90 naip timelapse

Uncomment the following line to install geemap if needed.

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# !pip install geemap

# !pip install geemap

In [ ]:

import ee
import geemap

import ee import geemap

If run into errors, uncomment the following line to update the package and restart the kernel to take effect.

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# geemap.update_package()

# geemap.update_package()

In [ ]:

Map = geemap.Map()
Map

Map = geemap.Map() Map

Create a region of interest.

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region = ee.Geometry.Polygon(
    [
        [
            [-99.101934, 47.12745],
            [-99.101934, 47.156232],
            [-99.033441, 47.156232],
            [-99.033441, 47.12745],
            [-99.101934, 47.12745],
        ]
    ]
)

region = ee.Geometry.Polygon( [ [ [-99.101934, 47.12745], [-99.101934, 47.156232], [-99.033441, 47.156232], [-99.033441, 47.12745], [-99.101934, 47.12745], ] ] )

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Map.addLayer(region)
Map.centerObject(region)

Map.addLayer(region) Map.centerObject(region)

Create a timeseries

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collection = geemap.naip_timeseries(region, RGBN=True)

collection = geemap.naip_timeseries(region, RGBN=True)

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images = collection.toList(collection.size())

images = collection.toList(collection.size())

Get image dates

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dates = geemap.image_dates(collection).getInfo()

dates = geemap.image_dates(collection).getInfo()

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size = images.size().getInfo()

size = images.size().getInfo()

Add images to the map

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for i in range(size):
    image = ee.Image(images.get(i))
    Map.addLayer(image, {'bands': ['N', 'R', 'G']}, dates[i][:4])

for i in range(size): image = ee.Image(images.get(i)) Map.addLayer(image, {'bands': ['N', 'R', 'G']}, dates[i][:4])

Create s timelapse

In [ ]:

timelapse = geemap.naip_timelapse(
    region, out_gif="naip.gif", bands=['N', 'R', 'G'], frames_per_second=3, mp4=True
)
geemap.show_image(timelapse)

timelapse = geemap.naip_timelapse( region, out_gif="naip.gif", bands=['N', 'R', 'G'], frames_per_second=3, mp4=True ) geemap.show_image(timelapse)

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Last update: 2023-03-19
Created: 2020-03-31