EO-Climate-Hazard-Analysis-App
A Google Earth Engine API (interactive dashboard) for satellite-based global climate hazard analysis (urban heat, landcover changes, etc). Project under World Bank Group. ⬇️ ⬇️
Possibly Available
About
🛰️ Earth Observer & Climate Risk Consultant @WorldBank
Evidence-backed skills
Repositories
Downloading-CMIP-Data-using-Python
This repo illustrates how public users can use cdsapi Python API to download climate model data and do some first analysis
VIIRS_Fire_ML_Clustering
Detecting active fire hotspots and unsupervised clustering hotspots using VIIRS thermal remote sensing data.
Deep-Learning-Locust-Prediction
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
CNN_Global_Biomass_Estimation
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_risk_assessment
Mangrove Flood Risk Assessment 🌳🌊
machine-learning-project
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/).
Priestley_Glacier_GNSS_Positioning_Assessment
Working script for the thesis project to analyze the accuracy of GNSS processing results collected from Priestley Glacier, Antarctica near the grounding zone which exhibits tidal modulation.
downscaleCMIP6
Downscaling & bias correction of CMIP6 tasmin, tasmax, and pr for the R/CIL GDPCIR project
Awesome-GEE
A curated list of Google Earth Engine resources
postgis
Spatial Data Management with PostgreSQL and PostGIS https://gishub.org/sdm
digital-chinese-history-blog
This is the blog for Python tutorials on digital Chinese history