植被的净初级生产力（NPP，Net Primary Productivity）是陆地植被通过光合作用固定太阳能，在单位时间内单位面积所获得生物量的净增加量。NPP作为陆地生态系统碳循环的一个重要组成成分，其对于控制大气中CO₂浓度的上升有着举足轻重的作用。它是植物自身生物学特性与外界环境相互适应的结果，不仅是异养生物生存的物质和能量基础，同时也是生物地球化学循环的关键环节，是评价生态结构功能稳定性的重要指标之一。由于光合作用直接影响植被的NPP，而归一化植被指数（Normalized Difference Vegetation Index,NDVI）又可以较为精准地反映植被的绿度和光合作用的强度，因此在区域和全球生态系统模型中，NDVI常被直接或间接地用于计算植被NPP。", "ds_source": "
该数据集的数据源为MOD17A3HGF.v006 版本数据，涉及分幅影像网格为h25v04，h25v05，h26v05，空间分辩率为500 m，时间分辨率为1年，数据格式为hdf。", "ds_process_way": "
原始产品，未经处理。", "ds_quality": "
数据质量良好。\n
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": "2022-12-31 00:00:00", "ds_acq_place": "甘肃省", "ds_acq_lon_east": 108.7075, "ds_acq_lat_south": 32.596111111111114, "ds_acq_lon_west": 92.33777777777777, "ds_acq_lat_north": 42.79333333333333, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 617769870, "ds_files_count": 70, "ds_format": "hdf", "ds_space_res": "500m", "ds_time_res": "1年", "ds_coordinate": "无", "ds_projection": "/", "ds_thumbnail": "918cf2b9-589a-48fe-acc8-87510cdd21fb.jpg", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "526ff655-4cd4-4650-bb86-6fd3481dfb65", "ds_serv_man": "敏玉芳", "ds_serv_phone": "09314967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.45" ], "quality_level": 3, "publish_time": "2023-12-27 09:23:53", "last_updated": "2025-05-29 16:22:21", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.GSEER.DB4148.2023", "i18n": { "en": { "title": "MOD17A3HGF Net Primary Productivity NPP Data in Gansu Province (2000-2022)", "ds_format": "hdf", "ds_source": "
The data source of this dataset is MOD17A3HGF.v006 version data, involving segmented image grids of h25v04, h25v05, and h26v05, with a spatial resolution of 500 meters, a time resolution of 1 year, and a data format of hdf.", "ds_quality": "
The data quality is good.\n
NPP data unit is kgC/m ²/ Year, effective range -30000-32700, scaling factor 0.0001, filling value range 32761-32767, where: 32761 is unclassified land type, 32762 is urban built-up area, 32763 is permanent wetland or submerged swamp land, 32764 is perennial snow or ice covered area, 32765 is barren and sparse area (such as rocks, tundra, and desert), 32766 is inland freshwater covered area, and 32767 is filling value for other situations.", "ds_ref_way": "", "ds_abstract": "
Net Primary Productivity (NPP) of vegetation is the net increase in biomass per unit area per unit time obtained by terrestrial vegetation through photosynthesis to fix solar energy. NPP, as an important component of carbon cycling in terrestrial ecosystems, plays a crucial role in controlling the increase of CO ₂ concentration in the atmosphere. It is the result of the mutual adaptation between the biological characteristics of plants and the external environment. It is not only the material and energy basis for the survival of heterotrophic organisms, but also a key link in the biogeochemical cycle. It is one of the important indicators for evaluating the stability of ecological structure and function. Due to the direct impact of photosynthesis on vegetation's NPP, the Normalized Difference Vegetation Index (NDVI) can accurately reflect the greenness of vegetation and the intensity of photosynthesis. Therefore, in regional and global ecosystem models, NDVI is often directly or indirectly used to calculate vegetation NPP.
", "ds_time_res": "1年", "ds_acq_place": "Gansu Province", "ds_space_res": "500m", "ds_projection": "/", "ds_process_way": "Original product, untreated.", "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": [ "甘肃省", "地表温度" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "甘肃省" ], "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, 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" }