{
    "created": "2021-09-24 10:16:05",
    "updated": "2026-05-07 01:05:11",
    "id": "98477b3a-32ae-413f-8f48-d925d6927f2b",
    "version": 6,
    "ds_topic": null,
    "title_cn": "渭河流域MODIS_MOD11A2数据集（2000-2020年）",
    "title_en": "Weihe River Basin MODIS_MOD11A2 dataset (2000-2020)",
    "ds_abstract": "<p>&emsp;&emsp;地表温度（Land surface temperature, LST）是地球表面与大气之间界面的重要参量之一。它既是地表与大气能量交互作用的直接体现，又对于地气过程具有复杂的反馈作用。因此，地表温度不仅是气候变化的敏感指示因子和掌握气候变化规律的重要前提，还是众多模型的直接输入参数，在许多领域有广泛的应用，如气象气候、环境生态、水文等。伴随地学及相关领域研究的深入和精细化，学术界对卫星遥感的全天候地表温度（All-weather LST）具有迫切的需求。\n<p>&emsp;&emsp;本数据集包含数据产品为MOD11A2。以2000年-2020年MODIS的地表温度MOD11A2数据为数据源，数据分辨率为1KM，产品为8天合成，利用MRT工具，进行数据拼接、投影转换等影像处理，再利用渭河流域边界，采用Python批量裁剪，生成2000-2020年渭河流域MOD11A2数据产品。数据格式为tif。\n<p>&emsp;&emsp;利用以该数据可为渭河流域生态健康科学研究提供基础数据支持。",
    "ds_source": "<p>&emsp;&emsp;数据来源于NASA官网(https://ladsweb.modaps.eosdis.nasa.gov)。\n<p>&emsp;&emsp;涉及MOD11A2数据包括：h26v05、h27v05，数据分辩率为1KM，8天合成；渭河流域边界。",
    "ds_process_way": "<p>&emsp;&emsp;（1）利用MRT工具，进行数据拼接、投影转换等，输出像元大小0.008333333333度，投影坐标系为WGS84。\n<p>&emsp;&emsp;（2）利用渭河流域矢量边界，采用Python批量裁剪，生成渭河流域MOD11A2数据产品。",
    "ds_quality": "<p>&emsp;&emsp;与源数据质量相同；数据集内容包括：\n<p>&emsp;&emsp;LST_Day_1km: 8-Day daytime 1km grid land surface temperature\n<p>&emsp;&emsp;QC_Day: Quality control for daytime LST and emissivity\n<p>&emsp;&emsp;Day_view_time: Average time of daytime land surface temperature observation \n<p>&emsp;&emsp;Day_view_angle: Average view zenith angle of daytime land surface temperature\n<p>&emsp;&emsp;LST_Night_1km: 8-Day nighttime 1km grid landsurface temperature\n<p>&emsp;&emsp;QC_Night: Quality control for nighttime LST and emissivity \n<p>&emsp;&emsp;Night_view_time: Average time of nighttime land surface temperature observation\n</p>\n<p>&emsp;&emsp;Night_view_angle: Average view zenith angle of nighttime land surface temperature \n</p>\n<p>&emsp;&emsp;Emis_31: Band 31 Emissivity \n</p>\n<p>&emsp;&emsp;Emis_32: Band 32 Emissivity\n</p>\n<p>&emsp;&emsp;Clear_sky_days: the days in clear sky conditions and with valid LSTs\n</p>\n<p>&emsp;&emsp;Clear_sky_nights: the nights in clear sky conditions and with valid LSTs",
    "ds_acq_start_time": "2000-01-01 00:00:00",
    "ds_acq_end_time": "2020-12-31 00:00:00",
    "ds_acq_place": "渭河流域",
    "ds_acq_lon_east": 110.27444444444444,
    "ds_acq_lat_south": 33.69611111111111,
    "ds_acq_lon_west": 103.9713888888889,
    "ds_acq_lat_north": 37.40833333333333,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "login-access",
    "ds_total_size": 1035610556,
    "ds_files_count": 57480,
    "ds_format": "tif",
    "ds_space_res": "1000m",
    "ds_time_res": "8天",
    "ds_coordinate": "WGS84",
    "ds_projection": "",
    "ds_thumbnail": "98477b3a-32ae-413f-8f48-d925d6927f2b.png",
    "ds_thumb_from": 2,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "",
    "ds_from_station": null,
    "organization_id": "0d5fea4e-6fd7-4c70-b28b-3f91204c579a",
    "ds_serv_man": "敏玉芳",
    "ds_serv_phone": "0931-4967596",
    "ds_serv_mail": "ncdc@lzb.ac.cn",
    "doi_value": "",
    "subject_codes": [
        "170.4510"
    ],
    "quality_level": 3,
    "publish_time": "2021-10-13 11:37:50",
    "last_updated": "2025-05-29 17:28:36",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.ncdc.WRiver.2021.30",
    "i18n": {
        "en": {
            "title": "Weihe River Basin MODIS_MOD11A2 dataset (2000-2020)",
            "ds_format": "tif",
            "ds_source": "<p>&emsp; Data from NASA official website (https://ladsweb.modaps.eosdis.nasa.gov).\n<p>&emsp; Data involving MOD11A2 include: h26v05, h27v05, data resolution 1KM, 8-day compositing; Weihe River basin boundary.",
