Envi spectral library download

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Search PyPI Search. The system default is 0. Right Margin: The right margin to offset the plot display within the plot window. Top Margin: The top margin to offset the plot display within the plot window. Bottom Margin: The bottom margin to offset the plot display within the plot window.

Background Color: The plot background color. The default for all plots is set in the system Plot Preferences; this value overrides the Background Color for the current plot. The system default is ,, , which is the same color as the ENVI widgets. If the background is 0,0,0 black and the foreground is ,, white , the colors will be reversed for printing. Foreground Color: The plot foreground color. The default is 0,0,0 black.

The default for all plots is set in the system Plot Preferences; this value overrides the Foreground Color for the current plot. Stack Offset: The offset for the spectra stack. The default is 0. General properties exclusive to the Spectral Profile and Spectral Library Viewer: Spectral Average: The profile cursor size to use when selecting pixels to plot.

For example, a setting of 1 would be a 1x1 pixel, and a setting of 3 would be 3x3 pixels. The default is 1. The default is Horizontal. The default is 25 points. General property exclusive to the Horizontal and Vertical Profiles: Use Full Band: A setting of True shows data for only the area of the band that is visible in the Image window.

False shows the profile for the entire band. The default is True. General properties exclusive to Series Profiles: Date Format: The format in which dates are displayed along the X-axis of the plot.

The default is Mon DD. Date Separator: The character used to separate date components. Curve Properties The Curve tab contains properties for the plot display. Name: The name of the curve selected in the list. Color: The display color of the curve selected in the list. Line Style: The style for plot lines, with choices ranging from a solid line, to different dashed or dotted lines. The default for all plots is set in the system Plot Preferences ; this value overrides the line style for the current plot.

The system default is a solid line. Thickness: The line thickness for the plot lines. The default for all plots is set in the system Plot Preferences ; this value overrides the thickness for the current plot. The system default is 1 point. Symbol: Select a symbol style to display a symbol on the peaks and valleys of the plot.

The default for all plots is set in the system Plot Preferences ; this value overrides the symbol setting for the current plot. The system default is No symbol. Symbol Color: The symbol color, if symbols are enabled. The default for all plots is set in the system Plot Preferences ; this value overrides the symbol color for the current plot.

The system default is 0,0,0 black. Symbol Size: The symbol size, if symbols are enabled. The sqlite3 module is included with Python 2. Details on sqlite3 connection and cursor objects can be found in the Python sqlite3 documentation.

To generate the library we want to save to ENVI format, we need to specify a band discretization to which we want all of the desired spectra resampled. We see that all spectra are measures of reflectance but wavelengths are in units of micrometers, whereas our sample image bands are in nanometers. To properly query the spectra, we will need to specify the band limits in micrometers. Since our bands are defined in nanometers, we will convert them before calling the method.

The resampled spectral library can be used with any image that uses the same band calibration to which we resampled the spectra. We can also save the library for future use. Share sensitive information only on official, secure websites. Latest Earthquakes Chat Share. The USGS Spectral Library contains reflectance spectra, including samples of minerals, rocks, soils, physically constructed as well as mathematically computed mixtures, plants, vegetation communities, microorganisms, and man-made materials.

The samples and spectra collected were assembled for the purpose of using spectral features for the remote detection of these and similar materials. The latest version is an update to the previously published version that is the leading database used by the global scientific community to identity materials by their "spectral fingerprints. The spectral library includes samples of minerals, rocks, soils, physically constructed as well as mathematically computed mixtures, plants, vegetation communities, microorganisms, and man-made materials.

Spectroscopy is a tool that detects the absorption or emission of light as a function of wavelength. Airborne and orbital spectrometers can detect, differentiate, and map subtle chemical differences in minerals and other compounds.

A digital reflectance spectral library that covers the wavelength range from the ultraviolet to far infrared along with sample documentation has been assembled over many years. The Version 7 library includes all spectra from the previous version along with more than 1, new spectra. This release includes field spectra of mixed vegetation plots in the coastal wetlands of Louisiana, as well as leaf level and plant level spectra of single species.

Spectra of oil emulsions, residues and oil-contaminated marsh plants from the Deepwater Horizon oil spill are included. The spectra of biochemical constituents of plants have been added to a new chapter along with spectra of more than other organic compounds.

Spectra of grain size series of minerals have been added in addition to spectra of minerals bearing rare earth elements and Lanthanide series compounds.

A new collection of powdered paint pigments spanning the range of classical artisanal colors is also included. These measurements will be made for new entries critical minerals containing rare earth elements and for increasing the spectra resolution of existing library samples. New additions will include spectra of minerals as a function of grain size, mineral-deposit specific minerals, organic and inorganic compounds, vegetation and man-made materials.

We are upgrading our database and metadata structure to increase usability for our customers. We plan to expand the USGS Spectral Library with the addition of new samples and to update the spectra resolution and range of existing library samples.

We maintain the USGS Spectroscopy Laboratory equipment necessary for laboratory and field spectroscopy equipment, which is used by and critical to numerous USGS scientists on many projects. References for material identification in remote sensing images. The library contains spectral reflectance data for of hundreds of materials, including minerals, vegetation, organic and volatile compounds, and man-made materials.