N: 90 S: -90 E: 180 W: -180
Description
The MOD17A3HGF Version 6.1 product provides information about annual Gross and Net Primary Production (GPP and NPP) at 500 meter (m) pixel resolution. Annual Terra Moderate Resolution Imaging Spectroradiometer (MODIS) GPP and NPP is derived from the sum of all 8-day GPP Net Photosynthesis (PSN) products (MOD17A2H) from the given year. The PSN value is the difference of the GPP and the Maintenance Respiration (MR).
The MOD17A3HGF will be generated at the end of each year when the entire yearly 8-day MOD15A2H is available. Hence, the gap-filled MOD17A3HGF is the improved MOD17, which has cleaned the poor-quality inputs from 8-day Leaf Area Index and Fraction of Photosynthetically Active Radiation (LAI/FPAR) based on the Quality Control (QC) label for every pixel. If any LAI/FPAR pixel did not meet the quality screening criteria, its value is determined through linear interpolation. However, users cannot get MOD17A3HGF in near-real time because it will be generated only at the end of a given year.
Known Issues
- Operational and uncertainty issues are provided under Section 2 in the User Guide.
- For complete information about known issues please refer to the MODIS/VIIRS Land Quality Assessment website.
Version Description
Product Summary
Citation
Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.
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File Naming Convention
The file name begins with the Product Short Name (MOD17A3HGF) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2024001), the Tile Identifier which is horizontal tile and vertical tile provided as hXXvYY (h17v10), the Version of the data collection (061), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2025011052834), and the Data Format (hdf).
Documents
USER'S GUIDE
ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)
PRODUCT QUALITY ASSESSMENT
SCIENCE DATA PRODUCT VALIDATION
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| A study on the impact of human activities on the ecosystem health of Three-River-source national park | Zhang, Feng, Chen, Yan, Xue, Huaju, Zhang, Jinhe, Wang, Yanqin, Li, Aiqing, Wang, Xiaofen | Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY | |
| A Priority conservation strategy based on a multi-scale perspective of ecosystem services: a case study of the taihang mountains, china | Guo, Linghui, Xu, Muchao, Zhang, Yang, Yan, Jingjing, Gao, Jiangbo, Zhang, Hebing, Zou, Youfeng, Hu, Yang | Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY | |
| A near-global dataset of dissolved organic carbon concentrations and yields in forested headwater streams | Liu, Dong, Chang, Ruiying, Tang, Haiping | Autotrophic Respiration (ra), Heterotrophic Respiration (rh), Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY | |
| A machine learning-based wildfire susceptibility mapping framework for | Yan, Kaida, Zhao, Fengjun, Shu, Lifu, Liu, Yongqiang, Wang, Mingyu, Si, Liqing, Li, Weike, Li, Xiaoxiao, Zhang, Shiyuan, Li, Siwei, Wang, Jinglu | Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps | |
| Ai-driven spatiotemporal modelling of agricultural biomass residues in | Shi, Zhan, Marinello, Francesco, Pezzuolo, Andrea | Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY | |
| Constructing an ecological security pattern for waterfront areas from the perspective of water culture conservation: a case study of the J section of the Beijing ... | Yang, Haiyan, He, Sheng | Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY | |
| Assessment of the Socio-Natural Development of Ukraine Oblasts in the Conditions of Modern Challenges | Yelistratova, Lesya, Apostolov, Alexander, Bakhonsky, Oleksandr, Kuzminska, Galina, Tymchyshyn, Maksym, Khodorovskyi, Artur | Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY | |
| Effects of aridity on soil dissolved organic matter in abandoned grasslands of the central Loess Plateau | Mo, Shuaihao, Zou, Wenjing, Wang, Ying, Li, Kangying, He, Yanxing, Cai, Wenzhuo, Du, Xuan, Jian, Jinshi | Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY | |
| Ecological Vulnerability Assessment in Hubei Province, China: PressureStateResponse (PSR) Modeling and Driving Factor Analysis from 2000 to 2023 | Sun, Yaqin, Yang, Jinzhong, Wang, Hao, Bu, Fan, Wang, Ruiliang | Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY | |
| Ecosystem health responses to tourism activities in the Qinghai-Tibet Plateau: Nonlinear relationships and mechanism | Xu, Linlin, Yu, Hu, Zhong, Linsheng | Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY | |
| Driving mechanisms of vegetation carbon sink distribution based on explainable machine learning and evaluation of carbon sequestration in open-pit mines | Geng, Yulong, Guo, Weihua, Li, Quanzhi, Zhang, Fan, zhong, Anya, Hu, Zhenqi | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), RADAR IMAGERY, Terrain Elevation, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM), Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY | |
