Creating Satellite Image Time Series and Timelapse Animations¶

Import libraries¶

In [ ]:

# pip install geemap

# pip install geemap

In [ ]:

import ee
import geemap

import ee import geemap

In [ ]:

geemap.ee_initialize()

geemap.ee_initialize()

The map function¶

In [ ]:

myList = ee.List.sequence(1, 10)
print(myList.getInfo())

myList = ee.List.sequence(1, 10) print(myList.getInfo())

In [ ]:

def computeSquares(number):
    return ee.Number(number).pow(2)


squares = myList.map(computeSquares)
print(squares.getInfo())

def computeSquares(number): return ee.Number(number).pow(2) squares = myList.map(computeSquares) print(squares.getInfo())

In [ ]:

squares = myList.map(lambda number: ee.Number(number).pow(2))
print(squares.getInfo())

squares = myList.map(lambda number: ee.Number(number).pow(2)) print(squares.getInfo())

Creating cloud-free composites¶

In [ ]:

Map = geemap.Map()
fc = ee.FeatureCollection('USDOS/LSIB_SIMPLE/2017').filter(
    ee.Filter.eq('country_na', 'Netherlands')
)

Map.addLayer(fc, {'color': 'ff000000'}, "Netherlands")
Map.centerObject(fc)
Map

Map = geemap.Map() fc = ee.FeatureCollection('USDOS/LSIB_SIMPLE/2017').filter( ee.Filter.eq('country_na', 'Netherlands') ) Map.addLayer(fc, {'color': 'ff000000'}, "Netherlands") Map.centerObject(fc) Map

In [ ]:

years = ee.List.sequence(2013, 2021)

years = ee.List.sequence(2013, 2021)

In [ ]:

def yearly_image(year):
    start_date = ee.Date.fromYMD(year, 1, 1)
    end_date = start_date.advance(1, "year")

    collection = (
        ee.ImageCollection('LANDSAT/LC08/C01/T1')
        .filterDate(start_date, end_date)
        .filterBounds(fc)
    )

    image = ee.Algorithms.Landsat.simpleComposite(collection).clipToCollection(fc)

    return image

def yearly_image(year): start_date = ee.Date.fromYMD(year, 1, 1) end_date = start_date.advance(1, "year") collection = ( ee.ImageCollection('LANDSAT/LC08/C01/T1') .filterDate(start_date, end_date) .filterBounds(fc) ) image = ee.Algorithms.Landsat.simpleComposite(collection).clipToCollection(fc) return image

In [ ]:

images = years.map(yearly_image)

images = years.map(yearly_image)

In [ ]:

vis_params = {'bands': ['B5', 'B4', 'B3'], 'max': 128}
for index in range(0, 9):
    image = ee.Image(images.get(index))
    layer_name = "Year " + str(index + 2013)
    Map.addLayer(image, vis_params, layer_name)

vis_params = {'bands': ['B5', 'B4', 'B3'], 'max': 128} for index in range(0, 9): image = ee.Image(images.get(index)) layer_name = "Year " + str(index + 2013) Map.addLayer(image, vis_params, layer_name)

Creating timeseries¶

In [ ]:

collection = ee.ImageCollection("COPERNICUS/S2_HARMONIZED").filterMetadata(
    'CLOUDY_PIXEL_PERCENTAGE', 'less_than', 10
)

collection = ee.ImageCollection("COPERNICUS/S2_HARMONIZED").filterMetadata( 'CLOUDY_PIXEL_PERCENTAGE', 'less_than', 10 )

In [ ]:

start_date = '2016-01-01'
end_date = '2022-12-31'
region = ee.Geometry.BBox(-122.5549, 37.6968, -122.3446, 37.8111)

start_date = '2016-01-01' end_date = '2022-12-31' region = ee.Geometry.BBox(-122.5549, 37.6968, -122.3446, 37.8111)

