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Ethan D. Kyzivat

πŸ‘‹ Welcome to my github page! I am in the process of adding information about the major repositories I have developed. In the meantime, you can learn more about me at ethan.kyziv.at. Radiohead fans may understand how I chose my github username.


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Ethan Kyzivat's Projects

acousticdoppler icon acousticdoppler

Functions for processing of river discharge data made through acoustic doppler current profiler measurements.

depth-sounder icon depth-sounder

Scripts for working with Hydrolite DFX and similar echosounders

gcsfuse icon gcsfuse

A user-space file system for interacting with Google Cloud Storage

geemap icon geemap

A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets (for EDK pull requests).

image-proc icon image-proc

A growing set of image processing functions in matlab

lake-area icon lake-area

Extrapolating lake-size distribution to non-inventoried lakes and calculating vegetation coverage and methane emissions.

matrasterlib icon matrasterlib

a library of matlab functions for processing raster-format (spatially referenced gridded) satellite and climate model data in MatlabΒ©

msatutil icon msatutil

Utility codes to read MethaneSAT/AIR L1B / L2 / L3 files and produce quick diagnostic plots

paper-qa icon paper-qa

LLM Chain for answering questions from documents with citations

pixel-smasher icon pixel-smasher

Working version of Basic Super-Resolution Toolbox for class project.

porder icon porder

Simple CLI for Planet ordersV2 API

pytrx icon pytrx

PyTrx is a Python object-oriented programme created for the purpose of calculating real-world measurements from oblique images and time-lapse image series. Its primary purpose is to obtain velocities, surface areas, and distances from oblique, optical imagery of glacial environments.

random-wetlands icon random-wetlands

Random forest classification for wetland vegetation from synthetic aperture radar dataset

statsintro_python icon statsintro_python

Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"

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