Ka Hei's Projects
Find primary sources online and learn how to research history digitally.
A curated list of Google Earth Engine resources
:globe_with_meridians: List of 500+ geospatial companies (GIS, Earth Observation, UAV, Satellite, Digital Farming, ..)
Detecting Lake Dynamics/ Time Series 🌊 in Burkina Faso using Sentinel-2 🛰 (Open Data Cube 📦)
Tutorials for basic analysis of CMIP6 climate models on the Google Cloud Platform.
Notebooks for the Digital Earth Africa Sandbox
This is the EAGLE M.Sc. semester project for the Deep Learning class (Advanced Programming for remote sensing) 🦗🌾🌾 Topic: Deep-Learning-based Locust prediction using Landsat series and short-term climate data
Deep Learning Specialization courses by Andrew Ng, deeplearning.ai
Code and data for the distant reading stream of DH Downunder 2018.
A curated list of digital things related to the field of Chinese studies.
This is the blog for Python tutorials on digital Chinese history
This repo illustrates how public users can use cdsapi Python API to download climate model data and do some first analysis
Downscaling & bias correction of CMIP6 tasmin, tasmax, and pr for the R/CIL GDPCIR project
a demo repo to test the ea envt in binder
A Google Earth Engine API (interactive dashboard) for satellite-based global climate hazard analysis (urban heat, landcover changes, etc). Project under World Bank Group. ⬇️ ⬇️
Open Data Cube Software Project: https://datacube.remote-sensing.org/
This repository contains the code used in the paper: A high-resolution canopy height model of the Earth. Here, we developed a model to estimate canopy top height anywhere on Earth. The model estimates canopy top height for every Sentinel-2 image pixel and was trained using sparse GEDI LIDAR data as a reference.
Dashboard for Home Range Analysis🌳 using Gorilla 🦍 GNSS data 🗺️.
Various examples for Google Earth Engine in Javascript
Image augmentation for machine learning experiments.
This repository contains Ipython notebooks of assignments and tutorials used in the course introduction to data science in python, part of Applied Data Science using Python Specialization from University of Michigan offered by Coursera
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Scroll-driven story map, with point markers and narrative text in GeoJSON, using Leaflet and jQuery
This is the group project under EAGLE M.Sc. course - MB3 – From Field Measurements to Geoinformation, with UAV field data 🌲🐞 collected during an excursion in the Berchtesgaden National Park, Germany.
Launch machine learning models into production using flask, docker etc.
This repo includes my machine learning projects from unsupervised clustering to CNN deep learning. This is part of my data science portfolio, also featured in my GitHub page (https://pinkychow1010.github.io/).
R script for EAGLE MSc course.
Semester Project: Temporal Dynamics of Gold Mining in Munduruku (Pará) Indigenous Reserves, Brazil
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent