MSLSP30NA v001

MuSLI Multi-Source Land Surface Phenology Yearly North America 30 m V001


PI: Mark Friedl

Description

NASA’s Multi-Source Land Imaging (MuSLI) Land Surface Phenology (LSP) Yearly North America 30 meter (m) Version 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) provide the user community with dates of phenophase transitions, including the timing of greenup, maturity, senescence, and dormancy. MSLSP30NA is aligned with the Military Grid Reference System (MGRS) at 30 m spatial resolution. These datasets 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, 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, 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.

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Characteristics

Collection and Granule

Collection

Characteristic Description
CollectionMuSLI
DOI10.5067/Community/MuSLI/MSLSP30NA.001
File Size~100 MB
Temporal ResolutionYearly
Temporal Extent2016-01-01 to 2018-12-31
Spatial ExtentNorth America
Coordinate SystemUniversal Transverse Mercator (UTM)
DatumWorld Geodetic System (WGS84)
File FormatNetCDF4
Geographic Dimensions110 km x 110 km

Granule

Characteristic Description
Number of Science Dataset (SDS) Layers23
Columns/Rows3660 x 3660
Pixel Size30 m

Layers

SDS Name Description Units Data Type Fill Value No Data Value Valid Range Scale Factor
50PCGD¹ 50 Percent Greenness Decrease (Date of 50% greenness decrease) Day 16-bit signed integer 32767 N/A -181 to 548 N/A
50PGCD_2¹ Cycle 2 - 50 Percent Greenness Decrease (Date of 50% greenness decrease) Day 16-bit signed integer 32767 N/A -181 to 548 N/A
50PCGI¹ 50 Percent Greenness Increase (Date of 50% greenness increase) Day 16-bit signed integer 32767 N/A -181 to 548 N/A
50PCGI_2¹ Cycle 2 - 50 Percent Greenness Increase (Date of 50% greenness increase) Day 16-bit signed integer 32767 N/A -181 to 548 N/A
EVIamp EVI2 Amplitutde during vegetation cycle N/A 16-bit signed integer 32767 N/A 0 to 10000 0.0001
EVIamp_2 Cycle 2 - EVI2 Amplitutde during vegetation cycle N/A 16-bit signed integer 32767 N/A 0 to 10000 0.0001
EVIarea Integrated EVI2 during vegetative cycle N/A 16-bit signed integer 32767 N/A 0 to 32766 0.01
EVIarea_2 Cycle 2 - Integrated EVI2 during vegetative cycle N/A 16-bit signed integer 32767 N/A 0 to 32766 0.01
EVImax Maximum EVI2 during vegetation cycle N/A 16-bit signed integer 32767 N/A 0 to 10000 0.0001
EVImax_2 Cycle 2 - Maximum EVI2 during vegetation cycle N/A 16-bit signed integer 32767 N/A 0 to 10000 0.0001
NumCycles Number of phenological cycles Number 16-bit signed integer 32767 N/A 0 to 6 N/A
OGD¹ Onset Greenness Decrease (Date 10% greenness decrease) Day 16-bit signed integer 32767 N/A -181 to 548 N/A
OGD_2¹ Cycle 2 - Onset Greenness Decrease (Date 10% greenness decrease) Day 16-bit signed integer 32767 N/A -181 to 548 N/A
OGI¹ Onset Greenness Increase (Date of 15% greenness increase) Day 16-bit signed integer 32767 N/A -181 to 548 N/A
OGI_2¹ Cycle 2 - Onset Greenness Increase (Date of 15% greenness increase) Day 16-bit signed integer 32767 N/A -181 to 548 N/A
OGMn¹ Onset Greenness Minimum (Date of 85% greenness decrease) Day 16-bit signed integer 32767 N/A -181 to 548 N/A
OGMn_2¹ Cycle 2 - Onset Greenness Minimum (Date of 85% greenness decrease) Day 16-bit signed integer 32767 N/A -181 to 548 N/A
OGMx¹ Onset Greenness Maximum (Date of 90% greenness increase) Day 16-bit signed integer 32767 N/A -181 to 548 N/A
OGMx_2¹ Cycle 2 - Onset Greenness Maximum (Date of 90% greenness increase) Day 16-bit signed integer 32767 N/A -181 to 548 N/A
gdownQA Quality Assurance for Greendown Segment N/A 16-bit signed integer 32767 N/A 1 to 7 N/A
gdownQA_2 Cycle 2 - Quality Assurance for Greendown Segment N/A 16-bit signed integer 32767 N/A 1 to 7 N/A
gupQA Quality Assurance for Greenup Segment N/A 16-bit signed integer 32767 N/A 1 to 7 N/A
gupQA_2 Cycle 2 - Quality Assurance for Greenup Segment N/A 16-bit signed integer 32767 N/A 1 to 7 N/A

¹Some phenological cycles span multiple years therefore estimated phenometrics for a given year of interest can include dates that occur ~180 days prior to or beyond the year of interest. This is identified in the valid range from -181 to 548.

Quality Assurance Values

QA Value Description
1 High Quality
2 Moderate Quality
3 Poor Quality with Successful Fill from Alternative Years
4 Poor Quality with Unsuccessful Fill from Alternative Years
5 No Cycle Detected
6 Water, Algorithm Not Run
7 Border Pixels Masked in 2016 Due to HLS Processing Issue

Product Quality

MuSLI product quality information is found on the MuSLI website.

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 is 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.

Documentation

Using the Data

Access Data

Citation

DOI: 10.5067/Community/MuSLI/MSLSP30NA.001

About the Image

MSLSP 30 m EVIMax image over the Mississippi River flood plain in northeastern Louisiana, 2018.

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