基于MOD17A3HGF.006数据集，将覆盖祁连山地区的分幅影像，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2000-2019年祁连山地区MODIS MOD17A3HGF NPP数据。本数据集空间分辨率为500 m，时间分辨率为1年。
", "ds_source": "本数据集的数据源为MOD17A3HGF.v006 版本数据，涉及分幅影像网格为h25v04、h25v04和h26v05，空间分辩率为500 m，时间分辨率为1年。
", "ds_process_way": "（1）试运行MRT工具，生成MOD17A3HGF NPP数据拼接和投影转换的prm文件，输出投影为albers投影（25, 47, 105, WGS_1984, False_Easting: 4000000）。\n（2）利用MATLAB 语言程序生成调用MRT工具的批处理文件，并运行；\n（3）利用祁连山地矢量边界，采用Python批量裁剪等步骤，最后采用GeoTIFF格式输出保存。
", "ds_quality": "本数据集与源数据集MODIS MOD17A3HGF.v006质量一致。NPP数据单位为kgC/m²/year，有效范围﹣30000—32700，放缩因子为0.0001，填充值范围32761—32767，其中：32761为未分类土地类型，32762为城镇建成区，32763为永久湿地或淹没的沼泽地，32764为常年积雪或覆盖冰的区域，32765为贫瘠稀疏的地区（如岩石、苔原和沙漠），32766为内陆淡水等覆盖区，32767为其他情况填充值。
", "ds_acq_start_time": "2000-01-01 00:00:00", "ds_acq_end_time": "2019-12-31 00:00:00", "ds_acq_place": "祁连山地区", "ds_acq_lon_east": 103.9, "ds_acq_lat_south": 35.830000000000005, "ds_acq_lon_west": 93.5, "ds_acq_lat_north": 39.980000000000004, "ds_acq_alt_low": 1040.0, "ds_acq_alt_high": 5993.0, "ds_share_type": "login-access", "ds_total_size": 31367098, "ds_files_count": 3, "ds_format": "栅格/GeoTIFF", "ds_space_res": "500 m", "ds_time_res": "1年", "ds_coordinate": "WGS84", "ds_projection": "Albers", "ds_thumbnail": "1a2d8b39-0fd9-46c1-821e-32aa8b5caf42.jpg", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "本数据由“中国科学院西北生态环境资源研究院甘肃省祁连山生态环境研究中心”制作，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": "8fa8eec3-a891-44cd-b60e-f6af19a16bba", "ds_serv_man": "张成琦", "ds_serv_phone": "0931-4967575", "ds_serv_mail": "chengqizhang@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2020-11-30 15:43:34", "last_updated": "2025-06-30 16:26:11", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.qlsst.2020.18", "i18n": { "en": { "title": "MODIS MOD17A3HGF Net Primary Productivity (NPP) Dataset of Qilian Mountains Region (2000-2019)", "ds_format": "Raster/GeoTIFF", "ds_source": "The data source of this dataset is MOD17A3HGF.v006 version data, involving segmented image grids of h25v04, h25v04, and h26v05, with a spatial resolution of 500 m and a temporal resolution of 1 year.
", "ds_quality": "This dataset has the same quality as the source dataset MODIS MOD17A3HGF.v006. The unit of NPP data is kgC/m ²/year, with an effective range of -30000 to 32700, a scaling factor of 0.0001, and a filling value range of 32761 to 32767. Among them, 32761 is an unclassified land type, 32762 is an urban built-up area, 32763 is a permanent wetland or submerged swamp, 32764 is an area covered with snow or ice all year round, 32765 is a barren and sparse area (such as rocks, tundra, and deserts), 32766 is an inland freshwater coverage area, and 32767 is a filling value for other situations.
", "ds_ref_way": "", "ds_abstract": "Based on the MOD17A3HGF.006 dataset, the segmented images covering the Qilian Mountains region were processed using MRT tools and Python language code for batch stitching, projection conversion, cropping, etc., to generate MODIS MOD17A3HGF NPP data for the Qilian Mountains region from 2000 to 2019. The spatial resolution of this dataset is 500 meters, and the temporal resolution is 1 year.
", "ds_time_res": "1年", "ds_acq_place": "Qilian Mountains region", "ds_space_res": "500 m", "ds_projection": "Albers", "ds_process_way": "(1) Trial run the MRT tool to generate prm files for MOD17A3HGF NPP data concatenation and projection conversion, and output the projection as albers projection (25, 47, 105, WGS1984, False'Esting: 4000000).\n(2) Generate a batch file using MATLAB language program to call the MRT tool and run it;\n(3) Utilize the vector boundary of Qilian Mountains, use Python batch cropping and other steps, and finally output and save in GeoTIFF format.
", "ds_ref_instruction": "\r\nThis data is produced by \"Gansu Qilian Mountain Ecological Environment Research Center of Northwest Institute of Ecological Environment and Resources, Chinese Academy of Sciences\". 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 reference section." } }, "submit_center_id": "ncdc", "data_level": 0, "recommendation_value": 0, "license_type": "https://creativecommons.org/licenses/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, "belong_to_nieer": false, "ds_topic_tags": [ "祁连山", "生态遥感", "MOD17A3HGF", "NPP", "MODIS" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "祁连山地区" ], "ds_time_tags": [ 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019 ], "ds_contributors": [ { "true_name": "张举涛", "email": "jutzhang@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "张成琦", "email": "chengqizhang@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "冯起", "email": "qifeng@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": "张举涛", "email": "jutzhang@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": "张成琦", "email": "chengqizhang@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" }