本研究提供了对应于 13 个 AWS 的质量控制黑天空反照率 （BSA） 和白色天空反照率 （WSA）。2013 年至 2014 年黑河流域的 ASP、ASN、ACO、DSL、EBO、HZS、HCG、JYL、DMS、BJT、SSW、ZYS 和 HZZ）。\n
MCD43A3（V006）是应用最广泛的地表反照率产品。该产品采用半经验线性核驱动的双向反射率分布函数模型，在任何太阳辐照和卫星观测条件下都能获取双向反射率。然后对观测半球的双向反射率进行积分，即可得到黑天反照率（BSA）；对入射半球和出射半球的双向反射率进行两次积分，即可得到白天反照率（WSA）。本文使用的 MCD43A3 空间分辨率为 500 米，时间分辨率为每日。它提供了当地太阳正午 1-7 波段的 BSA 和 WSA，以及可见光（300-700 纳米）、近红外（700-3000 纳米）和短波（3000-5000 纳米）波段的三个宽波段反照率。本文采用短波反照率，因为其光谱范围与基于原位的反照率相当[1]。我们提取了 2013 年至 2014 年 13 个 AWS 对应的质控 BSA 和 WSA。由于原位测量提供的是蓝天反照率，因此 MCD43A3 的 BSA 和 WSA 使用天空漫射光比进行线性组合。", "ds_source": "
本研究描述了使用基于自动气象站（AWS）的地面测残测量来验证中国黑河流域异质景观上的MCD43A3和耐反照率产品。由于地面观测反照率的足迹远小于反照率产品的空间分辨率，因此使用高分辨率反照率影像作为放大桥来缩小尺度差异。基于该方案，我们提出了MODIS和GLASS精度评估的结果。验证结果表明，MODIS和GLASS在大面积和一整年的测量中均方根小于0.05。", "ds_process_way": "
对RF、CDF和KF三种纠错模型的性能进行了评价，因为它们具有广泛的适用性。为了实现这一点，70%的数据（即匹配MCD43A3、像素尺度地面“真值”和辅助数据）被用于训练纠错模型，该模型被定义为训练数据集。其余30%的数据用于验证纠错模型，定义为验证数据集。", "ds_quality": "
数据质量良好。", "ds_acq_start_time": "2013-01-01 00:00:00", "ds_acq_end_time": "2014-12-31 00:00:00", "ds_acq_place": "黑河流域", "ds_acq_lon_east": 101.11999999999999, "ds_acq_lat_south": 37.84, "ds_acq_lon_west": 98.94, "ds_acq_lat_north": 38.980000000000004, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 545255, "ds_files_count": 2, "ds_format": "CSV", "ds_space_res": null, "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "e9205daa-f1eb-4a62-93ab-ac14a9fc7486.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "0a4269e1-65f4-45f1-aeba-88ea3068eebf", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.45" ], "quality_level": 3, "publish_time": "2024-05-09 09:27:59", "last_updated": "2025-06-30 16:19:19", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.ZENODO.DB6461.2024", "i18n": { "en": { "title": "MCD43A3 albedo over Heihe River Basin", "ds_format": "CSV", "ds_source": "
This study describes the use of ground residual measurements based on automatic weather stations (AWS) to validate MCD43A3 and albedo tolerance products on heterogeneous landscapes in the Heihe River Basin, China. Due to the fact that the footprint of ground observation albedo is much smaller than the spatial resolution of albedo products, high-resolution albedo images are used as amplification bridges to reduce scale differences. Based on this scheme, we propose the results of MODIS and GLASS accuracy evaluation. The verification results indicate that the root mean square of MODIS and GLASS measurements over a large area and a whole year is less than 0.05.", "ds_quality": "
The data quality is good.", "ds_ref_way": "", "ds_abstract": "
This study provides quality control black sky albedo (BSA) and white sky albedo (WSA) corresponding to 13 AWS. ASP, ASN, ACO, DSL, EBO, HZS, HCG, JYL, DMS, BJT, SSW, ZYS, and HZZ in the Heihe River Basin from 2013 to 2014.\n
MCD43A3 (V006) is the most widely used surface albedo product. This product adopts a semi empirical linear kernel driven bidirectional reflectance distribution function model, which can obtain bidirectional reflectance under any solar irradiation and satellite observation conditions. Then, by integrating the bidirectional reflectance of the observed hemisphere, the black sky albedo (BSA) can be obtained; By integrating the bidirectional reflectance of the incident hemisphere and the outgoing hemisphere twice, the daytime albedo (WSA) can be obtained. The MCD43A3 used in this article has a spatial resolution of 500 meters and a temporal resolution of daily. It provides BSA and WSA in the local solar noon 1-7 band, as well as three wideband albedo in the visible light (300-700 nanometers), near-infrared (700-3000 nanometers), and shortwave (3000-5000 nanometers) bands. This article uses shortwave albedo because its spectral range is comparable to in-situ based albedo [1]. We extracted the quality control BSA and WSA corresponding to 13 AWS from 2013 to 2014. Due to the fact that in-situ measurements provide blue sky albedo, the BSA and WSA of MCD43A3 are linearly combined using the sky diffuse light ratio.
", "ds_time_res": "", "ds_acq_place": "Heihe River Basin", "ds_space_res": "", "ds_projection": "", "ds_process_way": "The performance of three error correction models, RF, CDF, and KF, was evaluated due to their wide applicability. To achieve this, 70% of the data (i.e. matching MCD43A3, pixel scale ground truth, and auxiliary data) is used to train an error correction model, which is defined as the training dataset. The remaining 30% of the data is used to validate the error correction model, defined as the validation dataset.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "doi_reg_from": "reg_outside", "cstr_reg_from": "reg_outside", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "ds_topic_tags": [ "累积分布函数", "卡尔曼滤波", "MCD43A3", "随机森林" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "黑河流域", "MCD43A3", "反照率" ], "ds_time_tags": [ 2013, 2014 ], "ds_contributors": [ { "true_name": "吴小丹", "email": "wuxd@lzu.edu.cn", "work_for": "兰州大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "吴小丹", "email": "wuxd@lzu.edu.cn", "work_for": "兰州大学", "country": "中国" } ], "ds_managers": [ { "true_name": "吴小丹", "email": "wuxd@lzu.edu.cn", "work_for": "兰州大学", "country": "中国" } ], "category": "其他" }