Uncomment the following line to install geemap if needed.

In [1]:

# !pip install geemap

# !pip install geemap

How to add a colorbar to the map¶

For ipyleaflet maps¶

Continuous colorbar¶

In [2]:

import ee
import geemap

import ee import geemap

In [3]:

# geemap.update_package()

# geemap.update_package()

In [4]:

Map = geemap.Map()

dem = ee.Image('USGS/SRTMGL1_003')
vis_params = {
    'min': 0,
    'max': 4000,
    'palette': ['006633', 'E5FFCC', '662A00', 'D8D8D8', 'F5F5F5'],
}

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

colors = vis_params['palette']
vmin = vis_params['min']
vmax = vis_params['max']

Map.add_colorbar_branca(colors=colors, vmin=vmin, vmax=vmax, layer_name="SRTM DEM")

# nlcd_2016 = ee.Image('USGS/NLCD/NLCD2016').select('landcover')
# Map.addLayer(nlcd_2016, {}, "NLCD")
# Map.add_legend(legend_title="NLCD", builtin_legend="NLCD", layer_name="NLCD")

Map

Map = geemap.Map() dem = ee.Image('USGS/SRTMGL1_003') vis_params = { 'min': 0, 'max': 4000, 'palette': ['006633', 'E5FFCC', '662A00', 'D8D8D8', 'F5F5F5'], } Map.addLayer(dem, vis_params, 'SRTM DEM') colors = vis_params['palette'] vmin = vis_params['min'] vmax = vis_params['max'] Map.add_colorbar_branca(colors=colors, vmin=vmin, vmax=vmax, layer_name="SRTM DEM") # nlcd_2016 = ee.Image('USGS/NLCD/NLCD2016').select('landcover') # Map.addLayer(nlcd_2016, {}, "NLCD") # Map.add_legend(legend_title="NLCD", builtin_legend="NLCD", layer_name="NLCD") Map

Out[4]:

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

Categorical colorbar¶

In [5]:

Map = geemap.Map()

dem = ee.Image('USGS/SRTMGL1_003')
vis_params = {
    'min': 0,
    'max': 4000,
    'palette': ['006633', 'E5FFCC', '662A00', 'D8D8D8', 'F5F5F5'],
}

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

colors = vis_params['palette']
vmin = vis_params['min']
vmax = vis_params['max']

Map.add_colorbar_branca(
    colors=colors, vmin=vmin, vmax=vmax, categorical=True, step=4, layer_name="SRTM DEM"
)

Map

Map = geemap.Map() dem = ee.Image('USGS/SRTMGL1_003') vis_params = { 'min': 0, 'max': 4000, 'palette': ['006633', 'E5FFCC', '662A00', 'D8D8D8', 'F5F5F5'], } Map.addLayer(dem, vis_params, 'SRTM DEM') colors = vis_params['palette'] vmin = vis_params['min'] vmax = vis_params['max'] Map.add_colorbar_branca( colors=colors, vmin=vmin, vmax=vmax, categorical=True, step=4, layer_name="SRTM DEM" ) Map

Out[5]:

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

For folium maps¶

Continuous colorbar¶

In [6]:

import ee
import geemap.foliumap as geemap

import ee import geemap.foliumap as geemap

In [7]:

Map = geemap.Map()

dem = ee.Image('USGS/SRTMGL1_003')
vis_params = {
    'min': 0,
    'max': 4000,
    'palette': ['006633', 'E5FFCC', '662A00', 'D8D8D8', 'F5F5F5'],
}

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

colors = vis_params['palette']
vmin = vis_params['min']
vmax = vis_params['max']

Map.add_colorbar(colors=colors, vmin=vmin, vmax=vmax)

Map.addLayerControl()
Map

Map = geemap.Map() dem = ee.Image('USGS/SRTMGL1_003') vis_params = { 'min': 0, 'max': 4000, 'palette': ['006633', 'E5FFCC', '662A00', 'D8D8D8', 'F5F5F5'], } Map.addLayer(dem, vis_params, 'SRTM DEM') colors = vis_params['palette'] vmin = vis_params['min'] vmax = vis_params['max'] Map.add_colorbar(colors=colors, vmin=vmin, vmax=vmax) Map.addLayerControl() Map

