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Remote Sensing Satellite Colors

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Sky Blue #87CEEB
Forest Green #228B22
Earth Brown #8B4513
Urban Gray #A9A9A9
Sunlit Yellow #FFD700
Ocean Teal #008080
Desert Sand #EDC9AF
Mountain Slate #6A5ACD
Agricultural Gold #DAA520
#87CEEB Sky Blue
#228B22 Forest Green
#8B4513 Earth Brown
#A9A9A9 Urban Gray
#FFD700 Sunlit Yellow
#008080 Ocean Teal
#EDC9AF Desert Sand
#6A5ACD Mountain Slate
#DAA520 Agricultural Gold

Remote Sensing Satellite Colors

About This Color Palette

Sure! Let’s expand the color palette to include a total of nine colors that reflect the theme of remote sensing satellite images from 2023. Here’s the updated color palette:

 <Remote Sensing Satellite Colors>
1. Sky Blue - 
                            
                            #87CEEB
                         - Represents clear skies and water bodies.
2. Forest Green - 
                            
                            #228B22
                         - Symbolizes rich vegetation and forests.
3. Earth Brown - 
                            
                            #8B4513
                         - Evokes the color of soil and land.
4. Urban Gray - 
                            
                            #A9A9A9
                         - Reflects urban areas and infrastructure.
5. Sunlit Yellow - 
                            
                            #FFD700
                         - Captures bright highlights and sunlight.
6. Ocean Teal - 
                            
                            #008080
                         - Represents deep ocean waters and coastal areas.
7. Desert Sand - 
                            
                            #EDC9AF
                         - Evokes arid landscapes and sandy regions.
8. Mountain Slate - 
                            
                            #6A5ACD
                         - Symbolizes rocky terrains and mountain ranges.
9. Agricultural Gold - 
                            
                            #DAA520
                         - Reflects fields of crops and agricultural lands.

This expanded color palette provides a broader representation of the various landscapes and features captured in satellite imagery, making it suitable for a wide range of applications, from data visualization to geographic mapping.

Would you like any specific examples of how to use this palette, or do you have other preferences in mind?

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Design Trends

The Future of Color

Color trends are evolving rapidly. We are seeing a shift towards more vibrant, expressive palettes that capture attention and evoke emotion.

"Color is a power which directly influences the soul."

Why it matters

Choosing the right color palette is crucial for brand identity. It communicates values without words and creates an instant connection with the audience.

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Composition #01

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Simulate how your palette appears to users with different types of color vision deficiencies. Approximately 8% of men and 0.5% of women have some form of color blindness.

Original Palette

Protanopia

Red-blind (approx. 1% of men)

Deuteranopia

Green-blind (approx. 1% of men)

Tritanopia

Blue-blind (very rare)

Achromatopsia

Total color blindness (monochromacy)

Sky Blue

#87CEEB

Forest Green

#228B22

Earth Brown

#8B4513

Urban Gray

#A9A9A9

Sunlit Yellow

#FFD700

Ocean Teal

#008080

Desert Sand

#EDC9AF

Mountain Slate

#6A5ACD

Agricultural Gold

#DAA520

Color Wheel Distribution

Harmony Analysis

Dominant Temperature

--

Harmony Type

--

Analyzing color relationships...

Color Values (HSL)

Select Background

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Contrast Analysis

Aa

The quick brown fox jumps over the lazy dog.

Contrast Ratio --

Normal Text

WCAG AA --
WCAG AAA --

Large Text

WCAG AA --
WCAG AAA --

Understanding WCAG Scores

Normal Text

  • AA requires 4.5:1 ratio
  • AAA requires 7.0:1 ratio

Large Text (18pt+ or 14pt+ bold)

  • AA requires 3.0:1 ratio
  • AAA requires 4.5:1 ratio

What would you like to do?

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Update Your Palette

Current Palette

Sky Blue
Forest Green
Earth Brown
Urban Gray
Sunlit Yellow
Ocean Teal
Desert Sand
Mountain Slate
Agricultural Gold

Remote Sensing Satellite Colors

Try these examples: