Create Timelapse from Satellite and Aerial Imagery¶

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# !pip install -U geemap leafmap ffmpeg-python

# !pip install -U geemap leafmap ffmpeg-python

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import ee
import geemap

import ee import geemap

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m = geemap.Map()
m.add_basemap("Esri.WorldImagery")
m

m = geemap.Map() m.add_basemap("Esri.WorldImagery") m

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if m.user_roi is not None:
    bbox = m.user_roi_coords()
else:
    bbox = [-99.1417, 46.5602, -99.1213, 46.5813]

if m.user_roi is not None: bbox = m.user_roi_coords() else: bbox = [-99.1417, 46.5602, -99.1213, 46.5813]

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bbox = ee.Geometry.Rectangle(bbox)
m.center_object(bbox)

bbox = ee.Geometry.Rectangle(bbox) m.center_object(bbox)

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collection = geemap.naip_timeseries(bbox, start_year=2009)
collection.size()

collection = geemap.naip_timeseries(bbox, start_year=2009) collection.size()

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first = collection.first()
m.add_layer(first, {}, "First Image")

first = collection.first() m.add_layer(first, {}, "First Image")

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dates = geemap.image_dates(collection).getInfo()
years = [date.split("-")[0] for date in dates]
years

dates = geemap.image_dates(collection).getInfo() years = [date.split("-")[0] for date in dates] years

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m.add_time_slider(
    collection, {"bands": ["N", "R", "G"]}, labels=years, time_interval=1, opacity=0.8
)

m.add_time_slider( collection, {"bands": ["N", "R", "G"]}, labels=years, time_interval=1, opacity=0.8 )

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# geemap.ee_export_image_collection_to_drive(
#     collection,
#     descriptions=dates,
#     folder="naip",
#     region=bbox,
#     scale=1,
#     crs="EPSG:26914",
# )

# geemap.ee_export_image_collection_to_drive( # collection, # descriptions=dates, # folder="naip", # region=bbox, # scale=1, # crs="EPSG:26914", # )

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geojson = "https://huggingface.co/datasets/giswqs/geospatial/resolve/main/wetlands/nwi_wetlands_dissolved.geojson"

geojson = "https://huggingface.co/datasets/giswqs/geospatial/resolve/main/wetlands/nwi_wetlands_dissolved.geojson"

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fc = geemap.geojson_to_ee(geojson)

fc = geemap.geojson_to_ee(geojson)

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geemap.naip_timelapse(
    bbox,
    start_year=2009,
    bands=["R", "G", "B"],
    progress_bar_color="blue",
    out_gif="NAIP_RGB.gif",
    mp4=True,
)

geemap.naip_timelapse( bbox, start_year=2009, bands=["R", "G", "B"], progress_bar_color="blue", out_gif="NAIP_RGB.gif", mp4=True, )

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geemap.naip_timelapse(
    bbox,
    start_year=2009,
    bands=["R", "G", "B"],
    overlay_data=fc,
    overlay_color="red",
    overlay_width=2,
    progress_bar_color="blue",
    out_gif="NAIP_RGB_overlay.gif",
    mp4=True,
)

geemap.naip_timelapse( bbox, start_year=2009, bands=["R", "G", "B"], overlay_data=fc, overlay_color="red", overlay_width=2, progress_bar_color="blue", out_gif="NAIP_RGB_overlay.gif", mp4=True, )

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geemap.naip_timelapse(
    bbox,
    start_year=2009,
    bands=["N", "R", "G"],
    progress_bar_color="blue",
    out_gif="NAIP_NIR.gif",
    mp4=True,
)

geemap.naip_timelapse( bbox, start_year=2009, bands=["N", "R", "G"], progress_bar_color="blue", out_gif="NAIP_NIR.gif", mp4=True, )

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geemap.naip_timelapse(
    bbox,
    start_year=2009,
    bands=["N", "R", "G"],
    overlay_data=fc,
    overlay_color="yellow",
    overlay_width=2,
    progress_bar_color="blue",
    out_gif="NAIP_NIR_overlay.gif",
    mp4=True,
)

geemap.naip_timelapse( bbox, start_year=2009, bands=["N", "R", "G"], overlay_data=fc, overlay_color="yellow", overlay_width=2, progress_bar_color="blue", out_gif="NAIP_NIR_overlay.gif", mp4=True, )