14 legends

Uncomment the following line to install geemap if needed.

In [1]:

# !pip install geemap

# !pip install geemap

In [2]:

import ee
import geemap

import ee import geemap

In [3]:

geemap.show_youtube('NwnW_qOkNRw')

geemap.show_youtube('NwnW_qOkNRw')

Add builtin legends from geemap Python package¶

https://github.com/giswqs/geemap/blob/master/geemap/legends.py

Available builtin legends:¶

In [4]:

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

Available Land Cover Datasets in Earth Engine¶

https://developers.google.com/earth-engine/datasets/tags/landcover

National Land Cover Database (NLCD)¶

https://developers.google.com/earth-engine/datasets/catalog/USGS_NLCD_RELEASES_2019_REL_NLCD

In [5]:

Map = geemap.Map()
Map.add_basemap('HYBRID')
landcover = ee.Image('USGS/NLCD_RELEASES/2019_REL/NLCD/2019').select('landcover')
Map.addLayer(landcover, {}, 'NLCD Land Cover')
Map.add_legend(builtin_legend='NLCD')
Map

Map = geemap.Map() Map.add_basemap('HYBRID') landcover = ee.Image('USGS/NLCD_RELEASES/2019_REL/NLCD/2019').select('landcover') Map.addLayer(landcover, {}, 'NLCD Land Cover') Map.add_legend(builtin_legend='NLCD') Map

Out[5]:

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National Wetlands Inventory (NWI)¶

https://www.fws.gov/wetlands/data/mapper.html

In [6]:

Map = geemap.Map()
Map.add_basemap('HYBRID')
Map.add_basemap('FWS NWI Wetlands')
Map.add_legend(builtin_legend='NWI')
Map

Map = geemap.Map() Map.add_basemap('HYBRID') Map.add_basemap('FWS NWI Wetlands') Map.add_legend(builtin_legend='NWI') Map

Out[6]:

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MODIS Land Cover Type Yearly Global 500m¶

https://developers.google.com/earth-engine/datasets/catalog/MODIS_051_MCD12Q1

In [7]:

Map = geemap.Map()
Map.add_basemap('HYBRID')

landcover = ee.Image('MODIS/051/MCD12Q1/2013_01_01').select('Land_Cover_Type_1')

Map.setCenter(6.746, 46.529, 2)
Map.addLayer(landcover, {}, 'MODIS Land Cover')
Map.add_legend(builtin_legend='MODIS/051/MCD12Q1')

Map

Map = geemap.Map() Map.add_basemap('HYBRID') landcover = ee.Image('MODIS/051/MCD12Q1/2013_01_01').select('Land_Cover_Type_1') Map.setCenter(6.746, 46.529, 2) Map.addLayer(landcover, {}, 'MODIS Land Cover') Map.add_legend(builtin_legend='MODIS/051/MCD12Q1') Map

Out[7]:

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Add customized legends for Earth Engine data¶

There are three ways you can add customized legends for Earth Engine data

1. Define legend keys and colors
2. Define legend dictionary
3. Convert Earth Engine class table to legend dictionary

Define legend keys and colors¶

In [8]:

Map = geemap.Map()

legend_keys = ['One', 'Two', 'Three', 'Four', 'ect']
# colorS can be defined using either hex code or RGB (0-255, 0-255, 0-255)
legend_colors = ['#8DD3C7', '#FFFFB3', '#BEBADA', '#FB8072', '#80B1D3']
# legend_colors = [(255, 0, 0), (127, 255, 0), (127, 18, 25), (36, 70, 180), (96, 68 123)]

Map.add_legend(
    legend_keys=legend_keys, legend_colors=legend_colors, position='bottomleft'
)
Map

Map = geemap.Map() legend_keys = ['One', 'Two', 'Three', 'Four', 'ect'] # colorS can be defined using either hex code or RGB (0-255, 0-255, 0-255) legend_colors = ['#8DD3C7', '#FFFFB3', '#BEBADA', '#FB8072', '#80B1D3'] # legend_colors = [(255, 0, 0), (127, 255, 0), (127, 18, 25), (36, 70, 180), (96, 68 123)] Map.add_legend( legend_keys=legend_keys, legend_colors=legend_colors, position='bottomleft' ) Map

Out[8]:

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Define a legend dictionary¶

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(legend_title="NLCD Land Cover Classification", legend_dict=legend_dict)
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(legend_title="NLCD Land Cover Classification", legend_dict=legend_dict) Map

Out[9]:

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Convert an Earth Engine class table to legend¶

For example: MCD12Q1.051 Land Cover Type Yearly Global 500m

https://developers.google.com/earth-engine/datasets/catalog/MODIS_051_MCD12Q1

In [10]:

Map = geemap.Map()

ee_class_table = """

Value	Color	Description
0	1c0dff	Water
1	05450a	Evergreen needleleaf forest
2	086a10	Evergreen broadleaf forest
3	54a708	Deciduous needleleaf forest
4	78d203	Deciduous broadleaf forest
5	009900	Mixed forest
6	c6b044	Closed shrublands
7	dcd159	Open shrublands
8	dade48	Woody savannas
9	fbff13	Savannas
10	b6ff05	Grasslands
11	27ff87	Permanent wetlands
12	c24f44	Croplands
13	a5a5a5	Urban and built-up
14	ff6d4c	Cropland/natural vegetation mosaic
15	69fff8	Snow and ice
16	f9ffa4	Barren or sparsely vegetated
254	ffffff	Unclassified

"""

landcover = ee.Image('MODIS/051/MCD12Q1/2013_01_01').select('Land_Cover_Type_1')
Map.setCenter(6.746, 46.529, 2)
Map.addLayer(landcover, {}, 'MODIS Land Cover')

legend_dict = geemap.legend_from_ee(ee_class_table)
Map.add_legend(legend_title="MODIS Global Land Cover", legend_dict=legend_dict)

Map

Map = geemap.Map() ee_class_table = """ Value Color Description 0 1c0dff Water 1 05450a Evergreen needleleaf forest 2 086a10 Evergreen broadleaf forest 3 54a708 Deciduous needleleaf forest 4 78d203 Deciduous broadleaf forest 5 009900 Mixed forest 6 c6b044 Closed shrublands 7 dcd159 Open shrublands 8 dade48 Woody savannas 9 fbff13 Savannas 10 b6ff05 Grasslands 11 27ff87 Permanent wetlands 12 c24f44 Croplands 13 a5a5a5 Urban and built-up 14 ff6d4c Cropland/natural vegetation mosaic 15 69fff8 Snow and ice 16 f9ffa4 Barren or sparsely vegetated 254 ffffff Unclassified """ landcover = ee.Image('MODIS/051/MCD12Q1/2013_01_01').select('Land_Cover_Type_1') Map.setCenter(6.746, 46.529, 2) Map.addLayer(landcover, {}, 'MODIS Land Cover') legend_dict = geemap.legend_from_ee(ee_class_table) Map.add_legend(legend_title="MODIS Global Land Cover", legend_dict=legend_dict) Map

Out[10]:

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Last update: 2022-03-14