Color models used for the visual interpretation of satellite data

2021 ◽  
Vol 5 ◽  
pp. 44-51
Author(s):  
Georgi Jelev
Keyword(s):  
Satellite Imagery ◽  
False Colour Composite ◽  
Earth Surface ◽  
Visual Interpretation ◽  
Composite Image ◽  
Spectral Bands ◽  
The Earth ◽  
Different Types ◽  
Colour Composite ◽  
False Colour

This study presents the possibilities for using different colour models for visual interpretation of satellite imagery. Using the RGB model to visualise different spectral bands as a false colour composite image make it possible for different types of objects and features on the Earth surface to be highlighted and easily discerned based on their specific colour. Examples are shown based on satellite imagery from several free sources, e.g. the USGS’s Earth Explorer, the ESA’s Copernicus Open Access Hub, etc.

scholarly journals Land-use Mapping by Satellite Imagery

Geografie ◽  
1993 ◽  
Vol 98 (3) ◽  
pp. 170-178
Author(s):  
Miroslav Koželuh
Keyword(s):  
Land Use ◽  
Satellite Imagery ◽  
Mapping Method ◽  
False Colour Composite ◽  
Landsat Tm ◽  
Visual Interpretation ◽  
Southern Moravia ◽  
Colour Composite ◽  
False Colour ◽  
Land Use Maps

The land-use mapping method based on the interpretation of satellite imagery is described. Out of various processes applied for obtaining the information on parcelation and thematic contents of the land-use map, the visual interpretation of multispectral false colour composite (FCC) of LANDSAT TM was used. The practical applicability of this method has been verified by the construction of land-use maps on the scales 1 : 50 000 and 1 : 200 000 on the territory of Southern Moravia.

scholarly journals Application of nonlinear colour enhancement on transparencies for interpretation of glacier surface characteristics

1992 ◽  
Vol 16 ◽  
pp. 190-192
Author(s):  
Cao Meisheng ◽  
Mi Desheng ◽  
Pu Yinbin ◽  
Liu Jinghaung
Keyword(s):  
Surface Characteristics ◽  
False Colour Composite ◽  
High Contrast ◽  
Glacier Surface ◽  
Ice Surface ◽  
Grey Scale ◽  
Scale Range ◽  
Colour Composite ◽  
Channel Image ◽  
False Colour

According to the analysis of grey scale range on MSS-4, -5, -6 and -7 channel image films for five snow-ice categories on glacier surface, the grey scale among snow, bare ice, ice pinnacle, moraine-covered ice surface and gully bed has been spread nonlinearly by using duplicative processing on high-contrast film. As a result of the rescaling of grey levels, the colour differences of morphological features of Rongbu Glacier in the Qpmolangma region have been increased on false colour composite photography. It is also shown that using MSS-6 to composite false colour images compared to MSS-5 will supply more information for the interpretation of the glacier area.

scholarly journals Signature capture of red soil patches and their acidity-A case study of Banka district, Bihar, India

2016 ◽  
Vol 8 (2) ◽  
pp. 874-878
Author(s):  
Binod K. Vimal ◽  
Rajkishore Kumar ◽  
C. D. Choudhary ◽  
Sunil Kumar ◽  
Rakesh Kumar ◽  
...  
Keyword(s):  
Spectral Band ◽  
Satellite Image ◽  
Geographical Area ◽  
Principal Component ◽  
Red Soil ◽  
Visual Interpretation ◽  
Spectral Bands ◽  
Total Geographical Area ◽  
Colour Composite ◽  
Soil Patch

Colour in soils as well as other object is the visual perceptual property which is perceived by human eye. They are governed by spectrum of light corresponding to wavelength or reflected energy of the material. Developed model for soil acidity is based on visual interpretation, principal component and spectral enhancement techniques by using of the satellite image (IRS LISS III, 2014). In this context, red soil patch is much sensitive in red spectral band comparison to green and blue spectral bands and perceived as red tone by human eyes but same soil patch appears green in false colour composite (FCC) image of NIR (0.70-0.80μm), Red (0.60-0.70 μm) and Green (0.50-0.60μm) bands. The maximum coverage of red soil patches having low pH < 6.5 (1:2.5) was recognized in 44.07 per cent of the total geographical area (3019.56 sq.km) under Banka district. Maximum red soil patches having their acidity were recognised in Katoria (18.56%), Chanan (15.15%), Bounsi (10.44%) and Banka (9.92%) blocks. Overall results indicated that variation of tone in different bands helps for the separation of red soil patches.

