92 plotly

Uncomment the following line to install geemap if needed.

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# !pip install geemap

# !pip install geemap

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import ee
import geemap.plotlymap as geemap

import ee import geemap.plotlymap as geemap

If you are using a recently implemented geema feature that has not yet been released to PyPI or conda-forge, you can uncomment the following line to install the development version from GitHub.

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# geemap.update_package()

# geemap.update_package()

If you run into an error saying "FigureWidget - 'mapbox._derived' Value Error" (source), uncomment the following line and run it.

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# geemap.fix_widget_error()

# geemap.fix_widget_error()

Create an interactive map using default settings.

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m = geemap.Map()
m

m = geemap.Map() m

Change default setting when creating a map.

Can be one of string from "open-street-map", "carto-positron", "carto-darkmatter", "stamen-terrain", "stamen-toner" or "stamen-watercolor" .

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m = geemap.Map(center=(40, -100), zoom=3, basemap="stamen-terrain", height=500)
m

m = geemap.Map(center=(40, -100), zoom=3, basemap="stamen-terrain", height=500) m

Set map center and zoom level.

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m = geemap.Map(basemap="stamen-watercolor")
m.set_center(lat=20, lon=0, zoom=2)
m

m = geemap.Map(basemap="stamen-watercolor") m.set_center(lat=20, lon=0, zoom=2) m

Print out available basemaps.

In [ ]:

geemap.basemaps.keys()

geemap.basemaps.keys()

Add a basemap.

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m = geemap.Map()
m.add_basemap("OpenTopoMap")
m

m = geemap.Map() m.add_basemap("OpenTopoMap") m

Add XYZ tile layer.

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m = geemap.Map()
tile_url = "https://mt1.google.com/vt/lyrs=y&x={x}&y={y}&z={z}"
m.add_tile_layer(tile_url, name="Google Satellite", attribution="Google", opacity=1.0)
m

m = geemap.Map() tile_url = "https://mt1.google.com/vt/lyrs=y&x={x}&y={y}&z={z}" m.add_tile_layer(tile_url, name="Google Satellite", attribution="Google", opacity=1.0) m

Add a mapbox tile layer. You will need a mapbox token. The map style can be Can be "basic", "streets", "outdoors", "light", "dark", "satellite", or "satellite-streets".

In [ ]:

import os

import os

In [ ]:

# os.environ["MAPBOX_TOKEN"] = "your-mapbox-token"

# os.environ["MAPBOX_TOKEN"] = "your-mapbox-token"

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m = geemap.Map()
m.add_mapbox_layer(style="streets")
m

m = geemap.Map() m.add_mapbox_layer(style="streets") m

Remove the modebar in the upper-right corner.

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m = geemap.Map(basemap="stamen-toner")
m

m = geemap.Map(basemap="stamen-toner") m

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m.clear_controls()

m.clear_controls()

Add more buttons to the modebar.

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m = geemap.Map(basemap="carto-positron")
controls = [
    'drawline',
    'drawopenpath',
    'drawclosedpath',
    'drawcircle',
    'drawrect',
    'eraseshape',
]
m.add_controls(controls)
m

m = geemap.Map(basemap="carto-positron") controls = [ 'drawline', 'drawopenpath', 'drawclosedpath', 'drawcircle', 'drawrect', 'eraseshape', ] m.add_controls(controls) m

Add Cloud Optimized GeoTIFF.

In [ ]:

m = geemap.Map()
url = 'https://opendata.digitalglobe.com/events/california-fire-2020/pre-event/2018-02-16/pine-gulch-fire20/1030010076004E00.tif'
m.add_cog_layer(url, name="Fire (pre-event)")
m

m = geemap.Map() url = 'https://opendata.digitalglobe.com/events/california-fire-2020/pre-event/2018-02-16/pine-gulch-fire20/1030010076004E00.tif' m.add_cog_layer(url, name="Fire (pre-event)") m

Add a STAC item via HTTP URL.

