Changes between Version 5 and Version 6 of WikiStart

Timestamp:

Jul 26, 2018 1:57:00 PM (7 years ago)

Author:

Uriel

Comment:

--

WikiStart

@@ -25 +25 @@
 '''Filling in the gaps:''' Areas of the world which are entirely ocean have no corresponding SRTM file, but Maperitive will try to download the file anyway. The fix for this was to generate all-zero height files for any lat/long missing from the downloaded data set. The Python script fill_terrain_tiles.py automates this process. The filled-in datasets are on the USB drive in the folders SRTMGL1_full and SRTMGL3_full
 
-'''Linking the SRTM to Maperitive:''' In order for Maperitive to find the SRTM data, it must be placed in the correct folder: {{{X:\Maperitive\Cache\Rasters\SRTM1}}} or {{{X:\Maperitive\Cache\Rasters\SRTM3}}}. On the USB drive, this is performed by creating a softlink to the SRTMGLx_full folder, rather than making another copy of the file. You can use the windows utility [https://docs.microsoft.com/en-us/windows-server/administration/windows-commands/mklink mklink] to do this; it can be run from the command prompt.
+'''Linking the SRTM to Maperitive:''' In order for Maperitive to find the SRTM data, it must be placed in the correct folder: {{{X:\Maperitive\Cache\Rasters\SRTM1}}} or {{{X:\Maperitive\Cache\Rasters\SRTM3}}}. On the USB drive, this is performed by creating a softlink to the SRTMGLx_full folder, rather than making another copy of the dataset. You can use the windows utility [https://docs.microsoft.com/en-us/windows-server/administration/windows-commands/mklink mklink] to do this; it can be run from the command prompt.
 
 To use the data in Maperitive, you must enter the command {{{set-dem-source name=SRTM1}}} or {{{set-dem-source name=SRTM3}}}.
@@ -36 +36 @@
 
 Black is the default color for shading but it can be set to other colors.
+
+== Other Utilities
+
+=== GDAL
+[http://www.gdal.org/ GDAL], the Geospatial Data Abstraction Library, is a set of executables and python scripts which can be used to manipulate geo-referenced data in a lot of different ways. This includes the raw SRTM data as well as images (such as terrain shaded png files).
+
+When Maperitive saves an image of the map as a PNG (''not'' a web tile), it also generates a .georef text file which contains the coordinate bounds and size of the image. Unfortunately, GDAL uses a similar file in a different coordinate format, called an ESRI world file. Image.png should have a cooresponding worldfile Image.pngw. The python script convert_georef.py can be used to read in a folder of Maperitive .georef files and output ESRI worldfiles. Then GDAL tools can be used to manipulate the images.