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Description

The Multi-Source Land Surface Phenology (LSP) Yearly North America 30 meter (m) Version 1.1 product (MSLSP) provides a Land Surface Phenology product for North America derived from Harmonized Landsat Sentinel-2 (HLS) data. Data from the combined Landsat 8 Operational Land Imager (OLI) and Sentinel-2A and 2B Multispectral Instrument (MSI) provides the user community with dates of phenophase transitions, including the timing of greenup, maturity, senescence, and dormancy at 30m spatial resolution. These data sets are useful for a wide range of applications, including ecosystem and agro-ecosystem modeling, monitoring the response of terrestrial ecosystems to climate variability and extreme events, crop-type discrimination, and land cover, land use, and land cover change mapping.

Provided in the MSLSP product are layers for percent greenness, onset greenness dates, Enhanced Vegetative Index (EVI2) amplitude, and maximum EVI2, and data quality information for up to two phenological cycles per year. For areas where the data values are missing due to cloud cover or other reasons, the data gaps are filled with good quality values from the year directly preceding or following the product year. A low resolution browse image representing maximum EVI is also available for each MSLSP30NA granule.

Known Issues

  • Data are sparse in 2016 and early 2017, as Sentinel-2B was not yet launched, and Sentinel-2A was not fully operational, leading to poorer quality retrievals of phenology in 2016 and 2017. However, poor quality pixels can be masked with Quality Assurance (QA) flags.
  • Disturbance has not been explicitly accounted for or mapped, which can lead to premature detections of senescence and dormancy when sharp spectral changes occur.
  • Pixels with more than two growth cycles per year (e.g., alfalfa fields) may not be accurately characterized, especially if they occur in rapid succession.

Version Description

The following improvements were implemented for the MSLSP30NA Version 1.1 data product: (1) Modest changes were made to the spline fitting algorithm used to estimate the MSLSP30NA product in V011. Only gaps greater than 20 days were filled using observations from the outside of the target year to reduce the computational burden. Sensitivity analyses demonstrated that this change had negligible impact on product results, (2) The Quality Assurance (QA) fields were updated to reflect the changes in the gap-filling. Version 1 included QA values from 1-7, whereas Version 1.1 includes QA values from 1-6, 9, and 10, and (3) Peak date corresponding to the maximum EVI2 value in a growth cycle (Peak and Peak_2) and number of days with clear observations in calendar year (numObS) layers were added.

Product Summary

Platforms
LANDSAT-8 ,
Sentinel-2A ,
Sentinel-2B
Instruments
OLI ,
Sentinel-2 MSI
Spatial Extent

N: 90 S: 0 E: 0 W: -180

Spatial Resolution
30 Meters x 30 Meters
Location
NORTH AMERICA
Coordinate System
CARTESIAN
Granule Spatial Representation
CARTESIAN
Temporal Extent
2016-01-01 to 2019-12-31
Temporal Resolution
1 Year
Data Partner
Land Processes Distributed Active Archive Center (LP DAAC) ,
Land Cover and Surface Climate Group, Department of Earth and Environment, Boston University (BU/EE/LCSC)
Concept ID
C2763268457-LPCLOUD
Data State
COMPLETE
Number of Files/Granules
11120
Processing Level
3
Published
Updated
Science Keywords
Plant Phenology ,
Land Use/Land Cover ,
Enhanced Vegetation Index (EVI)

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.

Copy Citation

Friedl, M. (2021). MuSLI Multi-Source Land Surface Phenology Yearly North America 30 m V011 [Data set]. NASA Land Processes Distributed Active Archive Center. https://doi.org/10.5067/COMMUNITY/MUSLI/MSLSP30NA.011 Date Accessed: 2026-05-03

File Naming Convention

MSLSP_20TQR_2019.nc

The file name begins with the Product Identifier (MSLSP) followed by the 5-character Military Grid Reference System Tile Identifier (20TQR), the Product Year (2019), and the Data Format (nc).