| Divergent Responses of Ecosystem Water and Carbon Use Efficiency to | Wang, Yue, Gao, Guangyao, Huang, Yanzhang, Fu, Bojie | Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Global patterns and controls of terrestrial above-and belowground | Wang, Shuai, Wang, Yingping, Zhang, Lu, Cheng, Lei, Zou, Kaijie, Zhou, Lihao, Wang, Yafei, Ye, Linyuan, Wu, Yue, Chang, Liwei, Qin, Shujing, Liu, Pan | Biomass Dynamics, Primary Production, Biomass, Photosynthesis, VEGETATION PRODUCTIVITY, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar) | |
| Global impacts of transportation infrastructure on forest degradation and loss | Zhou, Decheng, Xiao, Jingfeng, Liu, Shuguang, Huang, Lin, Zhang, Liangxia, Fan, Jiangwen, Zhao, Shuqing | Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY | |
| Mapping critical thresholds and dynamic drivers of net primary productivity response to shrub encroachment in Xilin Gol grasslands using multi-source remote ... | Wang, Xi, Lyu, Xiaoqing, Liu, Jianhong, Zhu, Wenquan, Jia, Ruolan, Wang, Ziqi, Wang, Jing, Li, Wei, Liu, Nan, He, Yanfen | Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Improving predictions of soil heterotrophic respiration: A parameter-optimized microbial model for alpine meadows in the three-river source region, Qinghai-Tibet plateau | Lu, Yongkang, Yu, Sheng, Xiang, Mingxue, Zheng, Kai, Ma, Tao, Wang, Zhaoqi | Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY | |
| Organo-aluminum complexation as a dominant metal control on soil carbon storage in Andisols: Global evidence across pedogenic and pH gradients | Kida, Morimaru, Nagano, Hirohiko, Shimada, Hiroaki, Fukumasu, Jumpei, Wagai, Rota | Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY | |
| Microbial growth rate is a stronger predictor of soil organic carbon than carbon use efficiency | He, Xianjin, Marmasse, Gaelle, Hu, Junxi, Varney, Rebecca M., Manzoni, Stefano, Ciais, Philippe, Wang, Ying-Ping, Cui, Yongxing, Bai, Edith, Abramoff, Rose Z., Abs, Elsa, Schwarz, Erik, Zhang, Haicheng, Goll, Daniel S. | Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY | |
| Rapid Loss of Terrestrial Ecosystem Multifunctionality in China on a Century Scale | He, Wen, Sun, Jian, Di, Baofeng, Penuelas, Josep | Biomass, Forests, Grasslands, Alpine/Tundra, Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY | |
| Quantitative analysis of landscape patterns and ecosystem services at multiple scales in hilly areas of Southern China | Zhu, Pengfei, Qiu, Yue, Molla, Abiot, Su, Ying, Wu, Zhifeng, Zuo, Shudi, Ren, Yin | Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY | |
| Quantifying the nonlinear effects of urban morphological features on | Huang, Yong, Wang, Zhong, Zhao, Heng, You, Di, Wang, Wei, Peng, Yanran | Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY | |
| Quantifying the spatiotemporal dynamics of net primary productivity | Li, Hongyuan, Xu, Jingru, Ning, Chuanchuan, Yu, Xia | Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY | |
| Regulatory mechanisms of spatiotemporal variations in aboveground and belowground net primary production in global terrestrial ecosystems | Zhou, Tao, Xiong, Yanting, Yang, Zhihan, Hou, Yuting, Zhang, Yuqing, Liao, Dan, Wang, Xiaodong, Xu, Dinghui, Li, Pingfeng, Hou, Peng, Zhao, Wenji, Chen, Guo, Laffitte, Benjamin, Tang, Xiaolu | Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY | |
| Responses of grassland ecosystem temporal stability to biotic and abiotic drivers in arid and semi-arid regions of China | Han, Yunxiang, Zhang, Huayong, Zhao, Bingjian, Luo, Xi, Zhang, Xiao | Plant Phenology, Enhanced Vegetation Index (EVI), Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar) | |
| Modeling net primary productivity in a Cretaceous terrestrial ecosystem: a probabilistic approach | Taylor, Ian Alexander, Lupia, Richard, Hodges, Caitlin | Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY |
Variables
The table below lists the variables contained within a single granule for this dataset. Variables often contain observed or derived geophysical measurements collected from a variety of sources, including remote sensing instruments on satellite and airborne platforms, field campaigns, in situ measurements, and model outputs. The terms variable, parameter, scientific data set, layer, and band have been used across NASA’s Earth science disciplines; however, variable is the designated nomenclature in NASA’s Common Metadata Repository (CMR). Variable metadata attributes such as Name, Description, Units, Data Type, Fill Value, Valid Range, and Scale Factor allow users to efficiently process and analyze the data. The full range of attributes may not be applicable to all variables. Additional information on variable attributes is typically available in the data, user guide, and/or other product documentation.
For questions on a specific variable, please use the Earthdata Forum.
| Name Sort descending | Description | Units | Data Type | Fill Value | Valid Range | Scale Factor | Offset |
|---|---|---|---|---|---|---|---|
| Gpp_500m | Gross Primary Productivity | kgC/m²/year | uint16 | 65529 | 0 to 65500 | 0.0001 | N/A |
| Npp_500m | Net Primary Productivity | kgC/m²/year | int16 | 32761 | -30000 to 32700 | 0.0001 | N/A |
| Npp_QC_500m | Quality Control | Percent | uint8 | 249 | 0 to 100 | N/A | N/A |