Uncomment the following line to install geemap if needed.

In [ ]:

# !pip install geemap

# !pip install geemap

How to add a colorbar to the map¶

For ipyleaflet maps¶

Continuous colorbar¶

In [ ]:

import ee
import geemap

import ee import geemap

In [ ]:

# geemap.update_package()

# geemap.update_package()

In [ ]:

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

Categorical colorbar¶

In [ ]:

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

For folium maps¶

Continuous colorbar¶

In [ ]:

import ee
import geemap.foliumap as geemap

import ee import geemap.foliumap as geemap

In [ ]:

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(vis_params, label="Elevation (m)")

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(vis_params, label="Elevation (m)") Map.addLayerControl() Map

Categorical colorbar¶

In [ ]:

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(vis_params, 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(vis_params, categorical=True, step=4) Map.addLayerControl() Map

Draggable legend¶

In [ ]:

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