In [ ]:

images = geemap.create_timeseries(
    collection, start_date, end_date, region, frequency='year', reducer='median'
)
images.size().getInfo()

images = geemap.create_timeseries( collection, start_date, end_date, region, frequency='year', reducer='median' ) images.size().getInfo()

In [ ]:

Map = geemap.Map()

vis_params = {"min": 0, "max": 4000, "bands": ["B8", "B4", "B3"]}
labels = [str(y) for y in range(2016, 2023)]

Map.addLayer(images, vis_params, "Sentinel-2", False)
Map.add_time_slider(images, vis_params, time_interval=2, labels=labels)
Map.centerObject(region)
Map

Map = geemap.Map() vis_params = {"min": 0, "max": 4000, "bands": ["B8", "B4", "B3"]} labels = [str(y) for y in range(2016, 2023)] Map.addLayer(images, vis_params, "Sentinel-2", False) Map.add_time_slider(images, vis_params, time_interval=2, labels=labels) Map.centerObject(region) Map

NAIP timelapse¶

In [ ]:

Map = geemap.Map(center=[40, -100], zoom=4)
Map

Map = geemap.Map(center=[40, -100], zoom=4) Map

In [ ]:

roi = Map.user_roi
if roi is None:
    roi = ee.Geometry.BBox(-99.1019, 47.1274, -99.0334, 47.1562)
    Map.addLayer(roi)
    Map.centerObject(roi)

roi = Map.user_roi if roi is None: roi = ee.Geometry.BBox(-99.1019, 47.1274, -99.0334, 47.1562) Map.addLayer(roi) Map.centerObject(roi)

In [ ]:

collection = geemap.naip_timeseries(roi, start_year=2009, end_year=2022, RGBN=True)

collection = geemap.naip_timeseries(roi, start_year=2009, end_year=2022, RGBN=True)

In [ ]:

years = geemap.image_dates(collection, date_format='YYYY').getInfo()
print(years)

years = geemap.image_dates(collection, date_format='YYYY').getInfo() print(years)

In [ ]:

size = len(years)
images = collection.toList(size)
for i in range(size):
    image = ee.Image(images.get(i))
    Map.addLayer(image, {'bands': ['N', 'R', 'G']}, years[i])
Map

size = len(years) images = collection.toList(size) for i in range(size): image = ee.Image(images.get(i)) Map.addLayer(image, {'bands': ['N', 'R', 'G']}, years[i]) Map

In [ ]:

timelapse = geemap.naip_timelapse(
    roi,
    out_gif="naip.gif",
    bands=['N', 'R', 'G'],
    frames_per_second=3,
    title='NAIP Timelapse',
)
geemap.show_image(timelapse)

timelapse = geemap.naip_timelapse( roi, out_gif="naip.gif", bands=['N', 'R', 'G'], frames_per_second=3, title='NAIP Timelapse', ) geemap.show_image(timelapse)

Landsat timelapse¶

In [ ]:

Map = geemap.Map()
Map

Map = geemap.Map() Map

In [ ]:

roi = Map.user_roi
if roi is None:
    roi = ee.Geometry.BBox(-74.7222, -8.5867, -74.1596, -8.2824)
    Map.addLayer(roi)
    Map.centerObject(roi)

roi = Map.user_roi if roi is None: roi = ee.Geometry.BBox(-74.7222, -8.5867, -74.1596, -8.2824) Map.addLayer(roi) Map.centerObject(roi)

In [ ]:

timelapse = geemap.landsat_timelapse(
    roi,
    out_gif='landsat.gif',
    start_year=1984,
    end_year=2022,
    start_date='01-01',
    end_date='12-31',
    bands=['SWIR1', 'NIR', 'Red'],
    frames_per_second=5,
    title='Landsat Timelapse',
    progress_bar_color='blue',
    mp4=True,
)
geemap.show_image(timelapse)

timelapse = geemap.landsat_timelapse( roi, out_gif='landsat.gif', start_year=1984, end_year=2022, start_date='01-01', end_date='12-31', bands=['SWIR1', 'NIR', 'Red'], frames_per_second=5, title='Landsat Timelapse', progress_bar_color='blue', mp4=True, ) geemap.show_image(timelapse)

