针对“一带一路”地区现有积雪反照率遥感产品精度较差，且数据时空不连续等问题，基于解析渐近辐射传输模型，构建了一套“一带一路”地区的积雪反照率数据自动生产算法，并基于MODIS数据形成了一套时间序列连续且精度较高的一带一路地区积雪反照率数据产品。
", "ds_source": "地表反射率MOD09GA/ VNP09GA来源于https://doi.org/10.5067/MODIS/MOD09GA.061\nhttps://doi.org/10.5067/VIIRS/VNP09GA.001
", "ds_process_way": "产品的制备主要包括几大部分：影像质量控制、地形校正、纯雪像元提取以及积雪反照率制备。质量控制中首先要保证输入卫星反射率的数据质量，剔除异常值；然后对卫星有效反射率进行地形校正，采用余弦/C/SCS校正方案；采用ART模型制备“一带一路”沿线积雪反照率产品。
", "ds_quality": "数据质量较好。", "ds_acq_start_time": "2000-01-01 00:00:00", "ds_acq_end_time": "2024-12-31 00:00:00", "ds_acq_place": "“一带一路”地区", "ds_acq_lon_east": 180.0, "ds_acq_lat_south": 23.0, "ds_acq_lon_west": 180.0, "ds_acq_lat_north": 63.0, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 13513268016313, "ds_files_count": 3700, "ds_format": "*.tif", "ds_space_res": "500m", "ds_time_res": "日", "ds_coordinate": "WGS84", "ds_projection": "WGS_1984_Albers", "ds_thumbnail": "283e1aee-1e04-4632-b4ad-bd4de55d6b6e.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "9de89acc-5714-4927-aba3-ac88067dff8a", "ds_serv_man": "李红星", "ds_serv_phone": "0931-4967592", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "10.12072/ncdc.nieer.db6492.2024", "subject_codes": [ "170.45" ], "quality_level": 3, "publish_time": "2024-06-14 09:16:57", "last_updated": "2026-05-20 15:35:04", "protected": true, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.NIEER.DB6492.2024", "i18n": { "en": { "title": "Daily data product of snow albedo along the the Belt and Road (2000-2024)", "ds_format": "*.tif", "ds_source": "
Surface reflectance MOD09GA/VNP09GA comes from https://doi.org/10.5067/MODIS/MOD09GA.061\r\nhttps://doi.org/10.5067/VIIRS/VNP09GA.001
", "ds_quality": "The data quality is good.", "ds_ref_way": "", "ds_abstract": "
Aiming at the problems of poor precision of existing snow albedo remote sensing products in the \"the Belt and Road\" area and discontinuous spatio-temporal data, based on the analytical asymptotic radiative transfer model, an automatic production algorithm for snow albedo data in the \"the Belt and Road\" area was constructed, and a set of snow albedo data products with continuous time series and high precision in the the Belt and Road area was formed based on MODIS data.
", "ds_time_res": "", "ds_acq_place": "\"The Belt and Road\" region", "ds_space_res": "", "ds_projection": "", "ds_process_way": "The preparation of the product mainly includes several parts: image quality control, terrain correction, pure snow pixel extraction, and snow albedo preparation. In quality control, the first step is to ensure the quality of input satellite reflectance data and eliminate outliers; Then perform terrain correction on the effective reflectivity of the satellite using cosine/C/SCS correction scheme; The ART model is used to prepare snow albedo products along the \"the Belt and Road\".
", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "recommendation_value": 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, "belong_to_nieer": false, "ds_topic_tags": [ "一带一路", "积雪", "反照率" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "“一带一路”地区" ], "ds_time_tags": [ 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 ], "ds_contributors": [ { "true_name": "纪文政", "email": "jiwenzheng@nieer.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": "赵琴", "email": "", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "郝晓华", "email": "haoxh@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": "纪文政", "email": "jiwenzheng@nieer.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": "纪文政", "email": "jiwenzheng@nieer.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "category": "积雪" }