Showing satellite images within 6 hours

satellite_3hours_images.py

map = gis.map()
map.add_layer(landsat_data) # printing the whole data on the map

# Selecting the imageries collected on a single day from 2020-08-01 00:00:00 to 2020-08-02 00:00:00
features = landsat_data.layers[0].query(time_filter=[datetime(2020,8,1,00,00,00),datetime(2020,8,2,00,00,00)], order_by_fields="AcquisitionDate")
features # <FeatureSet> 375 features, or imageries collected on a single day
features.sdf.head() # sdf converts it into a spatial data frame, prints first 5 rows of the dataframe

# printing the imageries on the map
map = gis.map()
map.add_layer(features)

Landsat 8 orbits one rotation around earth in 99 minutes, in a sun-synchronous orbit, to capture imageries in day sunlight. It takes 16 days for the satellite to cover one full rotation and take a whole picture of the earth. The above code snippet shows the images captured within 6 hours, prints them as a dataframe, and shows them on the map.

Unlike above one, if we print the whole landsat data on the map, then it uses the data collected for all the 16 days and prints them on the map.