In [ ]:

m = geemap.Map()
url = 'https://canada-spot-ortho.s3.amazonaws.com/canada_spot_orthoimages/canada_spot5_orthoimages/S5_2007/S5_11055_6057_20070622/S5_11055_6057_20070622.json'
m.add_stac_layer(url, bands=['B3', 'B2', 'B1'], name='False color')
m

m = geemap.Map() url = 'https://canada-spot-ortho.s3.amazonaws.com/canada_spot_orthoimages/canada_spot5_orthoimages/S5_2007/S5_11055_6057_20070622/S5_11055_6057_20070622.json' m.add_stac_layer(url, bands=['B3', 'B2', 'B1'], name='False color') m

Add a STAC item from Microsoft Planetary Computer.

In [ ]:

collection = "landsat-8-c2-l2"
item = "LC08_L2SP_047027_20201204_02_T1"

collection = "landsat-8-c2-l2" item = "LC08_L2SP_047027_20201204_02_T1"

In [ ]:

m = geemap.Map()
m.add_stac_layer(
    collection=collection,
    item=item,
    bands=["SR_B7", "SR_B5", "SR_B4"],
    titiler_endpoint="pc",
)
m

m = geemap.Map() m.add_stac_layer( collection=collection, item=item, bands=["SR_B7", "SR_B5", "SR_B4"], titiler_endpoint="pc", ) m

Add a heat map.

In [ ]:

url = 'https://raw.githubusercontent.com/plotly/datasets/master/earthquakes-23k.csv'

url = 'https://raw.githubusercontent.com/plotly/datasets/master/earthquakes-23k.csv'

In [ ]:

m = geemap.Map(basemap="stamen-terrain")
m.add_heatmap(
    url, latitude="Latitude", longitude="Longitude", z="Magnitude", name="Earthquake"
)
m

m = geemap.Map(basemap="stamen-terrain") m.add_heatmap( url, latitude="Latitude", longitude="Longitude", z="Magnitude", name="Earthquake" ) m

Add a choropleth map.

In [ ]:

url = "https://raw.githubusercontent.com/gee-community/geemap/master/examples/data/countries.geojson"

url = "https://raw.githubusercontent.com/gee-community/geemap/master/examples/data/countries.geojson"

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m = geemap.Map(basemap="stamen-terrain")
m.add_choropleth_map(url, name="Pop", z="POP_EST", colorscale="Viridis")
m

m = geemap.Map(basemap="stamen-terrain") m.add_choropleth_map(url, name="Pop", z="POP_EST", colorscale="Viridis") m

Add Earth Engine layers.

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m = geemap.Map()
m.add_basemap("HYBRID")

m = geemap.Map() m.add_basemap("HYBRID")

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# Add Earth Engine dataset
dem = ee.Image('USGS/SRTMGL1_003')
landsat7 = ee.Image('LANDSAT/LE7_TOA_5YEAR/1999_2003').select(
    ['B1', 'B2', 'B3', 'B4', 'B5', 'B7']
)
states = ee.FeatureCollection("TIGER/2018/States")

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

# Add Earth Engine layers to Map
m.addLayer(dem, vis_params, 'SRTM DEM', True, 0.5)
m.addLayer(
    landsat7,
    {'bands': ['B4', 'B3', 'B2'], 'min': 20, 'max': 200, 'gamma': 2.0},
    'Landsat 7',
)
m.addLayer(states, {}, "US States")

# Add Earth Engine dataset dem = ee.Image('USGS/SRTMGL1_003') landsat7 = ee.Image('LANDSAT/LE7_TOA_5YEAR/1999_2003').select( ['B1', 'B2', 'B3', 'B4', 'B5', 'B7'] ) states = ee.FeatureCollection("TIGER/2018/States") # Set visualization parameters. vis_params = { 'min': 0, 'max': 4000, 'palette': ['006633', 'E5FFCC', '662A00', 'D8D8D8', 'F5F5F5'], } # Add Earth Engine layers to Map m.addLayer(dem, vis_params, 'SRTM DEM', True, 0.5) m.addLayer( landsat7, {'bands': ['B4', 'B3', 'B2'], 'min': 20, 'max': 200, 'gamma': 2.0}, 'Landsat 7', ) m.addLayer(states, {}, "US States")

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m.show()

m.show()

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Last update: 2023-08-12
Created: 2022-01-08