Documents

Publications Citing This Dataset

Filters
Title Year Author Topic
Generating the 500 m Global Satellite Vegetation Productivity Phenology Ren, Boyu, Cao, Yunfeng, Tian, Jiaxin, Liang, Shunlin, Yu, Meng Land Use/Land Cover Classification, Plant Phenology, Land Use/Land Cover, Enhanced Vegetation Index (EVI)
Cross-Scalar Analysis of Multisensor Land Surface Phenology Gao, Xiaojie, Stonebrook, Sophia, Green, Tristan, Moon, Minkyu, Friedl, Mark A. Land Use/Land Cover Classification, Plant Phenology, Enhanced Vegetation Index (EVI), Land Use/Land Cover, Leaf Characteristics
Phenology and Plant Functional Type Link Optical Properties of Vegetation Canopies to Patterns of Vertical Vegetation Complexity Jurayj, Duncan, Bowers, Rebecca, Fayne, Jessica V. Aquatic Ecosystems, Terrestrial Ecosystems, Vegetation, Soils, Maximum/Minimum Temperature, 24 Hour Precipitation Amount, Snow Water Equivalent, Shortwave Radiation, Vapor Pressure, Reflectance, Terrain Elevation, Glacier Elevation/Ice Sheet Elevation, Sea Ice Elevation, VEGETATION HEIGHT, Land Use/Land Cover Classification, Forests, Vegetation Cover, Alpine/Tundra, Dominant Species, Plant Phenology, Land Use/Land Cover, Enhanced Vegetation Index (EVI), Sensor Counts
Increasing contribution of alluvial groundwater to riparian cottonwood forest water use through warm and dry summers Zimmerman, Oscar R., Pearce, David W., Woodman, Samuel G., Rood, Stewart B., Flanagan, Lawrence B. Plant Phenology, Land Use/Land Cover, Enhanced Vegetation Index (EVI)
Climate lags and genetics determine phenology in quaking aspen (Populus Blonder, Benjamin W., Brodrick, Philip G., Chadwick, K. Dana, Carroll, Erin, Cruzde Hoyos, Roxanne M., ExpositoAlonso, Moises, Hateley, Shannon, Moon, Minkyu, Ray, Courtenay A., Tran, Hoang, Walton, James A. Plant Phenology, Land Use/Land Cover, Enhanced Vegetation Index (EVI)
A high spatial resolution land surface phenology dataset for AmeriFlux and NEON sites Moon, Minkyu, Richardson, Andrew D., Milliman, Thomas, Friedl, Mark A. Plant Phenology, Land Use/Land Cover, Enhanced Vegetation Index (EVI), Leaf Characteristics
Recent advances in remote sensing of vegetation phenology: Retrieval algorithm and validation strategy WANG, Minyu, , 730000 College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China, LUO, Yi, ZHANG, Zhengyang, XIE, Qiaoyun, WU, Xiaodan, MA, Xuanlong Plant Phenology, Enhanced Vegetation Index (EVI), Land Use/Land Cover, Vegetation Index, Plant Phenological Changes
Remote sensing of phenology: Towards the comprehensive indicators of plant community dynamics from species to regional scales Dronova, Iryna, Taddeo, Sophie Plant Phenology, Land Use/Land Cover, Enhanced Vegetation Index (EVI)
Senescence in temperate broadleaf trees exhibits species-specific Moon, Minkyu, Richardson, Andrew D., O'Keefe, John, Friedl, Mark A. Plant Phenology, Land Use/Land Cover, Enhanced Vegetation Index (EVI)
A Bayesian model to estimate land surface phenology parameters with harmonized Landsat 8 and Sentinel-2 images Babcock, Chad, Finley, Andrew O., Looker, Nathaniel Plant Phenology, Land Use/Land Cover, Enhanced Vegetation Index (EVI)
