion methods to invert the surface albedo data at the end of glacier melting.", "ds_time_res": "", "ds_acq_place": "Tianshan Tuomu'er Peak area", "ds_space_res": "30", "ds_projection": "UTM", "ds_process_way": "
The main steps include radiometric calibration, atmospheric correction, terrain correction, anisotropy correction, and narrow wide band conversion.\n
Atmospheric correction: This article uses the FLAASH model for atmospheric correction. When performing FLAASH atmospheric correction, the center point coordinates, sensor type, flight date, image resolution, and other information that need to be input are obtained through the image header file. The ground elevation is the average ice surface value calculated based on DEM data, and the atmospheric mode is selected as the mid latitude summer standard atmospheric mode.\n
Terrain correction: an improved C-correction algorithm that can achieve good correction results without linear fitting.\n
Anisotropy correction: Introduce anisotropy correction factors to perform anisotropy correction on the inverted reflectance.\n
Narrow to wide band conversion: a=0.539a green+0.166a near red * (1+a near red).", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "ds_topic_tags": [ "天山", "冰川", "反照率" ], "ds_subject_tags": [ "地球科学" ], "ds_class_tags": [], "ds_locus_tags": [ "天山托木尔峰地区" ], "ds_time_tags": [ 2015, 2025 ], "ds_contributors": [ { "true_name": "岳晓英", "email": "yuexiaoying@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": "岳晓英", "email": "yuexiaoying@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": "岳晓英", "email": "yuexiaoying@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": "冰川" }