N: 90 S: -90 E: 180 W: -180
Description
The VNP22Q2 Version 1 data product was decommissioned on July 31, 2025. Users are encouraged to use the VNP22Q2 Version 2 data product.
The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Land Cover Dynamics data product provides global land surface phenology (GLSP) metrics at yearly intervals. The VNP22Q2 data product is derived from time series of the two-band Enhanced Vegetation Index (EVI2) calculated from VIIRS Nadir Bidirectional Reflectance Distribution Function (BRDF)-Adjusted Reflectance (NBAR). Vegetation phenology metrics at 500 meter spatial resolution are identified for up to two detected growing cycles per year.
Provided in each VNP22Q2 product are 19 Science Dataset (SDS) layers. The product contains six phenological transition dates: onset of greenness increase, onset of greenness maximum, onset of greenness decrease, onset of greenness minimum, dates of mid-greenup, and senescence phases. The product also includes the growing season length. The greenness related metrics consist of EVI2 onset of greenness increase, EVI2 onset of greenness maximum, EVI2 growing season, rate of greenness increase and rate of greenness decrease. The confidence of phenology detection is provided as greenness agreement growing season, proportion of good quality (PGQ) growing season, PGQ onset greenness increase, PGQ onset greenness maximum, PGQ onset greenness decrease, and PGQ onset greenness minimum. The final layer is quality control specifying the overall quality of the product. A low-resolution browse image showing greenup is also available when viewing each VNP22Q2 granule.
Important information is provided in Sections 5 of the User Guide when comparing VNP22Q2 with the MCD12Q2 data product.
Known Issues
- For complete information about known issues please refer to the MODIS/VIIRS Land Quality Assessment website.
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 (VNP22Q2) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2022001), the Tile Identifier which is horizontal tile and vertical tile provided as hXXvYY (h09v08), the Version of the data collection (001), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2023234075817), and the Data Format (h5).
Documents
USER'S GUIDE
ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)
PRODUCT QUALITY ASSESSMENT
Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| Phenophase-specific climate impacts and legacy effects govern autumn | Li, Yizhuo, Zhang, Yuan, Wang, Anzhi | Land Use/Land Cover Classification, Reflectance, Enhanced Vegetation Index (EVI) | |
| deadtrees.earth An open-access and interactive database for centimeter-scale aerial imagery to uncover global tree mortality dynamics | Mosig, Clemens, Vajna-Jehle, Janusch, Mahecha, Miguel D., Cheng, Yan, Hartmann, Henrik, Montero, David, Junttila, Samuli, Horion, Stephanie, Schwenke, Mirela Beloiu, Koontz, Michael J., Maulud, Khairul Nizam Abdul, Adu-Bredu, Stephen, Al-Halbouni, Djamil, Ali, Muhammad, Allen, Matthew, Altman, Jan, Amoros, Lot, Angiolini, Claudia, Astrup, Rasmus, Awada, Hassan, Barrasso, Caterina, Bartholomeus, Harm, Beck, Pieter S.A., Bozzini, Aurora, Braun-Wimmer, Joshua, Brede, Benjamin, Breunig, Fabio