2018jinsong

lisst

An R package to read, manipulate and visualize data from the Laser In-Situ Scattering and Transmissometry (LISST) instruments, Sequoia Scientific, Inc.

pymc-resources

PyMC educational resources

IOCS_BUSAN_2019

a repo for presentations given at IOCS 2019 in Busan, S. Korea.

FastSBL

A fast sparse Bayesian learning algorithm based on gaussian scale mixture model for regression problem

sparse-bayes-learn

Python package for Sparse Bayesian Learning.

Bayesian-ML-4-IOP-from-TOA

Development of Bayesian models to predict marine inherent optical properties.

pylisst

Scientific code to process LISST-VSF data

pffit

tools for scattering phase functions

Py6S

A Python interface to the 6S Radiative Transfer Model

gee-atmcorr-S2

Atmospheric correction of a (single) Sentinel 2 image

python-mie

Pure python library for Mie scattering calculations

QGrain

An open-source and easy-to-use software for the comprehensive analysis of grain-size distributions

scattnlay

Near- and far-field Mie scattering by a multilayered sphere

PyATMM

Anisotropic transfer matrix method

platon

Fast exoplanet transmission spectrum calculator

acolite_ls2

ACOLITE: Atmospheric correction for aquatic applications of Landsat and Sentinel-2 (obsolete)

scikit-opt

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

RadiativeTransferCode-OSOAA

Ocean Successive Orders with Atmosphere - Advanced (OSOAA) : Accurate computation of the radiative tranfer into the Ocean-Atmosphere system including polarisation, coupling terms, and the agitated surface.

chandra

(Monte Carlo) radiative-transfer simulation

python-ternary

:small_red_triangle: Ternary plotting library for python with matplotlib

scientific-python-lectures

Lectures on scientific computing with python, as IPython notebooks.

miepython

Mie scattering of light by perfect spheres

CoastSat

Global shoreline mapping tool from satellite imagery

Google-Earth-Engine-JavaScript-Examples

Various examples for Google Earth Engine in Javascript

Google-Earth-Engine-Python-Examples

Various examples for Google Earth Engine in Python using Jupyter Notebook

google_earth_engine_notebook

A walkthrough of some Google Earth Engine Features, as well as using the data in TensorFlow

OceanColorPolarizationModel_V1

Matlab code that generates simulation files for the RayXP program and plots the necessary results in a separate script. This model uses the PTH_mmVF files from the SolLib directory of RayXP to use as scattering functions for the different wavelengths. Ocean surface optical properties are determined by the mathematical relationships between chlorophyll concentration, CDOM, and NAP as outlined by Alexander Gilerson's research. Windspeed is also modeled through RayXP and can be changed in the script.

OceanColorPolarizationModel_V3

Version 3. This version creates new matrices in the same way as version 2 (PTH_mmvF / I_PTH) * I_mie However this version creates 2 input files for RayXP One file is the normal input from version 2 The second is an input file where absorption of the ocean is set to a high number This ensures full absorption by the water Both of these are then run through RayXP to obtain outputs The fully absorbing output is then subtracted from the normal output This removes the effects of sunlight reflected off the waters surface. This final output is then plotted either on its own or together with the original output before subtraction.

OceanColor

OceanColorPolarizationModel_V2

A more advanced version than V1. This version creates a mie scattering matrix for the specified chlorophyl concentrations The PTH_mmvF matrices are divided by their respective intensities They are then multiplied by the different generated mie scattering matricies' intensities. (PTH_mmvF / I_PTH) * I_mie These new scattering matrices are then used for the RayXP program