Image colorbar

In [1]:

# !pip install geemap

# !pip install geemap

In [2]:

import ee
import geemap
import geemap.colormaps as cm

import ee import geemap import geemap.colormaps as cm

Colormap¶

In [3]:

# geemap.update_package()

# geemap.update_package()

In [4]:

cm.palettes.dem

cm.palettes.dem

Out[4]:

('006633', 'E5FFCC', '662A00', 'D8D8D8', 'F5F5F5')

In [5]:

cm.palettes.ndvi

cm.palettes.ndvi

Out[5]:

('FFFFFF',
 'CE7E45',
 'DF923D',
 'F1B555',
 'FCD163',
 '99B718',
 '74A901',
 '66A000',
 '529400',
 '3E8601',
 '207401',
 '056201',
 '004C00',
 '023B01',
 '012E01',
 '011D01',
 '011301')

In [6]:

cm.palettes.ndwi

cm.palettes.ndwi

Out[6]:

('#ece7f2',
 '#d0d1e6',
 '#a6bddb',
 '#74a9cf',
 '#3690c0',
 '#0570b0',
 '#045a8d',
 '#023858')

In [7]:

cm.get_palette('terrain', n_class=8)

cm.get_palette('terrain', n_class=8)

Out[7]:

['333399',
 '0294fa',
 '24d36d',
 'b6f08a',
 'dbd085',
 '92735e',
 'b6a29d',
 'ffffff']

In [8]:

cm.plot_colormap('terrain', width=8.0, height=0.4, orientation='horizontal')

cm.plot_colormap('terrain', width=8.0, height=0.4, orientation='horizontal')

In [9]:

cm.list_colormaps()

cm.list_colormaps()

Out[9]:

['Accent',
 'Accent_r',
 'Blues',
 'Blues_r',
 'BrBG',
 'BrBG_r',
 'BuGn',
 'BuGn_r',
 'BuPu',
 'BuPu_r',
 'CMRmap',
 'CMRmap_r',
 'Dark2',
 'Dark2_r',
 'GnBu',
 'GnBu_r',
 'Greens',
 'Greens_r',
 'Greys',
 'Greys_r',
 'OrRd',
 'OrRd_r',
 'Oranges',
 'Oranges_r',
 'PRGn',
 'PRGn_r',
 'Paired',
 'Paired_r',
 'Pastel1',
 'Pastel1_r',
 'Pastel2',
 'Pastel2_r',
 'PiYG',
 'PiYG_r',
 'PuBu',
 'PuBuGn',
 'PuBuGn_r',
 'PuBu_r',
 'PuOr',
 'PuOr_r',
 'PuRd',
 'PuRd_r',
 'Purples',
 'Purples_r',
 'RdBu',
 'RdBu_r',
 'RdGy',
 'RdGy_r',
 'RdPu',
 'RdPu_r',
 'RdYlBu',
 'RdYlBu_r',
 'RdYlGn',
 'RdYlGn_r',
 'Reds',
 'Reds_r',
 'Set1',
 'Set1_r',
 'Set2',
 'Set2_r',
 'Set3',
 'Set3_r',
 'Spectral',
 'Spectral_r',
 'Wistia',
 'Wistia_r',
 'YlGn',
 'YlGnBu',
 'YlGnBu_r',
 'YlGn_r',
 'YlOrBr',
 'YlOrBr_r',
 'YlOrRd',
 'YlOrRd_r',
 'afmhot',
 'afmhot_r',
 'autumn',
 'autumn_r',
 'binary',
 'binary_r',
 'bone',
 'bone_r',
 'brg',
 'brg_r',
 'bwr',
 'bwr_r',
 'cividis',
 'cividis_r',
 'cool',
 'cool_r',
 'coolwarm',
 'coolwarm_r',
 'copper',
 'copper_r',
 'cubehelix',
 'cubehelix_r',
 'flag',
 'flag_r',
 'gist_earth',
 'gist_earth_r',
 'gist_gray',
 'gist_gray_r',
 'gist_heat',
 'gist_heat_r',
 'gist_ncar',
 'gist_ncar_r',
 'gist_rainbow',
 'gist_rainbow_r',
 'gist_stern',
 'gist_stern_r',
 'gist_yarg',
 'gist_yarg_r',
 'gnuplot',
 'gnuplot2',
 'gnuplot2_r',
 'gnuplot_r',
 'gray',
 'gray_r',
 'hot',
 'hot_r',
 'hsv',
 'hsv_r',
 'inferno',
 'inferno_r',
 'jet',
 'jet_r',
 'magma',
 'magma_r',
 'nipy_spectral',
 'nipy_spectral_r',
 'ocean',
 'ocean_r',
 'pink',
 'pink_r',
 'plasma',
 'plasma_r',
 'prism',
 'prism_r',
 'rainbow',
 'rainbow_r',
 'seismic',
 'seismic_r',
 'spring',
 'spring_r',
 'summer',
 'summer_r',
 'tab10',
 'tab10_r',
 'tab20',
 'tab20_r',
 'tab20b',
 'tab20b_r',
 'tab20c',
 'tab20c_r',
 'terrain',
 'terrain_r',
 'turbo',
 'turbo_r',
 'twilight',
 'twilight_r',
 'twilight_shifted',
 'twilight_shifted_r',
 'viridis',
 'viridis_r',
 'winter',
 'winter_r']