In [ ]:

Map = geemap.Map()
roi = ee.Geometry.BBox(-115.5541, 35.8044, -113.9035, 36.5581)
Map.addLayer(roi)
Map.centerObject(roi)
Map

Map = geemap.Map() roi = ee.Geometry.BBox(-115.5541, 35.8044, -113.9035, 36.5581) Map.addLayer(roi) Map.centerObject(roi) Map

In [ ]:

timelapse = geemap.landsat_timelapse(
    roi,
    out_gif='las_vegas.gif',
    start_year=1984,
    end_year=2022,
    bands=['NIR', 'Red', 'Green'],
    frames_per_second=5,
    title='Las Vegas, NV',
    font_color='blue',
)
geemap.show_image(timelapse)

timelapse = geemap.landsat_timelapse( roi, out_gif='las_vegas.gif', start_year=1984, end_year=2022, bands=['NIR', 'Red', 'Green'], frames_per_second=5, title='Las Vegas, NV', font_color='blue', ) geemap.show_image(timelapse)

In [ ]:

Map = geemap.Map()
roi = ee.Geometry.BBox(113.8252, 22.1988, 114.0851, 22.3497)
Map.addLayer(roi)
Map.centerObject(roi)
Map

Map = geemap.Map() roi = ee.Geometry.BBox(113.8252, 22.1988, 114.0851, 22.3497) Map.addLayer(roi) Map.centerObject(roi) Map

In [ ]:

timelapse = geemap.landsat_timelapse(
    roi,
    out_gif='hong_kong.gif',
    start_year=1990,
    end_year=2022,
    start_date='01-01',
    end_date='12-31',
    bands=['SWIR1', 'NIR', 'Red'],
    frames_per_second=3,
    title='Hong Kong',
)
geemap.show_image(timelapse)

timelapse = geemap.landsat_timelapse( roi, out_gif='hong_kong.gif', start_year=1990, end_year=2022, start_date='01-01', end_date='12-31', bands=['SWIR1', 'NIR', 'Red'], frames_per_second=3, title='Hong Kong', ) geemap.show_image(timelapse)

Sentinel-1 timelapse¶

In [ ]:

Map = geemap.Map()
Map

Map = geemap.Map() Map

In [ ]:

roi = Map.user_roi
if roi is None:
    roi = ee.Geometry.BBox(117.1132, 3.5227, 117.2214, 3.5843)
    Map.addLayer(roi)
    Map.centerObject(roi)

roi = Map.user_roi if roi is None: roi = ee.Geometry.BBox(117.1132, 3.5227, 117.2214, 3.5843) Map.addLayer(roi) Map.centerObject(roi)

In [ ]:

timelapse = geemap.sentinel1_timelapse(
    roi,
    out_gif='sentinel1.gif',
    start_year=2019,
    end_year=2019,
    start_date='04-01',
    end_date='08-01',
    frequency='day',
    vis_params={"min": -30, "max": 0},
    palette="Greys",
    frames_per_second=3,
    title='Sentinel-1 Timelapse',
    add_colorbar=True,
    colorbar_bg_color='gray',
)
geemap.show_image(timelapse)

timelapse = geemap.sentinel1_timelapse( roi, out_gif='sentinel1.gif', start_year=2019, end_year=2019, start_date='04-01', end_date='08-01', frequency='day', vis_params={"min": -30, "max": 0}, palette="Greys", frames_per_second=3, title='Sentinel-1 Timelapse', add_colorbar=True, colorbar_bg_color='gray', ) geemap.show_image(timelapse)

Sentinel-2 timelapse¶

In [ ]:

