VJ215A2H.002: LAI/FPAR 8-Day L4 Global 500m SIN Grid

NASA/VIIRS/002/VJ215A2H
Dataset Availability
2023-02-10T00:00:00Z–2026-10-24T00:00:00Z
Dataset Producer
Earth Engine Snippet
ee.ImageCollection("NASA/VIIRS/002/VJ215A2H")
Cadence
8 Days
Tags
land nasa noaa surface vegetation-indices viirs

Description

The Visible Infrared Imaging Radiometer Suite (VIIRS) Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation (FPAR) Version 2 data product provides information about the vegetative canopy layer at 500 meter resolution (VJ215A2H). The VIIRS sensor is located onboard the NOAA-21 satellite. LAI is an index that quantifies the one-sided leaf area of a canopy, while FPAR is the fraction of incoming solar energy absorbed through photosynthesis at 400 to 700 nanometers. This product is intentionally designed after the Terra and Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) LAI/FPAR operational algorithm to promote the continuity of the Earth Observation System (EOS) mission.

Documentation:

Bands

Bands

Pixel size: 500 meters (all bands)

Name Units Pixel Size Description
Fpar 500 meters

Fraction of Photosynthetically Active Radiation.

FparExtra_QC 500 meters

Pass-through Quality Control (QC) for FPAR

FparLai_QC 500 meters

Quality for LAI and FPAR

FparStdDev 500 meters

Standard deviation of FPAR

Lai Area fraction 500 meters

Leaf Area Index

LaiStdDev Area fraction 500 meters

Standard deviation for LAI

Image Properties

Image Properties

Name Type Description
num_tiles INT

The number of source tiles that were mosaicked to create this image.

Terms of Use

Terms of Use

LP DAAC NASA data are freely accessible; however, when an author publishes these data or works based on the data, it is requested that the author cite the datasets within the text of the publication and include a reference to them in the reference list.

Citations

Citations:

DOIs

Explore with Earth Engine

Code Editor (JavaScript)

var dataset = ee.ImageCollection('NASA/VIIRS/002/VJ215A2H')
                  .filter(ee.Filter.date('2023-11-01', '2023-12-01'));

var visualization = {
  bands: ['Lai'],
  min: [0],
  max: [4],
  palette: [
    'a50026',
    'd73027',
    'f46d43',
    'fdae61',
    'fee08b',
    'ffffbf',
    'd9ef8b',
    'a6d96a',
    '66bd63',
    '1a9850',
    '006837',
  ]
};
Map.setCenter(41.2, 38.84, 3);
Map.addLayer(dataset, visualization, 'Leaf Area Index (LAI)');
Open in Code Editor