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Hello, I am Meriam Lahsaini

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About me

I am a data scientist working on environmental projects  with Machine Leraning and Remote Sensing. Discover my articles and projects

⚡ My main data science projects

I worked mainly on Machine Learning and Remote sensing. You can explore my public repositories :

  • Mapping and monitoring flooded area (Radar and optical images)
  • Unsupervised algorithms for remote sensing
  • Daily rainfall prediction with LSTM Neural network

🔧 Languages and Tools

Python Keras pytorch Tensorflow

Meriam Lahsaini's Projects

acolite icon acolite

ACOLITE: generic atmospheric correction module

arset_ml_fundamentals icon arset_ml_fundamentals

Repository for Jupyter Notebook examples associated with the NASA ARSET Training, "Fundamentals of Machine Learning for Earth Science"

building-a-data-science-web-app icon building-a-data-science-web-app

Used Python and Streamlit to build a beautiful and interactive web app. Loaded, explored, visualized and interacted with data, and generated dashboards in less than 100 lines of Python code!

dbeaver icon dbeaver

Free universal database tool and SQL client

earthengine-py-notebooks icon earthengine-py-notebooks

A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

global_flood_mapper icon global_flood_mapper

This repository contains links to the Global Flood Mapper (GFM). Usage instructions are given here. For more details, please check the journal article titled "Global Flood Mapper: A novel Google Earth Engine application for rapid flood mapping using Sentinel-1 SAR."

lulc_pk icon lulc_pk

A repository containing data for upcomming paper " Leveraging Google Earth Engine and geospatial techniques for Pakistan national scale land cover, change transition, and carbon storage assessment between 1990-2020"

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