In [10]:

cm.plot_colormaps(width=12, height=0.4)

cm.plot_colormaps(width=12, height=0.4)

Colorbar¶

In [11]:

Map = geemap.Map()

palette = cm.palettes.dem
# palette = cm.palettes.terrain

dem = ee.Image('USGS/SRTMGL1_003')
vis_params = {'min': 0, 'max': 4000, 'palette': palette}

Map.addLayer(dem, vis_params, 'SRTM DEM')
Map.add_colorbar(vis_params, label="Elevation (m)", layer_name="SRTM DEM")
Map

Map = geemap.Map() palette = cm.palettes.dem # palette = cm.palettes.terrain dem = ee.Image('USGS/SRTMGL1_003') vis_params = {'min': 0, 'max': 4000, 'palette': palette} Map.addLayer(dem, vis_params, 'SRTM DEM') Map.add_colorbar(vis_params, label="Elevation (m)", layer_name="SRTM DEM") Map

Out[11]:

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In [12]:

Map.add_colorbar(
    vis_params, label="Elevation (m)", orientation="vertical", layer_name="SRTM DEM"
)

Map.add_colorbar( vis_params, label="Elevation (m)", orientation="vertical", layer_name="SRTM DEM" )

In [13]:

Map.add_colorbar(
    vis_params,
    label="Elevation (m)",
    orientation="vertical",
    layer_name="SRTM DEM",
    transparent_bg=True,
)

Map.add_colorbar( vis_params, label="Elevation (m)", orientation="vertical", layer_name="SRTM DEM", transparent_bg=True, )

In [14]:

Map.add_colorbar(
    vis_params,
    discrete=True,
    label="Elevation (m)",
    orientation="vertical",
    layer_name="SRTM DEM",
)

Map.add_colorbar( vis_params, discrete=True, label="Elevation (m)", orientation="vertical", layer_name="SRTM DEM", )

Legend¶

In [15]:

legends = geemap.builtin_legends
for legend in legends:
    print(legend)

legends = geemap.builtin_legends for legend in legends: print(legend)

NLCD
ESA_WorldCover
ESRI_LandCover
NWI
MODIS/051/MCD12Q1
MODIS/006/MCD12Q1
GLOBCOVER
JAXA/PALSAR
Oxford
AAFC/ACI
COPERNICUS/CORINE/V20/100m
COPERNICUS/Landcover/100m/Proba-V/Global
USDA/NASS/CDL

In [16]:

Map = geemap.Map(basemap="HYBRID")

Map.add_basemap("FWS NWI Wetlands Raster")
Map.add_legend(builtin_legend="NWI")

Map

Map = geemap.Map(basemap="HYBRID") Map.add_basemap("FWS NWI Wetlands Raster") Map.add_legend(builtin_legend="NWI") Map

Out[16]:

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In [17]:

Map = geemap.Map(basemap="HYBRID")

Map.add_basemap("NLCD 2016 CONUS Land Cover")
Map.add_legend(builtin_legend="NLCD")

Map

Map = geemap.Map(basemap="HYBRID") Map.add_basemap("NLCD 2016 CONUS Land Cover") Map.add_legend(builtin_legend="NLCD") Map

Out[17]:

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In [18]:

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,
    layer_name='NLCD Land Cover',
)

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, layer_name='NLCD Land Cover', ) Map

Out[18]:

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Last update: 2022-03-25