Marcelo, Brugnaro, Stefano, Buras, Allan, Burchard-Levine, Vicente, Camarero, Jesus Julio, Candotti, Anna, Capuder, Luka, Carrieri, Erik, Centritto, Mauro, Chirici, Gherardo, Cloutier, Myriam, Conciani, Dhemerson, Cushman, KC, Dalling, James W., Dao, Phuong D., Dempewolf, Jan, Denter, Martin, Dogotari, Marcel, Diaz-Delgado, Ricardo, Ecke, Simon, Eichel, Jana, Eltner, Anette, Fabbri, Andre, Fabi, Maximilian, Fassnacht, Fabian, Ferreira, Matheus Pinheiro, Fischer, Fabian Jorg, Frey, Julian, Frick, Annett, Fuentes, Jose, Ganz, Selina, Garbarino, Matteo, Garcia, Milton, Gassilloud, Matthias, Gazol, Antonio, Gea-Izquierdo, Guillermo, Gerberding, Kilian, Ghasemi, Marziye, Giannetti, Francesca, Gillan, Jeffrey, Gonzalez, Roy, Gosper, Carl, Greene, Terry, Greinwald, Konrad, Grieve, Stuart, Groe-Stoltenberg, Andre, Gutierrez, Jesus Aguirre, Goritz, Anna, Hajek, Peter, Hedding, David, Hempel, Jan, Heremans, Stien, Hernandez, Melvin, Heurich, Marco, Honkavaara, Eija, Hofle, Bernhard, Jackisch, Robert, Jucker, Tommaso, Kalwij, Jesse M., Kepfer-Rojas, Sebastian, Khatri-Chhetri, Pratima, Kleinebecker, Till, Klemmt, Hans-Joachim, Kloucek, Tomas, Koivumaki, Niko, Kolagani, Nagesh, Komarek, Jan, Korznikov, Kirill, Kraszewski, Bartomiej, Kruse, Stefan, Kruger, Robert, Kuechly, Helga, Kwong, Ivan H.Y., Laliberte, Etienne, Langan, Liam, Latifi, Hooman, Leal-Medina, Claudia, Lehmann, Jan R.K., Li, Linyuan, Lines, Emily, Lisiewicz, Maciej, Lopatin, Javier, Lucieer, Arko, Ludwig, Antonia, Ludwig, Marvin, Lyytikainen-Saarenmaa, Paivi, Ma, Qin, Mansuy, Nicolas, Pena, Jose Manuel, Marino, Giovanni, Maroschek, Michael, Martin, M.Pilar, Martin-Benito, Dario, Matham, Pavan, Mazzoni, Sabrina, Meloni, Fabio, Menzel, Annette, Meyer, Hanna, Miraki, Mojdeh, Moreno, Gerardo, Moreno-Fernandez, Daniel, Muller-Landau, Helene C., Malicke, Mirko, Mohring, Jakobus, Mullerova, Jana, Naidu, Setti Sridhara, Nardi, Davide, Neumeier, Paul, Nita, Mihai Daniel, Nasi, Roope, Oppgenoorth, Lars, Orunbaev, Sagynbek, Palmer, Melanie, Paul, Thomas, Pfenning, Mattis, Potts, Alastair, Prasanna, Gudala Laxmi, Prober, Suzanne, Puliti, Stefano, Perez-Luque, Antonio J., Perez-Priego, Oscar, Reudenbach, Chris, Revuelto, Jesus, Rivas-Torres, Gonzalo, Roberge, Philippe, Roggero, Pier Paolo, Rossi, Christian, Ruehr, Nadine Katrin, Ruiz-Benito, Paloma, Runge, Christian Mestre, Satta, Gabriele Giuseppe Antonio, Scanu, Bruno, Scherer-Lorenzen, Michael, Schiefer, Felix, Schiller, Christopher, Schladebach, Jacob, Schmehl, Marie-Therese, Schmid, Jonathan, Schmidt, Tristan Alexander, Schwarz, Selina, Seidl, Rupert, Seifert, Thomas, Barba, Ana Seifert, Shafeian, Elham, Shapiro, Aurelie, de Simone, Leopoldo, Sohrabi, Hormoz, Soltani, Salim, Sotomayor, Laura, Sparrow, Ben, Steer, Benjamin S.C., Stenson, Matt, Stockigt, Benjamin, Su, Yanjun, Suomalainen, Juha, Tamudo, Elisa, Barbieri, Mauro J. Tognetti, Tomelleri, Enrico, Torresani, Michele, Trepekli, Katerina, Ullah, Saif, Ullah, Sami, Umlauft, Josefine, Vargas-Ramirez, Nicolas, Vatandaslar, Can, Visacki, Vladimir, Volpi, Michele, Vasquez, Vicente, Wallis, Christine, Weinstein, Ben, Weiser, Hannah, Wich, Serge, Ximena, Tagle Casapia, Zarco-Tejada, Pablo J., Zdunic, Katherine, Zielewska-Buttner, Katarzyna, de Oliveira, Raquel Alves, van Wagtendonk, Liz, von Dosky, Vincent, Kattenborn, Teja | Reflectance, Enhanced Vegetation Index (EVI) | |
