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69 followers · 26 following

Achievements

Achievement: YOLOAchievement: Pull Sharkx2Achievement: StarstruckAchievement: QuickdrawAchievement: Arctic Code Vault Contributor

Achievements

Achievement: YOLOAchievement: Pull Sharkx2Achievement: StarstruckAchievement: QuickdrawAchievement: Arctic Code Vault Contributor

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@SAEON

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GMoncrieff/README.md

Hello / Howzit / Molo 👋

My name is Glenn Moncrieff and I am a Data Scientist and AI Engineer based in Cape Town, South Africa.

Cape Town ISS

My background is in geography and ecology, and nowadays I spend most of my time trying to improve conservation outcomes using all the tool savailable to a modern data scientist

I observed the earth with satellites I monitor species with in situ sensors I assemble and understand patterns in large datasets using AI I forecasts the future for global biodiversity

I am most comfortable coding in Python and R.

My research has looked at a range of environmental issues like mapping plant biomes, modelling water loss to invasive plants, rapidly detecting habitat loss in shrublands or forecasting post-fire vegetation recovery. I also wrote about climate change impacts on African ecosystems in the Africa chapter of the latest IPCC report.

I like to see science turned into real-world applications and software that the community can use. So I spend lots of time turning research into packages or operational products. Some fun software that I have created or contributed to:

  • Global Renosterveld Watch: Deploys trained tensorflow models to GCP via Apache Beam to predict shrubland habitat loss.

  • hyper-iap: Mapping alien invasive plants from hyperspectral imagery using deep learning.

  • saeonobspy: An Python package to query and downloaded environmental data from the SAEON observations database

  • Ecological Monitoring and Management Application: An environmental data processing pipeline for forecasting satellite observed postfire vegetation recovery

  • SciArgus): Weekly scientifc literature AI search and summary

Want to connect?

  • 💻 Get in touch to chat about projects with a geospatial, earth observation or biodiversity focus: glennmoncrieff@gmail.com

  • 📫 Follow me on my website

Pinned Loading

  1. hyper-iap hyper-iap Public

    Classification of alien invasive plants from hyperspectral data from point localities

    Python 2 1

  2. renosterveld-monitor renosterveld-monitor Public

    supervised continuous change detection in a shrubland ecosystem

    Jupyter Notebook 3

  3. earthengine-workflow earthengine-workflow Public

    Deploy Tensorflow models to Google Cloud Platform for automating predictions on Earth Engine imagery

    Python 25 3

  4. xarray-enmap xarray-enmap Public

    notebooks to get started working with enmap hyperspectral data in python

    Jupyter Notebook 12

  5. MagicForrest/DGVMTools MagicForrest/DGVMTools Public

    R package for processing, analysing and visualising ouput from Dynamic Global Vegetation Models (DGVMs)

    HTML 34 23

  6. saeonobspy saeonobspy Public

    An python package to query available datasets and download selected datasets from the SAEON observations database

    Python