本数据集基于Landsat8卫星热红外波段，采用多模型集成比较的方法，制备了中巴经济走廊地区2013年以来的高分辨率地表温度反演数据集，空间分辨率为30m，时间分辨率为16天。数据集按照年份共分为6个目录，在每个年份目录下按照月份划分为12个子目录，数据命名规则为： CPEC_LST_Xm_PPPRRR_YYYYMMDD.tif，其中X为分辨率，PPPRRR为WRS系统行列号，YYYYMMDD为年月日标识，例CPEC_LST_30m_152042_20170603.tif。
", "ds_source": "基础数据来源于美国USGS EarthExplorer (https://earthexplorer.usgs.gov/)官方网站，获取了自2013年到目前所有的Landsat 8 OLI/TIRS C1 Level-1数据产品.
", "ds_process_way": "基于Landsat8卫星热红外波段，采用多模型集成比较的方法
", "ds_quality": "数据抽样结果表明：所有样本的一致性指数均大于0.84，Kling-Gupta系数在0.72以上，此外，通过对比验证，本数据产品在空间分辨率上具有明显优势。
", "ds_acq_start_time": "2013-03-23 00:00:00", "ds_acq_end_time": "2018-05-01 00:00:00", "ds_acq_place": "中巴经济走廊区域", "ds_acq_lon_east": 41.916666666666664, "ds_acq_lat_south": 60.266666666666666, "ds_acq_lon_west": 23.75, "ds_acq_lat_north": 80.26666666666667, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 1284191002198, "ds_files_count": 5325, "ds_format": "GeoTIFF", "ds_space_res": "30.0m", "ds_time_res": "16天", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "d0dd0c4c-cdb6-4257-ae71-cf370aeea74f.jpg", "ds_thumb_from": 2, "ds_ref_way": "赵国辉，张耀南，康建芳.中巴经济走廊高空间分辨率地表温度反演数据集（2013-2018年），国家特殊环境、特殊功能 观测研究台站共享平台，2018，doi：10.12072/casnw.054.2018.db", "paper_ref_way": "", "ds_ref_instruction": "本数据集可通过国家特殊环境、特殊功能观测研究台站共享服务平台(http://www.crensed.ac.cn)申请下载，由于数据量比较大也可联系数据作者，访问中国科学院超级计算兰州分中心的计算与数据平台，进行在线数据下载、共享、分析、处理及应用。数据文件均为GeoTIFF格式，可通过GIS相关的软件如ENVI、GRASS、ArcGIS等，直接进行查看与应用。", "ds_from_station": null, "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a", "ds_serv_man": "赵国辉", "ds_serv_phone": "0931-4967594", "ds_serv_mail": "zhgh@lzb.ac.cn", "doi_value": "", "subject_codes": null, "quality_level": 3, "publish_time": "2020-12-21 13:37:40", "last_updated": "2023-05-16 17:35:39", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.nieer.2020.1325", "i18n": { "en": { "title": "High spatial resolution surface temperature inversion data set of China-Pakistan Economic Corridor from 2013-2018", "ds_format": "", "ds_source": "The basic data is from USGS earthexplorer in the United States（ https://earthexplorer.usgs.gov/ ）All Landsat 8 oli / tirs C1 level-1 data products from 2013 to now are available on the official website
", "ds_quality": "The data sampling results show that: the consistency index of all samples is greater than 0.84, and the Kling Gupta coefficient is above 0.72. In addition, through comparative verification, this data product has obvious advantages in spatial resolution.
", "ds_ref_way": "\nZhao Guohui, Zhang Yaonan, Kang Jianfang. High spatial resolution land surface temperature inversion data set of China-Pakistan Economic Corridor (2013-2018), national special environment and special function observation and research station sharing platform, 2018, DOI: 10.12072/casnw.054.2018.db", "ds_abstract": "Based on the thermal infrared band of Landsat 8 satellite, the high-resolution land surface temperature inversion data set of China-Pakistan Economic Corridor since 2013 has been prepared by using the method of multi model integration and comparison. The spatial resolution is 30m and the temporal resolution is 16 days. The data set is divided into 6 directories according to the year, and is divided into 12 subdirectories according to the month in each year directory. The data naming rule is CPEC_ LST_ Xm_ PPPRRR_ YYYYMMDD.tif Where x is the resolution, ppprrr is the row and column number of WRS system, and yyyymmdd is the identification of year, month and day, e.g. CPEC_ LST_ 30m_ 152042_ 20170603.tif。
", "ds_time_res": "16天", "ds_acq_place": "China-Pakistan Economic Corridor Region", "ds_space_res": "30.0m", "ds_projection": "", "ds_process_way": "Based on the thermal infrared band of Landsat 8 satellite, the method of multi model integration and comparison is adopted
", "ds_ref_instruction": "\nThis data set can share the service platform through the national special environment and special function observation and research stations（ http://www.crensed.ac.cn ）To apply for downloading, due to the large amount of data, you can also contact the data author to visit the computing and data platform of Lanzhou Branch Center of supercomputing of Chinese Academy of Sciences for online data download, sharing, analysis, processing and application. Data files are in GeoTIFF format, which can be viewed and applied directly through GIS related software such as envi, grass, ArcGIS, etc." } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC 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, "ds_topic_tags": [ "数据反演", "地表温度", "中巴经济走廊", "Landsat8" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "中国喀什", "中巴经济走廊区域", "巴基斯坦瓜达尔港" ], "ds_time_tags": [ 2013, 2014, 2015, 2016, 2017, 2018 ], "ds_contributors": [ { "true_name": "赵国辉", "email": "zhgh@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": "赵国辉", "email": "zhgh@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": "赵国辉", "email": "zhgh@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": "冻土" }