A technique for generating natural colour images from false colour composite images

2006 ◽  
Vol 27 (14) ◽  
pp. 2977-2989 ◽  
Author(s):  
S. K. Patra ◽  
Manish Shekher ◽  
S. S. Solanki ◽  
R. Ramachandran ◽  
R. Krishnan
Keyword(s):  
False Colour Composite ◽  
Colour Composite ◽  
False Colour

scholarly journals How to Recognize Different Types of Trees from Quite a Long Way Away: Combining UAV and Spaceborne Imagery for Stand-Level Tree Species Identification

2021 ◽  
Author(s):  
Adam H Sprott ◽  
Joseph M Piwowar
Keyword(s):  
Tree Species ◽  
Environmental Changes ◽  
Kappa Statistic ◽  
Tree Level ◽  
Landsat 8 ◽  
Individual Tree ◽  
Composite Image ◽  
Training Samples ◽  
Different Types ◽  
Colour Composite

In order to understand how a forest may respond to environmental changes or develop over time, it is necessary to examine broad, landscape level factors. With the arrival of unmanned aerial vehicles (UAVs), the combination of both spaceborne data with high resolution UAV data can provide foresters and biologists with powerful tools to classify canopies to the species level, which we illustrate here. We combine imagery from the Operational Land Imager (OLI) of the Landsat 8 satellite with aerial imagery from a Phantom 4 UAV to map canopy composition of three tree species. We manually delineated dense stands of each tree species in the UAV imagery to extract training samples from an OLI true colour composite image to perform a fuzzy membership analysis and calculate the maximum likelihood that an individual pixel represented a particular species. We verified the accuracy of our analysis finding an overall accuracy of 0.796 and a kappa statistic of 0.728. We consider these results to be a strong demonstration of the value of using UAV and satellite imagery in tandem to investigate forest-wide effects at an individual tree level.

scholarly journals Application of nonlinear colour enhancement on transparencies for interpretation of glacier surface characteristics

1992 ◽  
Vol 16 ◽  
pp. 190-192
Author(s):  
Cao Meisheng ◽  
Mi Desheng ◽  
Pu Yinbin ◽  
Liu Jinghaung
Keyword(s):  
Surface Characteristics ◽  
False Colour Composite ◽  
High Contrast ◽  
Glacier Surface ◽  
Ice Surface ◽  
Grey Scale ◽  
Scale Range ◽  
Colour Composite ◽  
Channel Image ◽  
False Colour

According to the analysis of grey scale range on MSS-4, -5, -6 and -7 channel image films for five snow-ice categories on glacier surface, the grey scale among snow, bare ice, ice pinnacle, moraine-covered ice surface and gully bed has been spread nonlinearly by using duplicative processing on high-contrast film. As a result of the rescaling of grey levels, the colour differences of morphological features of Rongbu Glacier in the Qpmolangma region have been increased on false colour composite photography. It is also shown that using MSS-6 to composite false colour images compared to MSS-5 will supply more information for the interpretation of the glacier area.

Analytic Representation of Illuminance on the Earth Surface with Different Types and Conditions of Cloud Cover over the 11-Year Solar Activity Cycle

2021 ◽  
pp. 42-50
Author(s):  
Alexander V. Leonidov
Keyword(s):  
Solar Activity ◽  
Cloud Cover ◽  
Activity Cycle ◽  
Solar Activity Cycle ◽  
Earth Surface ◽  
Solar Altitude ◽  
The Earth ◽  
Different Types ◽  
Solar Altitude Angle ◽  
Construction Practice

The article describes the analytical expression approximating experimental data on daily natural illuminance on the Earth surface with different types and conditions of cloud cover over the 11-year solar activity cycle within the solar altitude angle range of 0 ° to 90 °. The values of the direct, diffused, and total illuminance on the Earth surface with different types and conditions of the cloud cover and, to some extent, of the substrate were defined and summarised in tables. The data presented may be used as part of the visual perception studies, light and engineering calculations, architecture and construction practice, etc.

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