Uncomment the following line to install geemap if needed.

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# !pip install geemap

How to get image basic properties and descriptive statistics¶

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import ee
import geemap

Create an interactive map¶

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Map = geemap.Map()
Map

Add images to the map¶

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centroid = ee.Geometry.Point([-122.4439, 37.7538])

landsat = ee.ImageCollection("LANDSAT/LC08/C01/T1_SR").filterBounds(centroid).first()

landsat_vis = {"min": 0, "max": 3000, "bands": ["B5", "B4", "B3"]}

Map.centerObject(centroid, 8)
Map.addLayer(landsat, landsat_vis, "Landsat-8")

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naip = ee.ImageCollection("USDA/NAIP/DOQQ").filterBounds(centroid).first()

naip_vis = {"bands": ["N", "R", "G"]}

Map.addLayer(naip, naip_vis, "NAIP")

Get image property names¶

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landsat.propertyNames().getInfo()

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landsat.get("CLOUD_COVER").getInfo()

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# The number of milliseconds since 1970-01-01T00:00:00Z.
landsat.get("system:time_start").getInfo()

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ee.Date(landsat.get("system:time_start")).format("YYYY-MM-dd").getInfo()

Get image properties all at once¶

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landsat_props = geemap.image_props(landsat)
landsat_props.getInfo()

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landsat_props.get("IMAGE_DATE").getInfo()

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naip_props = geemap.image_props(naip)
naip_props.getInfo()

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naip_props.get("NOMINAL_SCALE").getInfo()

Get image descriptive statistics¶

Including minimum, maximum, mean, standard deviation, and sum.

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landsat_stats = geemap.image_stats(landsat, scale=90)
landsat_stats.getInfo()

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naip_stats = geemap.image_stats(naip, scale=10)
naip_stats.getInfo()