本数据来源于NASA官网，数据集包含的数据产品为MOD11A2。以2000年-2021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，进行投影转换等影像处理。再利用泾河流域边界，采用Python批量裁剪，生成2000-2021年泾河流域MOD11A2数据产品。数据格式为tif。
", "ds_source": "数据来源于NASA官网(https://ladsweb.modaps.eosdis.nasa.gov)，\n
\n涉及MOD11A2数据条带为h26v05。
", "ds_process_way": "（1）利用MRT工具，进行投影转换等影像处理，输出像元大小0.008333333333度，投影坐标系为WGS84；\n
\n（2）利用泾河流域矢量边界，采用Python批量裁剪，生成泾河流域MOD11A2数据产品。
", "ds_quality": "与源数据质量相同；数据集内容包括：\n\n
\nLST_Day_1km: 8-Day daytime 1km grid land surface temperature\n\n
\nQC_Day: Quality control for daytime LST and emissivity\n\n
\nDay_view_time: Average time of daytime land surface temperature observation\n\n
\nDay_view_angle: Average view zenith angle of daytime land surface temperature\n\n
\nLST_Night_1km: 8-Day nighttime 1km grid landsurface temperature\n\n
\nQC_Night: Quality control for nighttime LST and emissivity\n\n
\nNight_view_time: Average time of nighttime land surface temperature observation\n\n
\nNight_view_angle: Average view zenith angle of nighttime land surface temperature\n\n
\nEmis_31: Band 31 Emissivity\n\n
\nEmis_32: Band 32 Emissivity\n\n
\nClear_sky_days: the days in clear sky conditions and with valid LSTs\n\n
\nClear_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": "2021-12-31 00:00:00", "ds_acq_place": "泾河流域", "ds_acq_lon_east": 108.86583333333333, "ds_acq_lat_south": 34.65, "ds_acq_lon_west": 106.19166666666668, "ds_acq_lat_north": 37.39888888888889, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 646833083, "ds_files_count": 72289, "ds_format": "栅格", "ds_space_res": "1000米", "ds_time_res": "8天", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "1cbd58df-45a2-4c3e-af12-a3d4b7d8fa0e.jpg", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "用户在使用数据时请在正文中明确声明数据的来源，并在参考文献部分引用本元数据提供的引用方式。", "ds_from_station": null, "organization_id": "bf1ae243-c102-4b2d-a2f6-b698468f4401", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "10.12072/ncdc.JRiver.db1972.2022", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2022-04-08 08:42:46", "last_updated": "2025-06-30 15:52:30", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.JRiver.db1972.2022", "i18n": { "en": { "title": "MODIS in Jinghe River Basin_ Mod11a2 dataset (2000-2021)", "ds_format": "Raster", "ds_source": "The data is sourced from NASA's official website（ https://ladsweb.modaps.eosdis.nasa.gov ）,\n
\nThe MOD11A2 data strip involved is h26v05
", "ds_quality": "Same quality as the source data; The dataset content includes:\n
\nLST_ Day_ 1km: 8-Day day time 1km grid land surface temperature\n
\nQC_ Day: Quality control for daytime LST and emissivity\n
\nDay_ View_ Time: Average time of day time land surface temperature observation\n
\nDay_ View_ Angle: Average view zenith angle of daytime land surface temperature\n
\nLST_ Night_ 1km: 8-Day nighttime 1km grid landsurface temperature\n
\nQC_ Night: Quality control for nighttime LST and emissivity\n
\nNight_ View_ Time: Average time of nighttime land surface temperature observation\n
\nNight_ View_ Angle: Average view zenith angle of nighttime land surface temperature\n
\nEmis_ 31: Band 31 Emission\n
\nEmis_ 32: Band 32 Emission\n
\nClear_ Sky_ Days: the days in clear sky conditions and with valid LSTs\n
\nClear_ Sky_ Nights: the nights in clear sky conditions and with valid LSTs
", "ds_ref_way": "", "ds_abstract": "This data is sourced from NASA's official website, and the dataset includes data product MOD11A2. Using MODIS surface temperature MOD11A2 data from 2000 to 2021 as the data source. The data resolution is 1KM, and the product is synthesized in 8 days using MRT tools for image processing such as projection conversion. Reuse the boundary of the Jinghe River Basin and use Python batch cropping to generate MOD11A2 data products for the Jinghe River Basin from 2000 to 2021. The data format is tif.
", "ds_time_res": "8天", "ds_acq_place": "Jinghe River Basin", "ds_space_res": "1000米", "ds_projection": "", "ds_process_way": "(1) Using MRT tool for image processing such as projection conversion, output pixel size 0.008333333333 degrees, and projection coordinate system WGS84;\n
\n(2) Utilizing the vector boundaries of the Jinghe River Basin and using Python batch cropping, generate the Jinghe 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": [ "泾河流域" ], "ds_time_tags": [ 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021 ], "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" }