| Development of an enhanced hybrid piecewise logistic model for | Ye, Yongchang, Zhang, Xiaoyang, Wang, Jianmin, Tran, Khuong H., Liu, Yuxia, Shen, Yu, Gao, Shuai, An, Shuai | Land Use/Land Cover Classification, Reflectance, Enhanced Vegetation Index (EVI), Anisotropy, Albedo, Plant Phenology, Ecosystems, Food Security, Conservation, Sustainability, Climate Adaptation | |
| Remote Sensing-Based Phenology of Dryland Vegetation: Contributions and | Dutra, Andeise Cerqueira, Srivastava, Ankur, Ganem, Khalil Ali, Arai, Egidio, Huete, Alfredo, Shimabukuro, Yosio Edemir | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Reflectance, Land Use/Land Cover Classification, Plant Phenology, Plant Phenological Changes, Vegetation Index | |
| Soil Erosion Factors in the European Russia Macroregion: Modeling, Geoinformation Mapping, and Spatial Analysis | Yermolaev, O. P., Mukharamova, S. S., Maltsev, K. A., Polyakova, A. R., Saveliev, A. A. | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Reflectance | |
| Impacts of Spatial and Temporal Resolution on Remotely Sensed Corn and | Gao, Feng, Anderson, Martha, Houborg, Rasmus | Land Use/Land Cover Classification, Reflectance, Enhanced Vegetation Index (EVI), Maximum/Minimum Temperature, 24 Hour Precipitation Amount, Snow Water Equivalent, Shortwave Radiation, Vapor Pressure | |
| Estimation of Soil Moisture Thresholds for Aggravation of Global | Yan, Heng, Xie, Zhenghui, Jia, Binghao, Qin, Peihua, Zhang, Xia, Dai, Qiudan, Xie, Jinbo, Wang, Longhuan, Li, Ruichao, Tian, Yuhang, You, Yanbin | Reflectance, Enhanced Vegetation Index (EVI) | |
| DETECCAO DE MUDANCAS NO USO E OCUPACAO DO SOLO NO ESTADO DO AMAZONAS BASEADA NAS CLASSIFICACOES DO PROJETO MAPBIOMAS | Vasconcelos, Brychtn Ribeiro de, Vieira Lima, Mirelle Taina, Conceicao Paranhos Filho, Antonio | Land Use/Land Cover Classification, Plant Phenology, Enhanced Vegetation Index (EVI), Reflectance | |
| Institutions and Global Crop Yields | Wuepper, David, Wang, Haoyu, Schlenker, Wolfram, Jain, Meha, Finger, Robert | Evapotranspiration, Latent Heat Flux, Reflectance, Enhanced Vegetation Index (EVI) | |
| Effect of climate warming on the timing of autumn leaf senescence reverses after the summer solstice | Zohner, Constantin M., Mirzagholi, Leila, Renner, Susanne S., Mo, Lidong, Rebindaine, Dominic, Bucher, Raymo, Palous, Daniel, Vitasse, Yann, Fu, Yongshuo H., Stocker, Benjamin D., Crowther, Thomas W. | Land Use/Land Cover Classification, Plant Phenology, Enhanced Vegetation Index (EVI), Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY, Reflectance | |
| Ecosystems threatened by intensified drought with divergent vulnerability | Chen, Qi, Timmermans, Joris, Wen, Wen, van Bodegom, Peter M. | Evapotranspiration, Latent Heat Flux, Reflectance, Enhanced Vegetation Index (EVI) | |
