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pinkychow1010

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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

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. ⬇️ ⬇️

VIIRS_Fire_ML_Clustering

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

Jupyter Notebook

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

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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/).

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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.

Python

mangrove_risk_assessment

Mangrove Flood Risk Assessment 🌳🌊

Jupyter Notebook

digital-chinese-history-blog

This is the blog for Python tutorials on digital Chinese history

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pinkychow1010/Deep-Learning-Locust-Prediction

pinkychow1010

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