Nick's Research & Projects

About Me

I'm a research scientist working on machine learning and remote sensing problems, currently focused on water and cloud detection in satellite imagery. This page collects my research and software work.

Publications

Adaptive water body detection: Integrating deep learning, normalised difference water index, and vector data for farm dam water monitoring with OmniWaterMask
ISPRS Journal of Photogrammetry and Remote Sensing
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Training sensor-agnostic deep learning models for remote sensing: Achieving state-of-the-art cloud and cloud shadow identification with OmniCloudMask
Remote Sensing of Environment
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CloudS2Mask: A novel deep learning approach for improved cloud and cloud shadow masking in Sentinel-2 imagery
Remote Sensing of Environment
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Projects

Sentinel-2 Grid Explorer
Visualise Sentinel-2 tile grids for planning and exploration
GitHub

Building Regulariser
Geometry regularisation for building footprints
GitHub

OmniWaterMask
Hybrid deep learning and NDWI-based water detection tool
GitHub

OmniCloudMask
Generalised cloud and shadow masking using Sentinel-2 training data
GitHub

CloudS2Mask
Sentinel-2 cloud and shadow detection with high accuracy
GitHub

Blog

DPIRD DMA Blog
Periodic posts on Python, remote sensing, and machine learning topics
Visit Blog

Videos

Satellite image deep learning podcast on OmniCloudMask
A chat with Robin on the satellite-image-deep-learning podcast about OmniCloudMask
Watch on YouTube

FOSS4G Training sensor-agnostic deep learning models for remote sensing
A presentation on training sensor-agnostic deep learning models for remote sensing, given at FOSS4G Perth 2024
Watch on YouTube

Geogeeks presentation on CloudS2Mask
A presentation on CloudS2Mask, given at Geogeeks 2024
Watch on YouTube

Datasets

Farm dams of Western Australia
Vector dataset of farm dam in WA
View dataset

Contact

Email: nickjwright91@gmail.com