| Tree canopy extent and height change in Europe, 20012021, quantified using Landsat data archive | Turubanova, Svetlana, Potapov, Peter, Hansen, Matthew C., Li, Xinyuan, Tyukavina, Alexandra, Pickens, Amy H., Hernandez-Serna, Andres, Arranz, Adrian Pascual, Guerra-Hernandez, Juan, Senf, Cornelius, Hame, Tuomas, Valbuena, Ruben, Eklundh, Lars, Brovkina, Olga, Navratilova, Barbora, Novotny, Jan, Harris, Nancy, Stolle, Fred | Plant Phenology, Canopy Characteristics, Vegetation Cover, Lidar, Topography, VEGETATION HEIGHT, Reflectance, Enhanced Vegetation Index (EVI) | |
| Exploring discrepancies between in situ phenology and remotely derived | Donnelly, Alison, Yu, Rong, Jones, Katherine, Belitz, Michael, Li, Bonan, Duffy, Katharyn, Zhang, Xiaoyang, Wang, Jianmin, Seyednasrollah, Bijan, Gerst, Katherine L., Li, Daijiang, Kaddoura, Youssef, Zhu, Kai, Morisette, Jeffrey, Ramey, Colette, Smith, Kathleen | Plant Phenology, Enhanced Vegetation Index (EVI), Plant Characteristics, Vegetation Cover, Vegetation Index, Reflectance | |
| An optimal method for validating satellite-derived land surface phenology using in-situ observations from national phenology networks | Ye, Yongchang, Zhang, Xiaoyang, Shen, Yu, Wang, Jianmin, Crimmins, Theresa, Scheifinger, Helfried | Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Land Use/Land Cover Classification, Reflectance, Enhanced Vegetation Index (EVI) | |
| Investigation of land surface phenology detections in shrublands using multiple scale satellite data | Peng, Dailiang, Wang, Yan, Xian, George, Huete, Alfredo R., Huang, Wenjiang, Shen, Miaogen, Wang, Fumin, Yu, Le, Liu, Liangyun, Xie, Qiaoyun, Liu, Lingling, Zhang, Xiaoyang | Reflectance, Anisotropy, Albedo, Plant Phenology, Enhanced Vegetation Index (EVI) | |
| Mapping Crop Phenology in Near Real-Time Using Satellite Remote Sensing: Challenges and Opportunities | Gao, Feng, Zhang, Xiaoyang | Reflectance, Enhanced Vegetation Index (EVI) | |
| Monitoring key forest structure attributes across the conterminous united states by integrating gedi lidar measurements and VIIRS data | Rishmawi, Khaldoun, Huang, Chengquan, Zhan, Xiwu | Plant Phenology, Canopy Characteristics, Vegetation Cover, Lidar, Topography, VEGETATION HEIGHT, Digital Elevation/Terrain Model (DEM), VIEWING GEOMETRY, Terrain Elevation, Reflectance, Enhanced Vegetation Index (EVI) | |
| National-scale cropland mapping based on phenological metrics, environmental covariates, and machine learning on Google Earth Engine | Htitiou, Abdelaziz, Boudhar, Abdelghani, Chehbouni, Abdelghani, Benabdelouahab, Tarik | Plant Phenology, Enhanced Vegetation Index (EVI), Reflectance | |
| Exploration of global spatiotemporal changes of fall foliage coloration in deciduous forests and shrubs using the VIIRS land surface phenology product | Ye, Yongchang, Zhang, Xiaoyang | Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Land Use/Land Cover Classification, Reflectance, Enhanced Vegetation Index (EVI) | |
| Improving the accuracy of spring phenology detection by optimally smoothing satellite vegetation index time series based on local cloud frequency | Tian, Jiaqi, Zhu, Xiaolin, Chen, Jin, Wang, Cong, Shen, Miaogen, Yang, Wei, Tan, Xiaoyue, Xu, Shuai, Li, Zhilin | Reflectance, Anisotropy, Plant Phenology, Enhanced Vegetation Index (EVI), Emissivity, Land Surface Temperature | |