            "ds_quality": "<p>&emsp; Same quality as source data; dataset content includes:\n</p>\n<p>&emsp; LST_ Day_ 1km: 8-Day daytime 1km grid land surface temperature\n</p>\n<p>&emsp; QC_ Day: Quality control for daytime LST and emissivity\n</p>\n<p>&emsp; Day_ view_ time: Average time of daytime land surface temperature observation \n</p>\n<p>&emsp; Day_ view_ angle: Average view zenith angle of daytime land surface temperature\n</p>\n<p>&emsp; LST_ Night_ 1km: 8-Day nighttime 1km grid land  surface temperature\n</p>\n<p>&emsp; QC_ Night: Quality control for nighttime LST and emissivity \n</p>\n<p>&emsp; Night_ view_ time: Average time of nighttime land surface temperature observation\n</p>\n<p>&emsp; Night_ view_ angle: Average view zenith angle of nighttime land surface temperature \n</p>\n<p>&emsp; Emis_ 31: Band 31 Emissivity\n</p>\n<p>&emsp; Emis_ 32: Band 32 Emissivity\n</p>\n<p>&emsp; Clear_ sky_ days: the days in clear sky conditions and with valid LSTs\n</p>\n<p>&emsp; Clear_ sky_ nights: the nights in clear sky conditions and with valid LSTs",
            "ds_ref_way": "",
            "ds_abstract": "<p>  Land surface temperature (LST) is one of the important parameters at the interface between the Earth's surface and the atmosphere. It is not only a direct reflection of the energy interaction between the earth's surface and the atmosphere, but also has a complex feedback effect on the earth's air processes. Therefore, surface temperature is not only a sensitive indicator of climate change and an important prerequisite for mastering the pattern of climate change, but also a direct input parameter for many models, which has a wide range of applications in many fields, such as meteorology, climate, environmental ecology, hydrology and so on. Along with the deepening and refinement of the research in geosciences and related fields, there is an urgent demand for all-weather surface temperature (All-weather LST) from satellite remote sensing in the academic community.\n<p>  This dataset contains the data product MOD11A2.The surface temperature MOD11A2 data of MODIS from 2000 to 2020 is used as the data source, with the data resolution of 1KM, and the product is synthesized for 8 days.Using the MRT tool, we carry out the image processing such as data splicing, projection conversion, etc., and then using the boundary of the Wei-He River Basin, we adopt the Python batch cropping to generate the 2000-2020 Weihe River Basin MOD11A2 data products. The data format is tif.\n<p>  Using this data can provide basic data support for the scientific research on the ecological health of the Weihe River Basin.</p></p></p>",
            "ds_time_res": "8天",
            "ds_acq_place": "Weihe River Basin",
            "ds_space_res": "1000m",
            "ds_projection": "",
            "ds_process_way": "<p>&emsp; (1) Utilizing MRT tool, data splicing, projection transformation, etc., the output image element size is 0.00833333333333 degrees, and the projection coordinate system is WGS84.\n<p>&emsp; (2) Using the Weihe River Basin vector boundary, Python batch cropping was used to generate the Weihe River Basin MOD11A2 data product.",
            "ds_ref_instruction": ""
        }
    },
    "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": [
        "地表温度",
        "全天候",
        "航天遥感",
        "热红外遥感"
    ],
    "ds_subject_tags": [
        "自然地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "渭河流域"
    ],
    "ds_time_tags": [
        2000,
        2001,
        2002,
        2003,
        2004,
        2005,
        2006,
        2007,
        2008,
        2009,
        2010,
        2011,
        2012,
        2013,
        2014,
        2015,
        2016,
        2017,
        2018,
        2019,
        2020
    ],
    "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"
}