62 time slider

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import ee
import geemap

import ee import geemap

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# geemap.update_package()

# geemap.update_package()

Visualizing weather data¶

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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", False)
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", False) Map.setCenter(-0.3490, 25.7900, 2) Map

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

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

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Map.add_time_slider(collection, vis_params, labels=labels, time_interval=1, opacity=0.8)

Map.add_time_slider(collection, vis_params, labels=labels, time_interval=1, opacity=0.8)

Visualizing vegetation data¶

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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", False)
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", False) Map.setCenter(-7.03125, 31.0529339857, 2) Map

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

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

Visualizing Landsat imagery¶

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Map = geemap.Map()

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

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

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

Visualizing Sentinel-2 imagery¶

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Map = geemap.Map(center=[37.75, -122.45], zoom=12)

S2 = (
    ee.ImageCollection("COPERNICUS/S2_SR")
    .filterBounds(ee.Geometry.Point([-122.45, 37.75]))
    .filterMetadata("CLOUDY_PIXEL_PERCENTAGE", "less_than", 10)
)

vis_params = {"min": 0, "max": 4000, "bands": ["B8", "B4", "B3"]}

Map.addLayer(S2, {}, "Sentinel-2", False)
Map.add_time_slider(S2, vis_params)
Map

Map = geemap.Map(center=[37.75, -122.45], zoom=12) S2 = ( ee.ImageCollection("COPERNICUS/S2_SR") .filterBounds(ee.Geometry.Point([-122.45, 37.75])) .filterMetadata("CLOUDY_PIXEL_PERCENTAGE", "less_than", 10) ) vis_params = {"min": 0, "max": 4000, "bands": ["B8", "B4", "B3"]} Map.addLayer(S2, {}, "Sentinel-2", False) Map.add_time_slider(S2, vis_params) Map