Map = geemap.Map()
Map

Map = geemap.Map() Map

In [ ]:

roi = Map.user_roi
if roi is None:
    roi = ee.Geometry.BBox(-74.7222, -8.5867, -74.1596, -8.2824)
    Map.addLayer(roi)
    Map.centerObject(roi)

roi = Map.user_roi if roi is None: roi = ee.Geometry.BBox(-74.7222, -8.5867, -74.1596, -8.2824) Map.addLayer(roi) Map.centerObject(roi)

In [ ]:

timelapse = geemap.sentinel2_timelapse(
    roi,
    out_gif='sentinel2.gif',
    start_year=2016,
    end_year=2021,
    start_date='01-01',
    end_date='12-31',
    frequency='year',
    bands=['SWIR1', 'NIR', 'Red'],
    frames_per_second=3,
    title='Sentinel-2 Timelapse',
)
geemap.show_image(timelapse)

timelapse = geemap.sentinel2_timelapse( roi, out_gif='sentinel2.gif', start_year=2016, end_year=2021, start_date='01-01', end_date='12-31', frequency='year', bands=['SWIR1', 'NIR', 'Red'], frames_per_second=3, title='Sentinel-2 Timelapse', ) geemap.show_image(timelapse)

MODIS timelapse¶

MODIS NDVI¶

In [ ]:

Map = geemap.Map()
Map

Map = geemap.Map() Map

In [ ]:

roi = Map.user_roi
if roi is None:
    roi = ee.Geometry.BBox(-18.6983, -36.1630, 52.2293, 38.1446)
    Map.addLayer(roi)
    Map.centerObject(roi)

roi = Map.user_roi if roi is None: roi = ee.Geometry.BBox(-18.6983, -36.1630, 52.2293, 38.1446) Map.addLayer(roi) Map.centerObject(roi)

In [ ]:

timelapse = geemap.modis_ndvi_timelapse(
    roi,
    out_gif='ndvi.gif',
    data='Terra',
    band='NDVI',
    start_date='2000-01-01',
    end_date='2021-12-31',
    frames_per_second=3,
    title='MODIS NDVI Timelapse',
    overlay_data='countries',
)
geemap.show_image(timelapse)

timelapse = geemap.modis_ndvi_timelapse( roi, out_gif='ndvi.gif', data='Terra', band='NDVI', start_date='2000-01-01', end_date='2021-12-31', frames_per_second=3, title='MODIS NDVI Timelapse', overlay_data='countries', ) geemap.show_image(timelapse)

MODIS temperature¶

In [ ]:

Map = geemap.Map()
Map

Map = geemap.Map() Map

In [ ]:

roi = Map.user_roi
if roi is None:
    roi = ee.Geometry.BBox(-171.21, -57.13, 177.53, 79.99)
    Map.addLayer(roi)
    Map.centerObject(roi)

roi = Map.user_roi if roi is None: roi = ee.Geometry.BBox(-171.21, -57.13, 177.53, 79.99) Map.addLayer(roi) Map.centerObject(roi)

In [ ]:

timelapse = geemap.modis_ocean_color_timelapse(
    satellite='Aqua',
    start_date='2018-01-01',
    end_date='2020-12-31',
    roi=roi,
    frequency='month',
    out_gif='temperature.gif',
    overlay_data='continents',
    overlay_color='yellow',
    overlay_opacity=0.5,
)
geemap.show_image(timelapse)

timelapse = geemap.modis_ocean_color_timelapse( satellite='Aqua', start_date='2018-01-01', end_date='2020-12-31', roi=roi, frequency='month', out_gif='temperature.gif', overlay_data='continents', overlay_color='yellow', overlay_opacity=0.5, ) geemap.show_image(timelapse)

GOES timelapse¶

In [ ]:

Map = geemap.Map()
Map

Map = geemap.Map() Map

In [ ]:

roi = Map.user_roi
if roi is None:
    roi = ee.Geometry.BBox(167.1898, -28.5757, 202.6258, -12.4411)
    Map.addLayer(roi)
    Map.centerObject(roi)

roi = Map.user_roi if roi is None: roi = ee.Geometry.BBox(167.1898, -28.5757, 202.6258, -12.4411) Map.addLayer(roi) Map.centerObject(roi)

