bluemarble is too dark

When I generate a map with a background generated via Basemap.bluemarble(),
the background is extremely dark. Is there any way to get a
lighter/brighter version? (I've looked at all of the available parameters,
but none of them seems to allow for adjustment of the luminance).

···

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Hi,

2009/12/14 Dr. Phillip M. Feldman <pfeldman@…2898…>

When I generate a map with a background generated via Basemap.bluemarble(),

the background is extremely dark. Is there any way to get a

lighter/brighter version? (I’ve looked at all of the available parameters,

but none of them seems to allow for adjustment of the luminance).

I find this problem when generating a PDF and viewing it in Linux,but the on-screen version seems to work fine. One reason for your darkness might be the actual bluemarble scene. There is one for every month <http://earthobservatory.nasa.gov/Features/BlueMarble/>, so you can have a look at the different month and pick u which is better for your area/application. Another thing you can do is to modify the bluemarble that comes with matplotlib using the gimp, as it is just an image file you can edit easily. Starts looking like data cooking, tho’ :wink:

J

Hello Jose-

I searched the Python installation on my computer, but have not been able to find the bluemarble image.

I also followed the link that you provided, but didn't find any images that cover the entire surface of the Earth.

Python Developers-

I'd really like to have an option in Basemap.bluemarble() to select from a set of images, rather than just having a single hardwired image.

Phillip

Jose Gomez-Dans wrote:

···

Hi,

2009/12/14 Dr. Phillip M. Feldman <pfeldman@…2440… <mailto:pfeldman@…2440…>>

    When I generate a map with a background generated via
    Basemap.bluemarble(),
    the background is extremely dark. Is there any way to get a
    lighter/brighter version? (I've looked at all of the available
    parameters,
    but none of them seems to allow for adjustment of the luminance).

I find this problem when generating a PDF and viewing it in Linux,but the on-screen version seems to work fine. One reason for your darkness might be the actual bluemarble scene. There is one for every month <http://earthobservatory.nasa.gov/Features/BlueMarble/>, so you can have a look at the different month and pick u which is better for your area/application. Another thing you can do is to modify the bluemarble that comes with matplotlib using the gimp, as it is just an image file you can edit easily. Starts looking like data cooking, tho' :wink:

J

Phillip M. Feldman wrote:

Hello Jose-

I searched the Python installation on my computer, but have not been able to find the bluemarble image.

I also followed the link that you provided, but didn't find any images that cover the entire surface of the Earth.

Python Developers-

I'd really like to have an option in Basemap.bluemarble() to select from a set of images, rather than just having a single hardwired image.
  
You already can.

See the documentation for the warpimage method at http://matplotlib.sourceforge.net/basemap/doc/html/api/basemap_api.html.

-Jeff

···

Phillip

Jose Gomez-Dans wrote:
  

Hi,

2009/12/14 Dr. Phillip M. Feldman <pfeldman@…2440… <mailto:pfeldman@…2440…>>

    When I generate a map with a background generated via
    Basemap.bluemarble(),
    the background is extremely dark. Is there any way to get a
    lighter/brighter version? (I've looked at all of the available
    parameters,
    but none of them seems to allow for adjustment of the luminance).

I find this problem when generating a PDF and viewing it in Linux,but the on-screen version seems to work fine. One reason for your darkness might be the actual bluemarble scene. There is one for every month <http://earthobservatory.nasa.gov/Features/BlueMarble/>, so you can have a look at the different month and pick u which is better for your area/application. Another thing you can do is to modify the bluemarble that comes with matplotlib using the gimp, as it is just an image file you can edit easily. Starts looking like data cooking, tho' :wink:

J