Im trying to use planet labs skysat ortho rgb high res satellite to give me an overlayed raster but cant come up with anything: Here is my code;
parameters for Image collection
lc = ee.ImageCollection('SKYSAT/GEN-A/PUBLIC/ORTHO/MULTISPECTRAL')
i_date = '2014-08-03'
lc_img = lc.select(['N', 'G', 'B']).filterDate(i_date).first()
Initialization block
# Set visualization parameters for land cover.
lc_vis_params = {
'min':200.0,
'max':6000.0,
}
# Create a map.
lat, lon = -70.892, 41.6555
my_map = folium.Map(location=[lat, lon], zoom_start=7)
# Add the land cover to the map object.
my_map.add_ee_layer(lc_img, lc_vis_params, 'RGB')
# Add a layer control panel to the map.
my_map.add_child(folium.LayerControl())
# Display the map.
display(my_map)
this is the error Im getting
---------------------------------------------------------------------------
HttpError Traceback (most recent call last)
/usr/local/lib/python3.7/dist-packages/ee/data.py in _execute_cloud_call(call, num_retries)
329 try:
--> 330 return call.execute(num_retries=num_retries)
331 except googleapiclient.errors.HttpError as e:
6 frames
HttpError: <HttpError 400 when requesting https://earthengine.googleapis.com/v1alpha/projects/earthengine-legacy/maps?fields=name&alt=json returned "Image.visualize: Parameter 'image' is required.". Details: "Image.visualize: Parameter 'image' is required.">
During handling of the above exception, another exception occurred:
EEException Traceback (most recent call last)
/usr/local/lib/python3.7/dist-packages/ee/data.py in _execute_cloud_call(call, num_retries)
330 return call.execute(num_retries=num_retries)
331 except googleapiclient.errors.HttpError as e:
--> 332 raise _translate_cloud_exception(e)
333
334
EEException: Image.visualize: Parameter 'image' is required.
The date interval appears to be the issue, as there are no images available.
I made a few changes in order to run your code:
lc = ee.ImageCollection('SKYSAT/GEN-A/PUBLIC/ORTHO/MULTISPECTRAL').filterDate(i_date,i_date2)
i_date = '2014-01-01'
i_date2 = '2014-12-01'
lc_img = lc.first().select(['N', 'G', 'B'])
# Set visualization parameters for land cover.
lc_vis_params = {
'min':200.0,
'max':6000.0,
}
# Create a map.
lat, lon = -70.892, 41.6555
my_map = folium.Map(location=[lat, lon], zoom_start=7)
print(lc.size().getInfo()) # quantity of images for the period
# Add the land cover to the map object.
#my_map.add_ee_layer(lc_img, lc_vis_params, 'RGB') "Sorry, i don't have the add_ee_layer function :)"
mapid = lc_img.getMapId(lc_vis_params)
folium.TileLayer(
tiles=mapid['tile_fetcher'].url_format,
attr='False Color',
overlay=True,
name='False Color',
).add_to(my_map)
my_map