Dan T (thompsdk)

thompsdk

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Company:Natural Resources Canada - Canadian Forest Service

Location:Sault Ste. Marie, Ontario, Canada

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Dan T's starred repositories

cffdrs-ng

Revisions to the Canadian Forest Fire Danger Rating System

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hls-foundation-os

This repository contains examples of fine-tuning Harmonized Landsat and Sentinel-2 (HLS) Prithvi foundation model.

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ckan

CKAN is an open-source DMS (data management system) for powering data hubs and data portals. CKAN makes it easy to publish, share and use data. It powers catalog.data.gov, open.canada.ca/data, data.humdata.org among many other sites.

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fbp-go

FBP Go provides users a mobile solution to perform fire behaviour calculations in the field.

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elmfire

Eulerian Level set Model of FIRE spread

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tinytex

A lightweight, cross-platform, portable, and easy-to-maintain LaTeX distribution based on TeX Live

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ics209plus

This repository contains all source code needed to create the ICS-209-PLUS research dataset.

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msc-animet

MSC AniMet is a simple tool enabling users to interact with MSC Open Data weather data and create custom weather animations for any area in the world. The resulting animations can be downloaded and shared with a permalink.

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workflowr

Organize your project into a research website

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engcomp-paper

An article about the undergraduate course series in Engineering Computations

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CFDPython

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

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fr_public

Farbrausch demo tools 2001-2011

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Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

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wildfire-dln

Code and scripts for applying DLT in a disconnected, challenged environment with a focus on wildfire incident response.

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bookdown-demo

A minimal book example using bookdown

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BurnP3Plus

A SyncroSim package to explore fire risk and susceptibility across a landscape.

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supercells

The goal of supercells is to utilize the concept of superpixels to a variety of spatial data.

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rticles

LaTeX Journal Article Templates for R Markdown

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nisarCryoCalValNotebooks

NISAR Cal/Val Notebooks

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ATBD

Notebooks for NISAR Solid Earth Algorithm Theoretical Basis Document

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tidyrgee

Create tidyverse methods for dealing with GEE image and imageCollections.

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rgeedim

Search, composite, and download 'Google Earth Engine' imagery with the 'Python' module 'geedim'

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vetiver-r

Version, share, deploy, and monitor models

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ggpubr

'ggplot2' Based Publication Ready Plots

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gt

Easily generate information-rich, publication-quality tables from R

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