Planetscope EVI

Overview
Extent
    Global
Spatial Resolution
    3-5m
Data Source(s)
    Planet
Science Partner

Description

Planet is a private earth imaging company who provides daily global coverage of the earth at high spatial resolution. Daily images are composted into a weekly basemap based on image quality. Data is collected using a constellation of over 150 individual satellites called doves. Currently, three generations of doves are used in this dataset: Dove-Classic, Dove-R, and SuperDove. Planet data is available using surface reflectance.

Enhanced Vegetation Index (EVI) provides information on vegetation growth and productivity. Effects due to climate, weather, fire, water, and vegetation and crop management practices can be assessed through developing and visualizing maps, time series, and anomalies of EVI.

EVI is calculated using the Blue, Red, and Near infrared (NIR) bands following the equation EVI = 2.5 * (NIR – Red) / (NIR + 6 * Red – 7.5 * Blue + 1). The Blue band is used to correct Red band values for atmospheric influences and for effects of the underlying soil (Lie and Huete, 1995). EVI does not saturate as quickly in conditions of high leaf area index or biomass. EVI ranges between -1 and 1 where values above 0.5 represent conditions of high vegetation vigor.

Bands Used:
Blue: 0.455-0.515 μm
Red: 0.590-0.670 μm
Near Infrared (NIR): 0.780-0.860 μm

Technical Information

Feature
Detail
Extent
Global
Period of Record
2015-present
Spatial Resolution
3-5m (latitude dependent)
Temporal Resolution
Weekly composite of daily images
Data Summaries
max, min, mean, median, anomalies, trend and statistical significance, spatial and temporal aggregations, time series
Data Source(s)
Planet
Data Formats
raster (geotiff), raster tile (tile ID), time series (.csv, .xls, .json, .geojson)
Sources

Liu, H. Q., & Huete, A. (1995). A feedback based modification of the NDVI to minimize canopy background and atmospheric noise. IEEE Transactions on Geoscience and Remote Sensing, 33, 457−465

A. Huete, K. Didan, T. Miura, E. P. Rodriguez, X. Gao, L. G. Ferreira. (2002) Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sensing of Environment, 83, 195-213

End User License Agreement

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Your license is subject to your prior acceptance of either this Licensed Application End User License Agreement (“Standard EULA”), or a custom end user license agreement between you and the Application Provider (“Custom EULA”), if one is provided.

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