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Full catalog/PACE_OCI_L3M_LANDVI_NRT
PACE_OCI_L3M_LANDVI_NRT·v3.1·dataset

How green the land is, near real-time (PACE)

PACE OCI Level-3 Global Mapped Land Vegetation Indices - Near Real-time (NRT) Data, version 3.1
biosphere NASA OB_CLOUD Level 3 active netCDF-4
In plain English

What it measures. A set of land vegetation indices — numbers describing how green and healthy plants are, including the familiar NDVI plus several newer hyperspectral measures — mapped globally and delivered quickly in near real time.

How it's made. Calculated from surface-reflectance readings by the OCI instrument on NASA's PACE satellite, mapped onto a global grid with clouds masked out.

How & where you'd use it. Good for timely monitoring of vegetation and land-surface conditions. Because it is near-real-time, it trades some accuracy for speed.

What's measured

BIOSPHERE › VEGETATION › VEGETATION INDEX › CHLOROPHYLL INDEX RED EDGE (CIRE)BIOSPHERE › VEGETATION › VEGETATION INDEX › PHOTOCHEMICAL REFLECTANCE INDEX (PRI)BIOSPHERE › VEGETATION › VEGETATION INDEX › CAROTENOID CONTENT INDEX (CAR)BIOSPHERE › VEGETATION › VEGETATION INDEX › CHLOROPHYLL-CAROTENOID INDEX (CCI)BIOSPHERE › VEGETATION › VEGETATION INDEX › MODIFIED ANTHOCYANIN REFLECTANCE INDEX (MARI)BIOSPHERE › VEGETATION › VEGETATION INDEX › NORMALIZED DIFFERENCE INFRARED INDEX (NDII)LAND SURFACE › LAND USE/LAND COVER › LAND USE/LAND COVER CLASSIFICATION › VEGETATION INDEX › NORMALIZED DIFFERENCE VEGETATION INDEX (NDVI)BIOSPHERE › VEGETATION › VEGETATION INDEX › NORMALIZED DIFFERENCE WATER INDEX (NDWI)BIOSPHERE › VEGETATION › VEGETATION INDEX › NORMALIZED DIFFERENCE SNOW INDEX (NDSI)LAND SURFACE › LAND USE/LAND COVER › LAND USE/LAND COVER CLASSIFICATION › VEGETATION INDEX › ENHANCED VEGETATION INDEX (EVI)LAND SURFACE › LAND USE/LAND COVER › LAND USE/LAND COVER CLASSIFICATION › VEGETATION INDEX › CHLOROPHYLL INDEX RED EDGE (CIRE)LAND SURFACE › LAND USE/LAND COVER › LAND USE/LAND COVER CLASSIFICATION › VEGETATION INDEX › PHOTOCHEMICAL REFLECTANCE INDEX (PRI)LAND SURFACE › LAND USE/LAND COVER › LAND USE/LAND COVER CLASSIFICATION › VEGETATION INDEX › CAROTENOID CONTENT INDEX (CAR)LAND SURFACE › LAND USE/LAND COVER › LAND USE/LAND COVER CLASSIFICATION › VEGETATION INDEX › CHLOROPHYLL-CAROTENOID INDEX (CCI)

Coverage & cadence

  • Time span2024-03-05 → ongoing
  • Measured byPACE (OCI)
  • Processing levelLevel 3
  • Spatial extent-180, -90, 180, 90
  • FormatsnetCDF-4
  • StatusACTIVE

What you can do with it

  • Map vegetation, forests and biomass
  • Monitor ecosystem productivity and carbon
  • Support habitat and biodiversity studies
Official description

The Ocean Biology DAAC produces near real-time (NRT) products using the best-available combination of ancillary data from meteorological and ozone data. As such, the inputs and the calibration used are less than optimal. Near real-time products provide a snapshot of the data during a short time period within a single orbit. LANDVI suite provides vegetation and land-surface indices derived from surface reflectance. Six of the indices are heritage, and four are hyperspectral-enabled. Users should see documentation for more details. Users should also note that the L3M product is masked for clouds. Geophysical variables in this suite include: - ndvi — Normalized Difference Vegetation Index (unitless) - evi — Enhanced Vegetation Index (unitless) - cire — Chlorophyll Index Red Edge (unitless) - pri — Photochemical Reflectance Index (unitless) - car — Carotenoid Content Index (unitless) - cci — Chlorophyll–Carotenoid Index (unitless) - mari — Anthocyanin Reflectance Index (unitless) - ndii — Normalized Difference Infrared Index (unitless) - ndwi — Normalized Difference Water Index (unitless) - ndsi — Normalized Difference Snow Index (unitless)

Get the data

pace_oci_l3m_landvi_nrt_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="PACE_OCI_L3M_LANDVI_NRT",
    version="3.1",
    bounding_box=(-122.5, 37.2, -121.8, 37.9),  # your area (W,S,E,N)
    temporal=("2024-01-01", "2024-12-31"),       # your dates
)
files = earthaccess.open(results)   # stream straight from OB_CLOUD
Browsing CMR needs no login. Downloading or streaming bytes needs a free Earthdata Login + the earthaccess package.