Out[7]:

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

Categorical colorbar¶

In [8]:

Map = geemap.Map()

dem = ee.Image('USGS/SRTMGL1_003')
vis_params = {
    'min': 0,
    'max': 4000,
    'palette': ['006633', 'E5FFCC', '662A00', 'D8D8D8', 'F5F5F5'],
}

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

colors = vis_params['palette']
vmin = vis_params['min']
vmax = vis_params['max']

Map.add_colorbar(colors=colors, vmin=vmin, vmax=vmax, categorical=True, step=4)

Map.addLayerControl()
Map

Map = geemap.Map() dem = ee.Image('USGS/SRTMGL1_003') vis_params = { 'min': 0, 'max': 4000, 'palette': ['006633', 'E5FFCC', '662A00', 'D8D8D8', 'F5F5F5'], } Map.addLayer(dem, vis_params, 'SRTM DEM') colors = vis_params['palette'] vmin = vis_params['min'] vmax = vis_params['max'] Map.add_colorbar(colors=colors, vmin=vmin, vmax=vmax, categorical=True, step=4) Map.addLayerControl() Map

Out[8]:

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

Draggable legend¶

In [9]:

Map = geemap.Map()

legend_dict = {
    '11 Open Water': '466b9f',
    '12 Perennial Ice/Snow': 'd1def8',
    '21 Developed, Open Space': 'dec5c5',
    '22 Developed, Low Intensity': 'd99282',
    '23 Developed, Medium Intensity': 'eb0000',
    '24 Developed High Intensity': 'ab0000',
    '31 Barren Land (Rock/Sand/Clay)': 'b3ac9f',
    '41 Deciduous Forest': '68ab5f',
    '42 Evergreen Forest': '1c5f2c',
    '43 Mixed Forest': 'b5c58f',
    '51 Dwarf Scrub': 'af963c',
    '52 Shrub/Scrub': 'ccb879',
    '71 Grassland/Herbaceous': 'dfdfc2',
    '72 Sedge/Herbaceous': 'd1d182',
    '73 Lichens': 'a3cc51',
    '74 Moss': '82ba9e',
    '81 Pasture/Hay': 'dcd939',
    '82 Cultivated Crops': 'ab6c28',
    '90 Woody Wetlands': 'b8d9eb',
    '95 Emergent Herbaceous Wetlands': '6c9fb8',
}

landcover = ee.Image('USGS/NLCD/NLCD2016').select('landcover')
Map.addLayer(landcover, {}, 'NLCD Land Cover')

Map.add_legend(title="NLCD Land Cover Classification", legend_dict=legend_dict)

Map.addLayerControl()

Map

Map = geemap.Map() legend_dict = { '11 Open Water': '466b9f', '12 Perennial Ice/Snow': 'd1def8', '21 Developed, Open Space': 'dec5c5', '22 Developed, Low Intensity': 'd99282', '23 Developed, Medium Intensity': 'eb0000', '24 Developed High Intensity': 'ab0000', '31 Barren Land (Rock/Sand/Clay)': 'b3ac9f', '41 Deciduous Forest': '68ab5f', '42 Evergreen Forest': '1c5f2c', '43 Mixed Forest': 'b5c58f', '51 Dwarf Scrub': 'af963c', '52 Shrub/Scrub': 'ccb879', '71 Grassland/Herbaceous': 'dfdfc2', '72 Sedge/Herbaceous': 'd1d182', '73 Lichens': 'a3cc51', '74 Moss': '82ba9e', '81 Pasture/Hay': 'dcd939', '82 Cultivated Crops': 'ab6c28', '90 Woody Wetlands': 'b8d9eb', '95 Emergent Herbaceous Wetlands': '6c9fb8', } landcover = ee.Image('USGS/NLCD/NLCD2016').select('landcover') Map.addLayer(landcover, {}, 'NLCD Land Cover') Map.add_legend(title="NLCD Land Cover Classification", legend_dict=legend_dict) Map.addLayerControl() Map

Out[9]:

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

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Last update: 2022-03-14