This tutorial shows you how to retrieve basic properties (metadata) of an Earth Engine image and how to calculate descriptive statistics (e.g., min, max, mean, std, sum).

Requirements

• geemap - A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets

Installation

conda create -n gee python=3.7
conda activate gee
conda install mamba -c conda-forge
mamba install geemap -c conda-forge

Resources

Notebook:

• github.com/giswqs/geemap/blob/master/exampl..

Demo

Video

Import libraries

import ee
import geemap

Create an interactive map

Map = geemap.Map()
Map

Add images to the map

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")

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

landsat.propertyNames().getInfo()

landsat.get('CLOUD_COVER').getInfo()

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

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

Get image properties all at once

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

landsat_props.get('IMAGE_DATE').getInfo()

landsat_props.get('CLOUD_COVER').getInfo()

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

naip_props.get('NOMINAL_SCALE').getInfo()

Get image descriptive statistics

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

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

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