本幅2020年青藏高原多年冻土分布图，以遥感冻结/融化指数为驱动，以及前期制作的2010年冻土分布图为参考数据。考虑到缺乏同期高质量区域调查图，采用了“时间换空间”策略，结合随机森林模型，估算一个经验土壤参数；结合遥感冻结/融化指数与估算的经验土壤参数，基于扩展冻结数模型估算2020年青藏高原冻土分布。结果显示，2020年青藏高原多年冻土面积为103.8万平方公里，约占青藏高原总面积的39.55%；季节性冻土面积约为146.6万平方公里，约占高原总面积的55.57%。此分布图与钻孔数据为验证目标，总体精度为0.84，kappa系数为0.58。与同期冻土分布图相比，精度显著优于其他冻土分布图。", "ds_source": "", "ds_process_way": "", "ds_quality": "", "ds_acq_start_time": "2020-01-01 00:00:00", "ds_acq_end_time": "2020-12-31 00:00:00", "ds_acq_place": "青藏高原", "ds_acq_lon_east": 104.43, "ds_acq_lat_south": 26.0, "ds_acq_lon_west": 73.41000000000001, "ds_acq_lat_north": 39.82, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "open-access", "ds_total_size": 148455, "ds_files_count": 0, "ds_format": "*.tif", "ds_space_res": "1km", "ds_time_res": "年", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "ea9c5cf4-751c-4d16-a73f-aef170ef83e4.png", "ds_thumb_from": 0, "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": [ "170.40", "170.4510" ], "quality_level": 0, "publish_time": "2026-09-28 17:46:19", "last_updated": "2026-09-28 18:01:32", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.permalab.db7813.2026", "i18n": { "en": { "title": "A 2020 permafrost distribution map of the Qinghai-Tibet Plateau", "ds_format": "*.tif", "ds_source": "", "ds_quality": "", "ds_ref_way": "", "ds_abstract": "
This 2020 permafrost distribution map of the Qinghai-Tibet Plateau is driven by the remote sensing freezing/melting index, and the 2010 permafrost distribution map produced in the previous stage serves as reference data. Considering the lack of high-quality regional survey maps for the same period, a \"time-for-space\" strategy was adopted, combined with a random forest model to estimate an empirical soil parameter; combined with the remote sensing freezing/melting index and the estimated empirical soil parameters, the 2020 Permafrost distribution on the Qinghai-Tibet Plateau was estimated based on the extended freezing number model. The results show that in 2020, the permafrost area of the Qinghai-Tibet Plateau was 1.038 million square kilometers, accounting for about 39.55% of the total area of the Qinghai-Tibet Plateau; the seasonal permafrost area was about 1.466 million square kilometers, accounting for about 55.57% of the total area of the plateau. This distribution map and borehole data are the verification targets, with an overall accuracy of 0.84 and a kappa coefficient of 0.58. Compared with the frozen soil distribution maps of the same period, the accuracy is significantly better than other frozen soil distribution maps.", "ds_time_res": "years", "ds_acq_place": "Qinghai-Tibet Plateau", "ds_space_res": "1km", "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, "allow_update_data": false, "created_from": "uc", "ds_topic_tags": [ "多年冻土分布", "随机森林", "冻结数模型" ], "ds_subject_tags": [ "地图学", "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "青藏高原" ], "ds_time_tags": [ 2020 ], "ds_contributors": [ { "true_name": "陈玉红", "email": "chenyuhong@buaa.edu.cn", "work_for": "北京航空航天大学", "country": "中国" }, { "true_name": "南卓铜", "email": "nanzt@shnu.edu.cn", "work_for": "上海师范大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "陈玉红", "email": "chenyuhong@buaa.edu.cn", "work_for": "北京航空航天大学", "country": "中国" } ], "ds_managers": [ { "true_name": "南卓铜", "email": "nanzt@shnu.edu.cn", "work_for": "上海师范大学", "country": "中国" } ], "category": "冻土" }