In [ ]:

start_date = "2022-01-15T03:00:00"
end_date = "2022-01-15T07:00:00"
data = "GOES-17"
scan = "full_disk"

start_date = "2022-01-15T03:00:00" end_date = "2022-01-15T07:00:00" data = "GOES-17" scan = "full_disk"

In [ ]:

timelapse = geemap.goes_timelapse(
    roi, "goes.gif", start_date, end_date, data, scan, framesPerSecond=5
)
geemap.show_image(timelapse)

timelapse = geemap.goes_timelapse( roi, "goes.gif", start_date, end_date, data, scan, framesPerSecond=5 ) geemap.show_image(timelapse)

In [ ]:

roi = ee.Geometry.BBox(-159.5954, 24.5178, -114.2438, 60.4088)
start_date = "2021-10-24T14:00:00"
end_date = "2021-10-25T01:00:00"
data = "GOES-17"
scan = "full_disk"

roi = ee.Geometry.BBox(-159.5954, 24.5178, -114.2438, 60.4088) start_date = "2021-10-24T14:00:00" end_date = "2021-10-25T01:00:00" data = "GOES-17" scan = "full_disk"

In [ ]:

timelapse = geemap.goes_timelapse(
    roi, "hurricane.gif", start_date, end_date, data, scan, framesPerSecond=5
)
geemap.show_image(timelapse)

timelapse = geemap.goes_timelapse( roi, "hurricane.gif", start_date, end_date, data, scan, framesPerSecond=5 ) geemap.show_image(timelapse)

In [ ]:

Map = geemap.Map()
roi = ee.Geometry.BBox(-121.0034, 36.8488, -117.9052, 39.0490)
Map.addLayer(roi)
Map.centerObject(roi)
Map

Map = geemap.Map() roi = ee.Geometry.BBox(-121.0034, 36.8488, -117.9052, 39.0490) Map.addLayer(roi) Map.centerObject(roi) Map

In [ ]:

start_date = "2020-09-05T15:00:00"
end_date = "2020-09-06T02:00:00"
data = "GOES-17"
scan = "full_disk"

start_date = "2020-09-05T15:00:00" end_date = "2020-09-06T02:00:00" data = "GOES-17" scan = "full_disk"

In [ ]:

timelapse = geemap.goes_fire_timelapse(
    roi, "fire.gif", start_date, end_date, data, scan, framesPerSecond=5
)
geemap.show_image(timelapse)

timelapse = geemap.goes_fire_timelapse( roi, "fire.gif", start_date, end_date, data, scan, framesPerSecond=5 ) geemap.show_image(timelapse)

Fading effects¶

In [ ]:

in_gif = "https://i.imgur.com/ZWSZC5z.gif"

in_gif = "https://i.imgur.com/ZWSZC5z.gif"

In [ ]:

geemap.show_image(in_gif)

geemap.show_image(in_gif)

In [ ]:

out_gif = "gif_fading.gif"
geemap.gif_fading(in_gif, out_gif, verbose=False)
geemap.show_image(out_gif)

out_gif = "gif_fading.gif" geemap.gif_fading(in_gif, out_gif, verbose=False) geemap.show_image(out_gif)

In [ ]:

roi = ee.Geometry.BBox(-69.3154, -22.8371, -69.1900, -22.7614)

roi = ee.Geometry.BBox(-69.3154, -22.8371, -69.1900, -22.7614)

In [ ]:

timelapse = geemap.landsat_timelapse(
    roi,
    out_gif='mines.gif',
    start_year=2004,
    end_year=2010,
    frames_per_second=1,
    title='Copper mines, Chile',
    fading=True,
)
geemap.show_image(timelapse)

timelapse = geemap.landsat_timelapse( roi, out_gif='mines.gif', start_year=2004, end_year=2010, frames_per_second=1, title='Copper mines, Chile', fading=True, ) geemap.show_image(timelapse)

Adding animated text¶

Add animated text to an existing GIF¶

In [ ]:

url = 'https://github.com/gee-community/geemap/raw/master/examples/data/animation.gif'
filename = 'animation.gif'
geemap.download_file(url, filename)

url = 'https://github.com/gee-community/geemap/raw/master/examples/data/animation.gif' filename = 'animation.gif' geemap.download_file(url, filename)

In [ ]:

geemap.show_image(filename)

geemap.show_image(filename)

Add animated text to GIF¶

In [ ]:

out_gif = 'timelapse.gif'
geemap.add_text_to_gif(
    filename,
    out_gif,
    xy=('5%', '5%'),
    text_sequence=1984,
    font_size=30,
    font_color='#0000ff',
    duration=100,
)

out_gif = 'timelapse.gif' geemap.add_text_to_gif( filename, out_gif, xy=('5%', '5%'), text_sequence=1984, font_size=30, font_color='#0000ff', duration=100, )

In [ ]:

geemap.show_image(out_gif)

geemap.show_image(out_gif)

Add place name¶

In [ ]:

geemap.add_text_to_gif(
    out_gif, out_gif, xy=('35%', '85%'), text_sequence="Las Vegas", font_color='black'
)

geemap.add_text_to_gif( out_gif, out_gif, xy=('35%', '85%'), text_sequence="Las Vegas", font_color='black' )

In [ ]:

geemap.show_image(out_gif)

geemap.show_image(out_gif)

Create GIF from Earth Engine data¶

Prepare for an ImageCollection¶

In [ ]:

import ee
import geemap

geemap.ee_initialize()

# Define an area of interest geometry with a global non-polar extent.
aoi = ee.Geometry.Polygon(
    [[[-179.0, 78.0], [-179.0, -58.0], [179.0, -58.0], [179.0, 78.0]]], None, False
)

# Import hourly predicted temperature image collection for northern winter
# solstice. Note that predictions extend for 384 hours; limit the collection
# to the first 24 hours.
tempCol = (
    ee.ImageCollection('NOAA/GFS0P25')
    .filterDate('2018-12-22', '2018-12-23')
    .limit(24)
    .select('temperature_2m_above_ground')
)

# Define arguments for animation function parameters.
videoArgs = {
    'dimensions': 768,
    'region': aoi,
    'framesPerSecond': 10,
    'crs': 'EPSG:3857',
    'min': -40.0,
    'max': 35.0,
    'palette': ['blue', 'purple', 'cyan', 'green', 'yellow', 'red'],
}

import ee import geemap geemap.ee_initialize() # Define an area of interest geometry with a global non-polar extent. aoi = ee.Geometry.Polygon( [[[-179.0, 78.0], [-179.0, -58.0], [179.0, -58.0], [179.0, 78.0]]], None, False ) # Import hourly predicted temperature image collection for northern winter # solstice. Note that predictions extend for 384 hours; limit the collection # to the first 24 hours. tempCol = ( ee.ImageCollection('NOAA/GFS0P25') .filterDate('2018-12-22', '2018-12-23') .limit(24) .select('temperature_2m_above_ground') ) # Define arguments for animation function parameters. videoArgs = { 'dimensions': 768, 'region': aoi, 'framesPerSecond': 10, 'crs': 'EPSG:3857', 'min': -40.0, 'max': 35.0, 'palette': ['blue', 'purple', 'cyan', 'green', 'yellow', 'red'], }

Save the GIF to local drive¶

In [ ]:

saved_gif = 'temperature.gif'
geemap.download_ee_video(tempCol, videoArgs, saved_gif)

saved_gif = 'temperature.gif' geemap.download_ee_video(tempCol, videoArgs, saved_gif)

In [ ]:

geemap.show_image(saved_gif)

geemap.show_image(saved_gif)

