{
    "created": "2022-06-16 09:07:01",
    "updated": "2026-04-11 02:26:48",
    "id": "dc283cdf-c9bf-4175-8761-feb02ecbec1c",
    "version": 4,
    "ds_topic": null,
    "title_cn": "中巴经济走廊（喀什至伊斯兰堡段）Landsat OLI/TIRS遥感影像数据集（2013-2022年6月）",
    "title_en": "China-Pakistan Economic Corridor (Kashgar to Islamabad Section) Landsat OLI/TIRS Remote Sensing Image Dataset (June 2013-2022)",
    "ds_abstract": "<p>&emsp;&emsp;Landsat8是美国陆地卫星计划（Landsat）的第八颗卫星，于2013年2月11号在加利福尼亚范登堡空军基地由Atlas-V火箭搭载发射成功，最初称为“陆地卫星数据连续性任务”（Landsat Data Continuity Mission，LDCM）。Landsat8上携带陆地成像仪（Operational Land Imager ，OLI）和热红外传感器（Thermal Infrared Sensor，TIRS）。\n<p>&emsp;&emsp;Landsat9是美国陆地卫星计划（Landsat）的第九颗卫星，2021年9月27日，Landsat9从加利福尼亚范登堡太空部队基地成功发射。Landsat 9将每隔16天对地球进行一次成像，与Landsat8存在8天的偏移。\n<p>&emsp;&emsp;OLI陆地成像仪包括9个波段，空间分辨率为30米，其中包括一个15米的全色波段，成像宽幅为185x185km。热红外传感器TIRS包括2个单独的热红外波段，分辨率100米。 本数据集包含中巴经济走廊（喀什至伊斯兰堡段）Landsat OLI的C2-L1级数据产品,数据均来源于美国地质调查局网站。\n<p>&emsp;&emsp;该数据产品空间分辨率为30m，云量小于20%。",
    "ds_source": "<p>&emsp;&emsp;数据均来源于美国地质调查局网站（https://earthexplorer.usgs.gov/)。",
    "ds_process_way": "<p>&emsp;&emsp;L1级数据产品只是通过几何校正过的数据。相对于Collection1 Level1的数据，采用了新的地面控制点GCPS phase2，GCPS phase2融合的是landsat8和sentinel-2两者的控制点。Collection2 Level1数据提高了几何校正和辐射定标的精度。特别是几何校正的精度很大的改善。",
    "ds_quality": "<p>&emsp;&emsp;云量小于20%，数据质量良好。",
    "ds_acq_start_time": "2013-01-01 00:00:00",
    "ds_acq_end_time": "2022-06-01 00:00:00",
    "ds_acq_place": "中巴经济走廊（喀什至伊斯兰堡段）",
    "ds_acq_lon_east": 79.56416666666667,
    "ds_acq_lat_south": 31.241944444444446,
    "ds_acq_lon_west": 69.96138888888889,
    "ds_acq_lat_north": 41.41972222222222,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "open-access",
    "ds_total_size": 1753933107572,
    "ds_files_count": 1321,
    "ds_format": "tif",
    "ds_space_res": "30m",
    "ds_time_res": "",
    "ds_coordinate": "WGS84",
    "ds_projection": "UTM",
    "ds_thumbnail": "dc283cdf-c9bf-4175-8761-feb02ecbec1c.png",
    "ds_thumb_from": 0,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "",
    "ds_from_station": null,
    "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a",
    "ds_serv_man": "敏玉芳",
    "ds_serv_phone": "0931-4967596",
    "ds_serv_mail": "ncdc@lzb.ac.cn",
    "doi_value": "10.12072/ncdc.NIEER.db2350.2022",
    "subject_codes": [
        "170.45"
    ],
    "quality_level": 3,
    "publish_time": "2022-07-17 22:28:15",
    "last_updated": "2025-04-23 09:55:45",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.ncdc.NIEER.db2350.2022",
    "i18n": {
        "en": {
            "title": "China-Pakistan Economic Corridor (Kashgar to Islamabad Section) Landsat OLI/TIRS Remote Sensing Image Dataset (June 2013-2022)",
            "ds_format": "Raster",
            "ds_source": "<p>&emsp;All data were obtained from the official United States Geological Survey (USGS) EarthExplorer platform (https://earthexplorer.usgs.gov/).",
            "ds_quality": "<p>&emsp; The dataset contains only scenes with cloud cover below 20%, ensuring excellent data quality for analysis.",
            "ds_ref_way": "",
            "ds_abstract": "<p>  Landsat 8 is the eighth satellite in the U.S. Landsat Program, successfully launched aboard an Atlas-V rocket from Vandenberg Air Force Base, California on February 11, 2013. Originally designated as the Landsat Data Continuity Mission (LDCM), the satellite carries two primary instruments: the Operational Land Imager (OLI) and the Thermal Infrared Sensor (TIRS).\n<p>  Landsat 9 is the ninth satellite in the U.S. Landsat Program. On September 27, 2021, Landsat 9 was successfully launched from Vandenberg Space Force Base in California. The satellite will conduct Earth imaging every 16 days, operating with an 8-day temporal offset from Landsat 8 to enhance observational coverage.\n<p>  The Operational Land Imager (OLI) onboard the satellite acquires data in 9 spectral bands with a spatial resolution of 30 meters, including one 15-meter panchromatic band, and provides a swath width of 185×185 km. The Thermal Infrared Sensor (TIRS) collects data in 2 separate thermal infrared bands at 100-meter resolution.This dataset comprises Collection 2 Level-1 (C2-L1) data products from Landsat OLI covering the China-Pakistan Economic Corridor section between Kashgar and Islamabad. All data were obtained from the official United States Geological Survey (USGS) website.\n<p>  This dataset features a spatial resolution of 30 meters with cloud coverage limited to less than 20% per scene.</p></p></p></p>",
            "ds_time_res": "",
            "ds_acq_place": "China-Pakistan Economic Corridor (CPEC) - Kashgar to Islamabad Section",
            "ds_space_res": "30m",
            "ds_projection": "UTM",
            "ds_process_way": "<p>&emsp;The Level-1 (L1) data products have undergone geometric correction processing. Compared to Collection 1 Level-1 data, Collection 2 Level-1 incorporates next-generation ground control points (GCPs Phase 2), which integrate control points from both Landsat 8 and Sentinel-2 satellites. This next-generation Collection 2 Level-1 dataset demonstrates significant improvements in both geometric rectification and radiometric calibration accuracy, with particularly notable enhancements in geometric correction precision.",
            "ds_ref_instruction": ""
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 0,
    "license_type": "CC BY 4.0",
    "ds_topic_tags": [
        "遥感影像",
        "TIRS",
        "OLI",
        "Landsat8",
        "Landsat9"
    ],
    "ds_subject_tags": [
        "地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "中巴经济走廊（喀什至伊斯兰堡段）"
    ],
    "ds_time_tags": [
        2013,
        2014,
        2015,
        2016,
        2017,
        2018,
        2019,
        2020,
        2021,
        2022
    ],
    "ds_contributors": [
        {
            "true_name": "张耀南",
            "email": "yaonan@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": "李红星",
            "email": "lihongxing@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": "敏玉芳",
            "email": "myf@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": "遥感及产品"
}