92 plotly

Uncomment the following line to install geemap if needed.

In [ ]:

# !pip install geemap

# !pip install geemap

In [ ]:

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.

In [ ]:

# 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.

In [ ]:

# geemap.fix_widget_error()

# geemap.fix_widget_error()

Create an interactive map using default settings.

In [ ]:

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" .

In [ ]:

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.

In [ ]:

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.

In [ ]:

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

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

Add XYZ tile layer.

In [ ]:

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"

In [ ]:

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.

In [ ]:

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

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

In [ ]:

m.clear_controls()

m.clear_controls()

Add more buttons to the modebar.

In [ ]:

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://github.com/opengeos/data/releases/download/raster/Libya-2023-07-01.tif"
m.add_cog_layer(url, name="Fire (pre-event)")
m

m = geemap.Map() url = "https://github.com/opengeos/data/releases/download/raster/Libya-2023-07-01.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"

In [ ]:

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.

In [ ]:

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

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

In [ ]:

# 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")

In [ ]:

m.show()

m.show()