Multiscale assessment of land surface phenology from harmonized Landsat 8 and Sentinel-2, PlanetScope, and PhenoCam imagery Moon, Minkyu, Richardson, Andrew D., Friedl, Mark A. Plant Phenology, Land Use/Land Cover, Enhanced Vegetation Index (EVI), Reflectance, Land Use/Land Cover Classification, Plant Characteristics, Vegetation Cover, Vegetation Index
Long-term, medium spatial resolution annual land surface phenology with a Bayesian hierarchical model Gao, Xiaojie, Gray, Josh M., Reich, Brian J. Plant Phenology, Enhanced Vegetation Index (EVI), Land Use/Land Cover
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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 Description Units Data Type Fill Value Valid Range Scale Factor Offset
50PCGD 50 Percent Greenness Decrease (Date of 50% greenness decrease) Day int16 32767 -181 to 548 N/A N/A
50PCGI 50 Percent Greenness Increase (Date of 50% greenness increase) Day int16 32767 -181 to 548 N/A N/A
50PCGI_2 Cycle 2 - 50 Percent Greenness Increase (Date of 50% greenness increase) Day int16 32767 -181 to 548 N/A N/A
50PGCD_2 Cycle 2 - 50 Percent Greenness Decrease (Date of 50% greenness decrease) Day int16 32767 -181 to 548 N/A N/A
EVIamp EVI2 Amplitutde during vegetation cycle N/A int16 32767 0 to 10000 0.0001 N/A
EVIamp_2 Cycle 2 - EVI2 Amplitutde during vegetation cycle N/A int16 32767 0 to 10000 0.0001 N/A
EVIarea Integrated EVI2 during vegetative cycle N/A int16 32767 0 to 32766 0.01 N/A
EVIarea_2 Cycle 2 - Integrated EVI2 during vegetative cycle N/A int16 32767 0 to 32766 0.01 N/A
EVImax Maximum EVI2 during vegetation cycle N/A int16 32767 0 to 10000 0.0001 N/A
EVImax_2 Cycle 2 - Maximum EVI2 during vegetation cycle N/A int16 32767 0 to 10000 0.0001 N/A
gdownQA Quality Assurance for Greendown Segment N/A int16 32767 1 to 7 N/A N/A
gdownQA_2 Cycle 2 - Quality Assurance for Greendown Segment N/A int16 32767 1 to 7 N/A N/A
gupQA Quality Assurance for Greenup Segment N/A int16 32767 1 to 7 N/A N/A
gupQA_2 Cycle 2 - Quality Assurance for Greenup Segment N/A int16 32767 1 to 7 N/A N/A
NumCycles Number of phenological cycles Number int16 32767 0 to 6 N/A N/A
numObs Number of days with clear observations in calendar year Number int16 32676 1 to 366 N/A N/A
OGD Onset Greenness Decrease (Date 10% greenness decrease) Day int16 32767 -181 to 548 N/A N/A
OGD_2 Cycle 2 - Onset Greenness Decrease (Date 10% greenness decrease) Day int16 32767 -181 to 548 N/A N/A
OGI Onset Greenness Increase (Date of 15% greenness increase) Day int16 32767 -181 to 548 N/A N/A
OGI_2 Cycle 2 - Onset Greenness Increase (Date of 15% greenness increase) Day int16 32767 -181 to 548 N/A N/A
OGMn Onset Greenness Minimum (Date of 85% greenness decrease) Day int16 32767 -181 to 548 N/A N/A
OGMn_2 Cycle 2 - Onset Greenness Minimum (Date of 85% greenness decrease) Day int16 32767 -181 to 548 N/A N/A
OGMx Onset Greenness Maximum (Date of 90% greenness increase) Day int16 32767 -181 to 548 N/A N/A
OGMx_2 Cycle 2 - Onset Greenness Maximum (Date of 90% greenness increase) Day int16 32767 -181 to 548 N/A N/A
Peak Date of Cycle Peak Day int16 32767 1 to 366 N/A N/A
Peak_2 Cycle 2 - Date of Cycle Peak Day int16 32676 1 to 366 N/A N/A
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