Climate Data Operator Example

This MSc. project leverages Convolutional Neural Networks (CNNs) to estimate above-ground biomass density (AGBD) at a global scale using Sentinel-2 imagery and GEDI LiDAR data.

Mangrove Flood Risk Assessment 🌳🌊

A Google Earth Engine API (interactive dashboard) for satellite-based global climate hazard analysis (urban heat, landcover changes, etc). Project under World Bank Group. ⬇️ ⬇️

This repo illustrates how public users can use cdsapi Python API to download climate model data and do some first analysis

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.…

Detecting active fire hotspots and unsupervised clustering hotspots using VIIRS thermal remote sensing data.

This is the blog for Python tutorials on digital Chinese history

This repo is for basic Python training in order to perform satellite data analysis in eo2cube (Open Data Cube)

Dashboard for Home Range Analysis🌳 using Gorilla 🦍 GNSS data 🗺️.

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 c…

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.