Visualizing time series

In [1]:

import ee
import geemap

import ee import geemap

In [2]:

# geemap.update_package()

# geemap.update_package()

Visualizing weather data¶

In [3]:

Map = geemap.Map()

collection = (
    ee.ImageCollection('NOAA/GFS0P25')
    .filterDate('2018-12-22', '2018-12-23')
    .limit(24)
    .select('temperature_2m_above_ground')
)

vis_params = {
    'min': -40.0,
    'max': 35.0,
    'palette': ['blue', 'purple', 'cyan', 'green', 'yellow', 'red'],
}

first_image = collection.first()

Map.addLayer(first_image, vis_params, "First image")
Map.setCenter(-0.3490, 25.7900, 2)
Map

Map = geemap.Map() collection = ( ee.ImageCollection('NOAA/GFS0P25') .filterDate('2018-12-22', '2018-12-23') .limit(24) .select('temperature_2m_above_ground') ) vis_params = { 'min': -40.0, 'max': 35.0, 'palette': ['blue', 'purple', 'cyan', 'green', 'yellow', 'red'], } first_image = collection.first() Map.addLayer(first_image, vis_params, "First image") Map.setCenter(-0.3490, 25.7900, 2) Map

Out[3]:

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In [4]:

image = collection.toBands()
Map.addLayer(image, {}, "Time series", False)

image = collection.toBands() Map.addLayer(image, {}, "Time series", False)

In [5]:

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

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

Out[5]:

['00:00',
 '01:00',
 '02:00',
 '03:00',
 '04:00',
 '05:00',
 '06:00',
 '07:00',
 '08:00',
 '09:00',
 '10:00',
 '11:00',
 '12:00',
 '13:00',
 '14:00',
 '15:00',
 '16:00',
 '17:00',
 '18:00',
 '19:00',
 '20:00',
 '21:00',
 '22:00',
 '23:00']

In [6]:

Map.add_time_slider(collection, vis_params, labels=labels, time_interval=1)
Map

Map.add_time_slider(collection, vis_params, labels=labels, time_interval=1) Map

The folium plotting backend does not support this function.

Out[6]:

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Visualizing vegetation data¶

In [7]:

Map = geemap.Map()

collection = (
    ee.ImageCollection('MODIS/MCD43A4_006_NDVI')
    .filter(ee.Filter.date('2018-04-01', '2018-05-01'))
    .select("NDVI")
)
vis_params = {
    'min': 0.0,
    'max': 1.0,
    'palette': [
        'FFFFFF',
        'CE7E45',
        'DF923D',
        'F1B555',
        'FCD163',
        '99B718',
        '74A901',
        '66A000',
        '529400',
        '3E8601',
        '207401',
        '056201',
        '004C00',
        '023B01',
        '012E01',
        '011D01',
        '011301',
    ],
}

first_image = collection.first()

Map.addLayer(first_image, vis_params, "First image")
Map.setCenter(-7.03125, 31.0529339857, 2)
Map

Map = geemap.Map() collection = ( ee.ImageCollection('MODIS/MCD43A4_006_NDVI') .filter(ee.Filter.date('2018-04-01', '2018-05-01')) .select("NDVI") ) vis_params = { 'min': 0.0, 'max': 1.0, 'palette': [ 'FFFFFF', 'CE7E45', 'DF923D', 'F1B555', 'FCD163', '99B718', '74A901', '66A000', '529400', '3E8601', '207401', '056201', '004C00', '023B01', '012E01', '011D01', '011301', ], } first_image = collection.first() Map.addLayer(first_image, vis_params, "First image") Map.setCenter(-7.03125, 31.0529339857, 2) Map

Out[7]:

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In [8]:

image = collection.toBands()
Map.addLayer(image, {}, "Time series", False)

image = collection.toBands() Map.addLayer(image, {}, "Time series", False)

In [9]:

labels = collection.aggregate_array("system:index").getInfo()
Map.add_time_slider(collection, vis_params, labels=labels, time_interval=1)

labels = collection.aggregate_array("system:index").getInfo() Map.add_time_slider(collection, vis_params, labels=labels, time_interval=1)

The folium plotting backend does not support this function.

Visualizing Landsat imagery¶

In [10]:

Map = geemap.Map()

bands = ['B1', 'B2', 'B3', 'B4', 'B5', 'B7']
image = ee.Image('LE7_TOA_5YEAR/1999_2003').select(bands)
vis_params = {'min': 20, 'max': 200, 'gamma': 2.0}

Map.add_time_slider(image, vis_params, labels=bands, time_interval=1)

Map

Map = geemap.Map() bands = ['B1', 'B2', 'B3', 'B4', 'B5', 'B7'] image = ee.Image('LE7_TOA_5YEAR/1999_2003').select(bands) vis_params = {'min': 20, 'max': 200, 'gamma': 2.0} Map.add_time_slider(image, vis_params, labels=bands, time_interval=1) Map

The folium plotting backend does not support this function.

Out[10]:

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Last update: 2022-03-25