Pinned Repositories
30DayMapChallenge-Bot
Monitoring #30DayMapChallenge on Twitter
AI-and-Machine-Learning-workshop-in-Paschimanchal-Campus
Collection of notebook and slides for AI workshop , WRC Pokhara
awesome-forests
🌳 A curated list of ground-truth forest datasets for the machine learning and forestry community.
bayts
Set of tools to apply the probabilistic approach of Reiche et al. (2015, 2018) to combine multiple optical and/or Radar satellite time series and to detect deforestation/forest cover loss in near real-time. The package includes functions to apply the approach to both, single pixel time series and raster time series. Examples and test data are provided below.
blockCV
The blockCV package creates spatially or environmentally separated training and testing folds for cross-validation to provide a robust error estimation in spatially structured environments.
CLLC
Country-level Land Cover - categories and transitions
course-python-geospatial
d2l-en
Dive into Deep Learning: an interactive deep learning book with code, math, and discussions, based on the NumPy interface.
DataPlotly
D3 like plots creation with plotly in QGIS
deafrica-sandbox-notebooks
Notebooks for the Digital Earth Africa Sandbox
sonthuybacha's Repositories
sonthuybacha/30DayMapChallenge-Bot
Monitoring #30DayMapChallenge on Twitter
sonthuybacha/AI-and-Machine-Learning-workshop-in-Paschimanchal-Campus
Collection of notebook and slides for AI workshop , WRC Pokhara
sonthuybacha/awesome-forests
🌳 A curated list of ground-truth forest datasets for the machine learning and forestry community.
sonthuybacha/course-python-geospatial
sonthuybacha/DataPlotly
D3 like plots creation with plotly in QGIS
sonthuybacha/deafrica-sandbox-notebooks
Notebooks for the Digital Earth Africa Sandbox
sonthuybacha/DLGD2021
sonthuybacha/EGRET
An R-package for the analysis of long-term changes in water quality and streamflow, including the water-quality method Weighted Regressions on Time, Discharge, and Season (WRTDS). http://usgs-r.github.io/EGRET/
sonthuybacha/gee-ccdc-tools
Tools and Earth Engine apps to interact with the outputs from the CCDC algorithm
sonthuybacha/hands-on-ggplot2-training
Material for the Pearson Live Training Session “Hands–On Data Visualization with ggplot2” for O’Reilly
sonthuybacha/ml_drought
Machine learning to better predict and understand drought. Moving github.com/ml-clim
sonthuybacha/owid-datasets
OWID Dataset Collection
sonthuybacha/prettymaps
A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
sonthuybacha/python-for-geospatial-data-analysis
This includes short and minimalistic few sessions covering fundamentals of Python programing language for geospatial data analysis.
sonthuybacha/r-for-geographic-data-science
R for Geographic Data Science
sonthuybacha/radar-based-flood-mapping
This repository contains a Jupyter Notebook for automatic flood extent mapping using space-based information.
sonthuybacha/REcol-verse
A list of R packages that are focused on Ecology
sonthuybacha/Satellite_Imagery_Analysis
Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.
sonthuybacha/sentinel-tree-cover
Image segmentations of trees outside forest
sonthuybacha/tidygeocoder
Geocoding Made Easy
sonthuybacha/vitae
R Markdown Résumés and CVs
sonthuybacha/awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
sonthuybacha/graph-fraud-detection-papers
A curated list of fraud detection papers using graph information or graph neural networks
sonthuybacha/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
sonthuybacha/Hyperspectral_Image_Analysis_Simplified
The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.
sonthuybacha/ims
📚 Introduction to Modern Statistics - A college-level open-source textbook with a modern approach highlighting multivariable relationships and simulation-based inference.
sonthuybacha/osmextract
Download and import OpenStreetMap data from Geofabrik and other providers
sonthuybacha/review-response-template
LaTeX template for the response to reviewer comments (scientific journal publications)
sonthuybacha/SDS375
SDS 375 Data Visualization in R
sonthuybacha/Teaching_Ecology