| Urbanization imprint on land surface phenology: The urban-rural gradient | Jia, Wenxiao, Zhao, Shuqing, Zhang, Xiaoyang, Liu, Shuguang, Henebry, Geoffrey M., Liu, Lingling | Land Surface Temperature, Emissivity, Reflectance, Enhanced Vegetation Index (EVI) | |
| Development of global land surface phenology product from time series of VIIRS observations | Zhang, Xiaoyang, Wang, Jianmin, Ye, Yongchang | Reflectance, Enhanced Vegetation Index (EVI) | |
| Development and evaluation of a new algorithm for detecting 30 m land surface phenology from VIIRS and HLS time series | Zhang, Xiaoyang, Wang, Jianmin, Henebry, Geoffrey M., Gao, Feng | Plant Phenology, Enhanced Vegetation Index (EVI), Reflectance |
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 |
|---|---|---|---|---|---|---|---|
| Date_Mid_Greenup_Phase | Date at a mid-greenup phase | Day | uint16 | 32767 | 1 to 32766 | N/A | N/A |
| Date_Mid_Senescence_Phase | Date at a mid-senescence phase | Day | uint16 | 32767 | 1 to 32766 | N/A | N/A |
| EVI2_Growing_Season_Area | Integrated EVI2 during a growing season | EVI2 | uint16 | 32767 | 1 to 32766 | 0.01 | N/A |
| EVI2_Onset_Greenness_Increase | EVI2 value at greenup onset | EVI2 | uint16 | 32767 | 1 to 10000 | 0.0001 | N/A |
| EVI2_Onset_Greenness_Maximum | EVI2 value at maturity onset | EVI2 | uint16 | 32767 | 1 to 10000 | 0.0001 | N/A |
| GLSP_QC | Global Land Surface Phenology Quality Control | N/A | uint8 | 255 | 1 to 100 | N/A | N/A |
| Greenness_Agreement_Growing_Season | EVI2 agreement between modeled values and raw observations | N/A | uint8 | 255 | 1 to 100 | N/A | N/A |
| Growing_Season_Length | Growing Season Length | Number | uint16 | 32767 | 1 to 366 | N/A | N/A |
| Onset_Greenness_Decrease | Date at which canopy greenness begins to decrease | Day | uint16 | 32767 | 1 to 32766 | N/A | N/A |
| Onset_Greenness_Increase | Date of onset of greenness increase | Day | uint16 | 32767 | 1 to 32766 | N/A | N/A |
| Onset_Greenness_Maximum | Date at which canopy greenness approaches its seasonal maximum | Day | uint16 | 32766 | 1 to 32766 | N/A | N/A |
| Onset_Greenness_Minimum | Date at which canopy greenness reaches a minimum | Day | uint16 | 32766 | 1 to 32766 | N/A | N/A |
| PGQ_Growing_Season | Proportion of good quality of VIIRS observations during a vegetation growing season | N/A | uint8 | 255 | 1 to 100 | N/A | N/A |
| PGQ_Onset_Greenness_Decrease | Proportion of good quality around senescence onset | N/A | uint8 | 255 | 1 to 100 | N/A | N/A |
| PGQ_Onset_Greenness_Increase | Proportion of good quality around greenup onset | N/A | uint8 | 255 | 1 to 100 | N/A | N/A |
| PGQ_Onset_Greenness_Maximum | Proportion of good quality around maturity onset | N/A | uint8 | 255 | 1 to 100 | N/A | N/A |
| PGQ_Onset_Greenness_Minimum | Proportion of good quality around dormancy onset | N/A | uint8 | 255 | 1 to 100 | N/A | N/A |
| Rate_Greenness_Decrease | Rates of change in EVI2 values during a senescence phase | EVI2/Day | uint16 | 32767 | 1 to 32766 | 0.0001 | N/A |
| Rate_Greenness_Increase | Rates of change in EVI2 values during a greenup phase | EVI2/Day | uint16 | 32767 | 1 to 32766 | 0.0001 | N/A |