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Py6S - A Python interface to 6S

Run atmospheric radiative transfer simulations easily with a intuitive Python interface to the 6S model. Get started ». By Robin Wilson, University of Southampton. From Py6S import * # Set some parameters s = SixS() s.wavelength = Wavelength(0.471) s.aot550 = 0.27 s.ground reflectance = GroundReflectance.HomogenousLambertian(0.36) s.run() print s.outputs.apparent radiance. No more messing around with 6S input files. Consistent, intuitive interface. Easy to use even with no Python experience.

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Py6S - A Python interface to 6S | py6s.rtwilson.com Reviews
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Run atmospheric radiative transfer simulations easily with a intuitive Python interface to the 6S model. Get started ». By Robin Wilson, University of Southampton. From Py6S import * # Set some parameters s = SixS() s.wavelength = Wavelength(0.471) s.aot550 = 0.27 s.ground reflectance = GroundReflectance.HomogenousLambertian(0.36) s.run() print s.outputs.apparent radiance. No more messing around with 6S input files. Consistent, intuitive interface. Easy to use even with no Python experience.
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Py6S - A Python interface to 6S | py6s.rtwilson.com Reviews

https://py6s.rtwilson.com

Run atmospheric radiative transfer simulations easily with a intuitive Python interface to the 6S model. Get started ». By Robin Wilson, University of Southampton. From Py6S import * # Set some parameters s = SixS() s.wavelength = Wavelength(0.471) s.aot550 = 0.27 s.ground reflectance = GroundReflectance.HomogenousLambertian(0.36) s.run() print s.outputs.apparent radiance. No more messing around with 6S input files. Consistent, intuitive interface. Easy to use even with no Python experience.

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py6s.rtwilson.com py6s.rtwilson.com
1

Py6S - Getting Started

http://py6s.rtwilson.com/gettingstarted.html

Step 1: Install Py6S. Installing Py6S itself is very easy (. For those of you who know what that means), but unfortunately compiling and installing 6S itself is a little harder. Don't worry though - there are thorough instructions. Which take you through compiling and installing on 6S, and then installing Py6S on Windows, OS X and Linux. Py6S is free software, available under the LGPL license. And the full source-code is available at Github. Step 2: Follow the Quickstart guide. Step 3: Find out more.

2

Py6S - What is 6S?

http://py6s.rtwilson.com/6s.html

Second Simulation of the Satellite Signal in the Solar Spectrum. Known, understandably, as 6S) is a Radiative Transfer Model which is widely used within remote sensing. It simulates the effect of the atmosphere on light passing through it, and can basically answer two questions:. What intensity of light would be received at a satellite or airborne sensor under a specific set of atmospheric and ground reflectance conditions? That is, the reverse of the previous question). And the original manuals.

3

Py6S - A Python interface to 6S

http://py6s.rtwilson.com/index.html

Run atmospheric radiative transfer simulations easily with a intuitive Python interface to the 6S model. Get started ». By Robin Wilson, University of Southampton. From Py6S import * # Set some parameters s = SixS() s.wavelength = Wavelength(0.471) s.aot550 = 0.27 s.ground reflectance = GroundReflectance.HomogenousLambertian(0.36) s.run() print s.outputs.apparent radiance. No more messing around with 6S input files. Consistent, intuitive interface. Easy to use even with no Python experience.

4

Py6S - Documentation

http://py6s.rtwilson.com/docs.html

The full documentation for Py6S is available here. Further sources of information that may be helpful include:. A journal paper on Py6S. Written by the author, which gives an overview of the aims of Py6S and basic usage. (NB: This paper must. Be cited when using Py6S in any academic work.). The original 6S paper. By Vermote et al., plus the original 6S manuals. A list of published papers which cite Py6S. So you can see what other people have done with it. Kindly hosted by Rackspace.

5

Py6S - Support

http://py6s.rtwilson.com/support.html

Py6S is free software, and I (the author) have many other demands on my time. I will, however, try to provide reasonable levels of support for problems people may have using Py6S. Before asking for help. Please do the following - it'll save us all time! Ensure you're running the latest version of Py6S (run. Pip install - upgrade Py6S. If you still need some help then please post to the Py6S mailing list. Function, which will give me information that should help me diagnose your problem.

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Atmospheric Correction of Landsat Data using ARCSI | spectraldifferences

https://spectraldifferences.wordpress.com/2014/05/27/arcsi

Tips and tutorials for GIS and Remote Sensing…. Atmospheric Correction of Landsat Data using ARCSI. The Atmospheric and Radiometric Correction of Satellite Imagery ( ARCSI. Software was developed at Aberystwyth University, under contract from the Norwegian Space Centre and allows automatic correction of Landsat data to Top Of Atmosphere (TOA) or Surface Reflectance (SREF). The conversion to Surface Reflectance uses the 6S codes, accessed through the Py6S. To install through conda:. Download and untar data.

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Behind the paper: Spatial variability of the atmosphere over southern England, and its effects on scene-based atmospheric corrections « Robin's Blog

http://blog.rtwilson.com/behind-the-paper-spatial-variability-of-the-atmosphere-over-southern-england-and-its-effects-on-scene-based-atmospheric-corrections

Behind the paper: Spatial variability of the atmosphere over southern England, and its effects on scene-based atmospheric corrections. August 6, 2014. So, this first post is about:. Wilson, R. T., Milton, E. J., and Nield, J. M. (2014). Spatial variability of the atmosphere over southern England, and its effect on scene-based atmospheric corrections. International Journal of Remote Sensing. The range of AOT over southern England was around 0.1-0.5 on both days. Once we’d established the range of AO...

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Py6S - A Python interface to 6S

Run atmospheric radiative transfer simulations easily with a intuitive Python interface to the 6S model. Get started ». By Robin Wilson, University of Southampton. From Py6S import * # Set some parameters s = SixS() s.wavelength = Wavelength(0.471) s.aot550 = 0.27 s.ground reflectance = GroundReflectance.HomogenousLambertian(0.36) s.run() print s.outputs.apparent radiance. No more messing around with 6S input files. Consistent, intuitive interface. Easy to use even with no Python experience.

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