Rainbow Spectrum Topology Map to Heightmap Grayscale.

In summary, a Rainbow Spectrum Topology Map is a visualization tool that uses a color spectrum to represent variations in elevation. It is created using data from a digital elevation model and can be useful for various purposes. However, it may not accurately represent other features and caution should be taken when interpreting the data.
  • #1
BrockLee
31
0
Hello,
I am working with python's Image Library (PIL), Sympy, and Matlab. I have a topographical map of the earth, ( see 3d warehouse from google ). I am wondering if with an rgb matrix from a jpeg heightmap is traditionally the value of black and white ignored, because it seems that the shallow depths of the ocean(light blue) is above the inland beachs(dark orange). I simply converted the 1440x720 rectangle image into a grayscale square with:
aTopoMap=imread('3dHH-earth-topo-1440f960-mm2km/texture1.jpg')
aGsTopo=sparse(1440,1440)
aInc=1
while(aInc<=720)
aRedMatrixRow=char(aTopoMap(ceil(aInc/2),:,1))*2
aGreenMatrixRow=char(aTopoMap(ceil(aInc/2),:,2))
aBlueMatrixRow=char(aTopoMap(ceil(aInc/2),:,3))*-1
aGsTopo(aInc,1:1440)=aRedMatrixRow + aGreenMatrixRow + aBlueMatrixRow
aInc=aInc+1
end

any help would be greatly appreciated
 
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  • #2


Hello,

Thank you for sharing your project and question. It sounds like you are using a combination of different programming languages and libraries to work with a topographical map of the earth. It is not uncommon to use multiple tools to achieve a desired result, so that is great to see.

In regards to your question about the value of black and white being ignored in the RGB matrix from a JPEG heightmap, it really depends on how the data was collected and processed. In general, the color black represents a lower altitude or depth, while white represents a higher altitude or elevation. However, it is possible that the data used to create the heightmap was normalized or adjusted in some way, which could result in the shallow depths of the ocean appearing as a lighter color compared to the inland beaches.

It may be helpful to consult the documentation or data source for the heightmap to better understand how the data was processed and what the color values represent. Additionally, you may want to experiment with different color mappings or adjustments in your code to see if you can achieve a more accurate representation of the topography.

I hope this information helps and I wish you success in your project. Keep up the great work!
 

Related to Rainbow Spectrum Topology Map to Heightmap Grayscale.

1. What is a Rainbow Spectrum Topology Map?

A Rainbow Spectrum Topology Map is a visualization tool used to represent the elevation or height of a geographic area. It uses a color spectrum to show variations in height, with higher elevations represented by warmer colors (red, orange, yellow) and lower elevations represented by cooler colors (green, blue, purple).

2. How is a Rainbow Spectrum Topology Map created?

A Rainbow Spectrum Topology Map is created using data from a digital elevation model (DEM). This data is processed and converted into a grid of pixels, with each pixel representing a specific elevation. The colors are then assigned to each pixel based on its elevation and a rainbow spectrum is applied to create the final map.

3. What is a Heightmap Grayscale?

A Heightmap Grayscale is a type of elevation map that uses shades of gray to represent different elevations. Similar to a Rainbow Spectrum Topology Map, higher elevations are represented by lighter shades of gray and lower elevations are represented by darker shades.

4. How can a Rainbow Spectrum Topology Map be useful?

A Rainbow Spectrum Topology Map can be useful for a variety of purposes, including land surveying, urban planning, and environmental analysis. It can also be used to identify potential areas for hiking, skiing, or other recreational activities based on the terrain.

5. Are there any limitations to using a Rainbow Spectrum Topology Map?

While a Rainbow Spectrum Topology Map can provide valuable information about the elevation of a geographic area, it may not accurately represent other features such as vegetation, water bodies, or man-made structures. It is important to use caution when interpreting the data from a Rainbow Spectrum Topology Map and to consider other factors when making decisions based on the map.

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