05 gee datasets

Introduction¶

Earth Engine has two fundamental data types: Image for raster data and Geometry for vector data.

• Image: the fundamental raster data type in Earth Engine.
• ImageCollection: a stack or time-series of images.
• Geometry: the fundamental vector data type in Earth Engine.
• Feature: a Geometry with attributes.
• FeatureCollection: a set of features.

Loading Earth Engine datasets¶

Earth Engine datasets can be found at https://developers.google.com/earth-engine/datasets.

Uncomment and execute the following code block to install geemap if needed.

In [1]:

# !pip install geemap

# !pip install geemap

In [2]:

import ee
import geemap

import ee import geemap

In [3]:

Map = geemap.Map()

# Add Earth Engine datasets
dem = ee.Image('USGS/SRTMGL1_003')
landsat7 = ee.Image('LE7_TOA_5YEAR/1999_2003')
states = ee.FeatureCollection("TIGER/2018/States")

# Set visualization parameters.
vis_params = {
    'min': 0,
    'max': 4000,
    'palette': ['006633', 'E5FFCC', '662A00', 'D8D8D8', 'F5F5F5'],
}

# Add Earth Eninge layers to Map
Map.addLayer(dem, vis_params, 'SRTM DEM', True, 0.5)
Map.addLayer(
    landsat7,
    {'bands': ['B4', 'B3', 'B2'], 'min': 20, 'max': 200, 'gamma': 1.5},
    'Landsat 7',
)
Map.addLayer(states, {}, "US States")

Map

Map = geemap.Map() # Add Earth Engine datasets dem = ee.Image('USGS/SRTMGL1_003') landsat7 = ee.Image('LE7_TOA_5YEAR/1999_2003') states = ee.FeatureCollection("TIGER/2018/States") # Set visualization parameters. vis_params = { 'min': 0, 'max': 4000, 'palette': ['006633', 'E5FFCC', '662A00', 'D8D8D8', 'F5F5F5'], } # Add Earth Eninge layers to Map Map.addLayer(dem, vis_params, 'SRTM DEM', True, 0.5) Map.addLayer( landsat7, {'bands': ['B4', 'B3', 'B2'], 'min': 20, 'max': 200, 'gamma': 1.5}, 'Landsat 7', ) Map.addLayer(states, {}, "US States") Map

Out[3]:

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Searching the Earth Engine Data Catalog¶

In [4]:

Map = geemap.Map()
Map

Map = geemap.Map() Map

Out[4]:

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Using the datasets module¶

In [5]:

from geemap.datasets import DATA

from geemap.datasets import DATA

In [6]:

Map = geemap.Map()

dem = ee.Image(DATA.USGS_SRTMGL1_003)

vis_params = {
    'min': 0,
    'max': 4000,
    'palette': ['006633', 'E5FFCC', '662A00', 'D8D8D8', 'F5F5F5'],
}

Map.addLayer(dem, vis_params, 'SRTM DEM')
Map

Map = geemap.Map() dem = ee.Image(DATA.USGS_SRTMGL1_003) vis_params = { 'min': 0, 'max': 4000, 'palette': ['006633', 'E5FFCC', '662A00', 'D8D8D8', 'F5F5F5'], } Map.addLayer(dem, vis_params, 'SRTM DEM') Map

Out[6]:

Make this Notebook Trusted to load map: File -> Trust Notebook

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Last update: 2022-03-25