scholarly journals Mineral and Lithologic Mapping Capability of WorldView 3 Data at Mountain Pass, California, Using True- and False-Color Composite Images, Band Ratios, and Logical Operator Algorithms

2018 ◽  
Vol 113 (7) ◽  
pp. 1587-1601 ◽  
Author(s):  
John C. Mars
Terr Plural ◽  
2021 ◽  
Vol 15 ◽  
pp. 1-25
Author(s):  
Isadora Taborda Silva ◽  
Jéssica Rabito Chaves ◽  
Helen Rezende Figueiredo ◽  
Bruno Silva Ferreira ◽  
César Claudio Cáceres Encina ◽  
...  

This paper evaluates the potential of false-color composite images, from 3 different remote sensing satellites, for the identification of continental wetlands. Landsat 8, Sentinel-2 and CBERS-4 scenes from three different Ramsar sites (i.e., sites designated to be of international importance) two sites located within the Mato-Grossense Pantanal and one within the Sul-mato-grossense were used for analyses. For each site, images from both the dry and rainy seasons were analyzed using Near-Infrared (NIR), Shortwave Infrared (SWIR), and visible (VIS) bands. The results show that false-color composite images from both the Landsat 8 and the Sentinel-2 satellites, with both SWIR 2-NIR-BLUE and NIR-SWIR-RED spectral band combinations, allow the identification of wetlands.


Author(s):  
V. Vijaya ◽  
G.Jenny Niveditha

A novel supervised classification approach is proposed for high-resolution dual-polarization (dual-pol) amplitude COSMO SkyMed images. Coherence, mean backscattering coefficient and backscatter difference images are generated, from which the False Color Composite (FCC) image is formed. A classification scheme based on maximum likelihood algorithm land cover classification is implemented on the false color composite image to classify the river, vegetation and the urban areas of Jharia, located in the state of Jharkhand in India using MATLAB 7.6 and ENVI 4.7.


2014 ◽  
Vol 6 (2) ◽  
pp. 1765-1798 ◽  
Author(s):  
F. Feizi ◽  
E. Mansouri

Abstract. The Bideghan area is located south of the Qom province (central of Iran). The most impressive geological features in the studied area are the Eocene sequences which are intruded by volcanic rocks with basic compositions. Advanced Space borne Thermal Emission and Reflection Radiometer (ASTER) image processing have been used for hydrothermal alteration mapping and lineaments identification in the investigated area. In this research false color composite, band ratio, Principal Component Analysis (PCA), Least Square Fit (LS-Fit) and Spectral Angel Mapping (SAM) techniques were applied on ASTER data and argillic, phyllic, Iron oxide and propylitic alteration zones were separated. Lineaments were identified by aid of false color composite, high pass filters and hill-shade DEM techniques. The results of this study demonstrate the usefulness of remote sensing method and ASTER multi-spectral data for alteration and lineament mapping. Finally, the results were confirmed by field investigation.


2011 ◽  
Author(s):  
Khadijeh Karimi ◽  
Hamid Taheri Shahraiyni ◽  
Majid Habibi Nokhandan ◽  
Naser Hafezi Moghaddas ◽  
Melika Sanaeifar

2012 ◽  
Vol 468-471 ◽  
pp. 1671-1674
Author(s):  
Ting Yin ◽  
Wen Tao Zhang ◽  
Xian Ming Xiong

Several methods of the choice in assembled spectral and color composite in the false color composite of multi-spectral RS images are discussed. The research indicates that using the OIF method to carry on the band choice, unifying the easy and feasible RGB false colored synthesis and carrying on the method of image linear extension can realize the false color composite of multi-spectral RS images effectively, and the obtaining false color image has rich information and distinctive visual effects.


Author(s):  
S. B. Sayyad ◽  
Z. R. Mohammed ◽  
R. R. Deshmukh

<p><strong>Abstract.</strong> The imaging spectroscopy offers an opportunity to map and discriminate different minerals on the lunar surface which further helps to understand the origin, evolution process, and the crustal composition on the surface of the moon. Compositional mapping of the lunar surface is considered as a standard approach for mineral mapping. This paper reports surface mineralogy of the lunar surface from Mare Vaporum using Chandrayaan-1 Hyperspectral remotely sensed data from HySi sensor. False color composite is created using different band shaping algorithms like band strength; band curve and band tilt parameters at crucial wavelength for spatial analysis. The Spectral analysis has been done by deriving reflectance spectra at varying locations from the area under study. The Study shows the mineral map with different categories of minerals which are high-Ca pyroxene and/or olivine and low Ca-pyroxene. However because of the limited spectral coverage of HySi, data at the longer wavelengths required to discriminate among different group of minerals.</p>


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