sonthuybacha

manuscript_template

A template of writing manuscripts using Rmarkdown/Quarto

dl_landscapes_paper

Buscombe & Ritchie (2018) Landscape Classification with Deep Neural Networks. Geosciences 2018, 8(7), 244

sdms

Species distribution modeling with R

complex-upset

A library for creating complex UpSet plots with ggplot2 geoms

see

:art: Visualisation toolbox for beautiful and publication-ready figures

forest-risks

statistical models of forest carbon potential and risks

imageseg

R package for deep learning image segmentation

PythonNumericalDemos

Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.

outreach

A repository with Google Earth Engine workshops, courses and conferences.

ML-From-Scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

stata-schemepack

Here you will find various ready-to-use Stata schemes.

spatialEco

R package for spatial analysis and modelling of ecological systems

shinymodels

DSen2

Super-Resolution of Sentinel-2 Images: Learning a Globally Applicable Deep Neural Network

datavizs21.classes.andrewheiss.com

gee_s1_ard

Creates an analysis ready sentinel-1 SAR image collection in Google Earth Engine by applying additional border noise correction, speckle filtering and radiometric terrain normalization.

tidypredict

Run predictions inside the database

space2vec

Gengchen Mai, Krzysztof Janowicz, Bo Yan, Rui Zhu, Ling Cai, Ni Lao. Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells, In: Proceedings of ICLR 2020, Apr. 26 - 30, 2020, Addis Ababa, ETHIOPIA .

nbterm

Jupyter Notebooks in the terminal.

GlobalMappingRegions

Region shapefiles and JSONs

FloodNet-Challenge-EARTHVISION2021

sif-downscaling-essd

Code associated with the paper on downscaling sun-induced fluorescence (SIF) data by G. Duveiller et al in ESSD (https://doi.org/10.5194/essd-2019-121)

intro_R_packages

This is for a short 1 hour class on how to write R packages

gee_sar_fetcher

An easy-to-use Python library to download SAR imagery from Google Earth Engine

trends.earth-algorithms

Python package with functions for assessing land change, drought vulnerability, and urbanization

glcm

Calculate textures from grey-level co-occurrence matrices (GLCMs) in R

resilienceatlas

Resilience Atlas - Evidence-based decision-making around resilience

resilienceatlas-layermanager

aerio

Automated processing of historical aerial photography

Landscape_Genetics_R_Course

Swirl course on landscape genetic data analysis with R