'EEException: Image.visualize: Parameter 'image' is required

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.


Solution 1:[1]

what I did: change the lc_img = lc.select(['N', 'G', 'B']).filterDate(i_date).first() to store a variable lz like so lz = lc.mean() then initialize you're parameters lc_img = lz.select(['N', 'B', 'I'])

lc_vis_params = {
    'min':200.0,
    'max':6000.0,
}

# Create a map.
lat, lon = 41.6555 ,-70.892
my_map = folium.Map(location=[lat, lon], zoom_start=7)

# Add the land cover to the map object.
my_map.add_ee_layer(lz, lc_vis_params, 'False Color')
# Add a layer control panel to the map.
my_map.add_child(folium.LayerControl())
# Display the map.
display(my_map)

Now the raster should be visualized

Solution 2:[2]

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

Solution 3:[3]

So this is a very simple process, first go to the menu, and create a menu with customlinks, then the url part of the menu item you will put: https://siteUrl/page#sectionID

Now go into elementor, and go to the section to which you want to scroll down when someone clicked on the nav link in the nav, go to advance, and give it a CSS ID value the same as the value of sectionID.

Sources

This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.

Source: Stack Overflow

Solution Source
Solution 1
Solution 2
Solution 3 E_net4 - Mr Downvoter