本数据集面向北极多年冻土低地热融相关湖塘可见水面的监督语义分割。数据覆盖阿拉斯加、加拿大西北部、欧洲俄罗斯、亚马尔和西伯利亚的23个选定研究区，来源为2023年夏季Sentinel-2 L2A地表反射率中值合成影像。每个样本由五波段影像、二值水面标签和QA掩膜组成，分析网格分辨率为10 m，切片大小为256×256像素。数据集包含5513组影像、标签和QA文件，其中训练集3982组、验证集739组、测试集792组。正类像元占全部像元的8.07%，像元计数等效面积约2914.2 km²。监督目标为夏季合成影像中的可见湖泊和池塘水面，热融相关性及河流、海岸水体风险以独立的切片级地貌解释字段记录。数据包提供固定数据划分、地理留出划分、质量复核样本、困难负样本、时序来源和采样偏差统计、处理配置、基线结果及SHA256校验信息，可用于模型训练、区域迁移测试、误差分析和可复现算法比较。", "ds_source": "", "ds_process_way": "", "ds_quality": "", "ds_acq_start_time": "2023-01-01 00:00:00", "ds_acq_end_time": "2023-12-31 00:00:00", "ds_acq_place": "阿拉斯加、加拿大西北部、欧洲俄罗斯、亚马尔和西伯利亚", "ds_acq_lon_east": 161.75, "ds_acq_lat_south": 65.0, "ds_acq_lon_west": -162.5, "ds_acq_lat_north": 72.55, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 5242437720, "ds_files_count": 0, "ds_format": "*tif,*csv,*json", "ds_space_res": "10m", "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "af618102-22ef-4618-b1a8-66d55a360fd9.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "None", "ds_from_station": null, "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a", "ds_serv_man": null, "ds_serv_phone": null, "ds_serv_mail": null, "doi_value": "", "subject_codes": [ "170" ], "quality_level": 0, "publish_time": "2026-07-20 16:06:25", "last_updated": "2026-07-20 16:06:25", "protected": false, "protected_to": "2027-01-16 00:00:00", "lang": "zh", "cstr": "11738.11.ncdc.permafrost.db7645.2026", "i18n": { "en": { "title": "10 m Sentinel-2 Semantic Segmentation Dataset for Thermokarst-Associated Lake and Pond Water Surfaces in Arctic Permafrost Lowlands", "ds_format": "", "ds_source": "", "ds_quality": "", "ds_ref_way": "", "ds_abstract": "
This dataset supports supervised semantic segmentation of visible lake and pond water surfaces in thermokarst-affected Arctic permafrost lowlands. It covers 23 selected study areas across Alaska, northwestern Canada, European Russia, Yamal, and Siberia and is derived from summer 2023 Sentinel-2 L2A surface-reflectance median composites. Each sample contains a five-band image, a binary water-surface label, and a QA mask on a 10 m analysis grid with a tile size of 256 by 256 pixels. The dataset contains 5513 image-label-QA triplets, including 3982 training, 739 validation, and 792 test samples. Positive pixels account for 8.07 % of all pixels and correspond to a pixel-count-equivalent area of approximately 2914.2 km². The supervised target is visible summer lake and pond water, while thermokarst relevance and river, channel, or coastal-water risk are recorded separately as tile-level geomorphic interpretation fields. The package provides fixed benchmark splits, geographic holdout definitions, quality-review samples, a hard-negative subset, temporal-source and sampling-bias summaries, processing configurations, baseline results, and SHA256 checksums. It supports model training, geographic-transfer testing, error analysis, and reproducible algorithm comparison.", "ds_time_res": "", "ds_acq_place": "", "ds_space_res": "", "ds_projection": "", "ds_process_way": "", "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": [ "多年冻土", "热融湖塘", "语义分割" ], "ds_subject_tags": [ "地球科学" ], "ds_class_tags": [], "ds_locus_tags": [ "阿拉斯加", "加拿大北部", "欧洲", "俄罗斯", "亚马尔", "西伯利亚" ], "ds_time_tags": [ 2023 ], "ds_contributors": [ { "true_name": "张泽", "email": "zez@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "郭子优", "email": "ziyouguo19@gmail.com", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "闫庆凯", "email": "yanqingkai@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "翟金榜", "email": "jinbangzhai@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "Leonid Gagarin ", "email": "gagarinleo@yandex.ru", "work_for": "Melnikov Permafrost Institute", "country": "中国" }, { "true_name": "Nikolai Torgovkin", "email": "nick1805torg@gmail.com", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "Andrei Zhang", "email": "zhang0993@yandex.ru", "work_for": "东北林业大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "张泽", "email": "zez@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "郭子优", "email": "ziyouguo19@gmail.com", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "闫庆凯", "email": "yanqingkai@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "翟金榜", "email": "jinbangzhai@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "Leonid Gagarin ", "email": "gagarinleo@yandex.ru", "work_for": "Melnikov Permafrost Institute", "country": "中国" }, { "true_name": "Nikolai Torgovkin", "email": "nick1805torg@gmail.com", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "Andrei Zhang", "email": "zhang0993@yandex.ru", "work_for": "东北林业大学", "country": "中国" } ], "ds_managers": [ { "true_name": "张泽", "email": "zez@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" } ], "category": "冻土" }