# !pip install geemap

import ee
import geemap.plotlymap as geemap

# geemap.update_package()

# geemap.fix_widget_error()

m = geemap.Map()
m

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

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

geemap.basemaps.keys()

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

import os

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

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

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

m.clear_controls()

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

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

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

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

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

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

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

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

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

# 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")

m.show()