Generate an hourly text sequence¶

In [ ]:

text = [str(n).zfill(2) + ":00" for n in range(0, 24)]
print(text)

text = [str(n).zfill(2) + ":00" for n in range(0, 24)] print(text)

Add text to GIF¶

In [ ]:

out_gif = 'output2.gif'

out_gif = 'output2.gif'

In [ ]:

geemap.add_text_to_gif(
    saved_gif,
    out_gif,
    xy=('3%', '5%'),
    text_sequence=text,
    font_size=30,
    font_color='#ffffff',
)

geemap.add_text_to_gif( saved_gif, out_gif, xy=('3%', '5%'), text_sequence=text, font_size=30, font_color='#ffffff', )

In [ ]:

geemap.add_text_to_gif(
    out_gif,
    out_gif,
    xy=('32%', '92%'),
    text_sequence='NOAA GFS Hourly Temperature',
    font_color='white',
)

geemap.add_text_to_gif( out_gif, out_gif, xy=('32%', '92%'), text_sequence='NOAA GFS Hourly Temperature', font_color='white', )

In [ ]:

geemap.show_image(out_gif)

geemap.show_image(out_gif)

Adding colorbar to an image¶

Download a GIF¶

In [ ]:

url = 'https://i.imgur.com/MSde1om.gif'
in_gif = 'temp.gif'
geemap.download_file(url, 'temp.gif')

url = 'https://i.imgur.com/MSde1om.gif' in_gif = 'temp.gif' geemap.download_file(url, 'temp.gif')

In [ ]:

geemap.show_image(in_gif)

geemap.show_image(in_gif)

Get image URLs¶

In [ ]:

noaa_logo = 'https://bit.ly/3ahJoMq'
ee_logo = 'https://i.imgur.com/Qbvacvm.jpg'

noaa_logo = 'https://bit.ly/3ahJoMq' ee_logo = 'https://i.imgur.com/Qbvacvm.jpg'

Set output GIF path¶

In [ ]:

out_gif = 'output.gif'

out_gif = 'output.gif'

Add images to GIF¶

In [ ]:

geemap.add_image_to_gif(
    in_gif, out_gif, in_image=noaa_logo, xy=('2%', '80%'), image_size=(80, 80)
)

geemap.add_image_to_gif( in_gif, out_gif, in_image=noaa_logo, xy=('2%', '80%'), image_size=(80, 80) )

In [ ]:

geemap.add_image_to_gif(
    out_gif, out_gif, in_image=ee_logo, xy=('13%', '79%'), image_size=(85, 85)
)

geemap.add_image_to_gif( out_gif, out_gif, in_image=ee_logo, xy=('13%', '79%'), image_size=(85, 85) )

Display output GIF¶

In [ ]:

geemap.show_image(out_gif)

geemap.show_image(out_gif)

Create a colorbar¶

In [ ]:

width = 250
height = 30
palette = ['blue', 'purple', 'cyan', 'green', 'yellow', 'red']
labels = [-40, 35]
colorbar = geemap.create_colorbar(
    width=width,
    height=height,
    palette=palette,
    vertical=False,
    add_labels=True,
    font_size=20,
    labels=labels,
)

width = 250 height = 30 palette = ['blue', 'purple', 'cyan', 'green', 'yellow', 'red'] labels = [-40, 35] colorbar = geemap.create_colorbar( width=width, height=height, palette=palette, vertical=False, add_labels=True, font_size=20, labels=labels, )

In [ ]:

geemap.show_image(colorbar)

geemap.show_image(colorbar)

Add colorbar to GIF¶

In [ ]:

geemap.add_image_to_gif(
    out_gif, out_gif, in_image=colorbar, xy=('69%', '89%'), image_size=(250, 250)
)

geemap.add_image_to_gif( out_gif, out_gif, in_image=colorbar, xy=('69%', '89%'), image_size=(250, 250) )

In [ ]:

geemap.show_image(out_gif)

geemap.show_image(out_gif)

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Last update: 2023-04-06
Created: 2022-11-19