It employes Principal Component Analysis (PCA) and K-means clustering techniques over difference image to detect changes in multi temporal images satellite imagery.

climate-analysis

Code used for the analysis and visualisation of climate data during my PhD

climt

The official home of climt, a Python based climate modelling toolkit.

cluttercal

Relative Clutter Adjustment (RCA) technique - using ground clutter for radar calibration monitoring.

cometts

Comet Time Series Toolset for working with a time-series of remote sensing imagery and user defined polygons

convective_variability_analysis

Repository for my work on convective variability and clustering

convlstm-pytorch

ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

convlstm_pytorch

Implementation of Convolutional LSTM in PyTorch.

cpol_processing

📡 Process meteorological radar data. 📡

csu_radartools

A module of independent functions to do precipitation retrievals from polarimetric radar data

datatools

Module to perform conversion of physical units (dBZ, mmhr) and various data transformations (probability matching etc)

dealias

Radar Doppler velocity dealiasing technique using 3D continuity.

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deepnetsforeo

Deep networks for Earth Observation

dnn_storm

Repository for Nathan's summer student project

doppler_retrieval

Combined dynamic and thermodynamic retrieval from Doppler wind data

dwr_related

Some python scripts related to my work on DWR

eesrgan

Small-Object Detection in Remote Sensing (satellite) Images with End-to-End Edge-Enhanced GAN and Object Detector Network

eth_radar

Echo Top Height estimation from radar data using Lakshmanan et al. (2013). method

fastai

The fast.ai deep learning library, lessons, and tutorials

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