MCD12Q1土地覆盖数据集中包含了11个主要土地覆盖类型，根据国际地圈生物圈计划（IGBP），其中包括7个自然植被类型，3个土地开发和镶嵌的地类和1个非草木土地类型。\nIGBP的全球植被分类方案数据类型最为丰富，因此采用第一个数据集分类方案(LC_Type1)的数据。数据类型是8位无符号整型，有效值范围为1-17,255是填充值。\n
\n利用MRT工具及Python语言代码，进行批量拼接、投影转换、裁剪等处理，生成2001-2020年泾河流域 MCD12Q1土地利用类型数据。本数据集空间分辨率为500米，时间分辨率为年。
", "ds_source": "数据来源于nasa官网（https://ladsweb.modaps.eosdis.nasa.gov/search/）\n
\n该数据集为MCD12Q1数据，涉及分幅影像网格为h26v05，空间分辨率为500米，按年合成。", "ds_process_way": "
运行MRT工具，将数据格式由hdf格式转化为tif格式，输出投影为Albers投影,空间分辨率为500米；\n
\n利用ArcGIS软件，以泾河流域边界为掩膜提取范围，掩膜提取MCD12Q1数据;\n
\n输出泾河流域MODIS MCD12Q1数据的TIFF格式。
", "ds_quality": "该数据集数据质量良好。", "ds_acq_start_time": "2001-01-01 00:00:00", "ds_acq_end_time": "2020-12-31 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": 921263, "ds_files_count": 122, "ds_format": "栅格", "ds_space_res": "500米", "ds_time_res": "年", "ds_coordinate": "WGS84", "ds_projection": "Albers投影", "ds_thumbnail": "de9b481a-4e9b-4d97-ab23-f88b853471fe.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.db1975.2022", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2022-04-08 08:51:51", "last_updated": "2025-06-30 15:52:31", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.JRiver.db1975.2022", "i18n": { "en": { "title": "MODIS mcd12q1 land use (lc500m) data set of Jinghe River Basin (2001-2020)", "ds_format": "raster data", "ds_source": "
Data from NASA official website（ https://ladsweb.modaps.eosdis.nasa.gov/search/ ）\n
\nThe data set is mcd12q1 data, involving framing images, with grid h26v05 and spatial resolution of 500m, synthesized annually.", "ds_quality": "
The data quality of this dataset is consistent with that of mcd12q1.", "ds_ref_way": "", "ds_abstract": "
Mcd12q1 land cover data set contains 11 main land cover types, including 7 natural vegetation types, 3 land development and mosaic land types and 1 non vegetation land type according to the international geosphere biosphere program (IGBP).\nIGBP's global vegetation classification scheme has the most abundant data types, so the data of the first dataset classification scheme (lc_type1) is adopted. The data type is an 8-bit unsigned integer, and the valid value range is 1-17255. It is a filling value.\n
\nUsing MRT tool and python language code, batch splicing, projection conversion, cutting and other processing are carried out to generate mcd12q1 land use type data of Jinghe River Basin from 2001 to 2020. The spatial resolution of this data set is 500 meters and the temporal resolution is years
", "ds_time_res": "年", "ds_acq_place": "Jinghe River Basin", "ds_space_res": "500米", "ds_projection": "Albers", "ds_process_way": "Run the MRT tool to convert the data format from HDF format to TIFF format, and output the projection as Albers projection with a spatial resolution of 500 meters;\n
\nUsing ArcGIS software, the boundary of the Jinghe River Basin was used as a mask to extract MCD12Q1 data;\n
\nOutput MODIS MCD12Q1 data in TIFF format for the Jinghe River Basin.
", "ds_ref_instruction": "When using the data, users should clearly state the source of the data in the text and quote the reference method provided by this metadata in the References section." } }, "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": [ "泾河流域", "土地利用" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "泾河流域" ], "ds_time_tags": [ 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" }