Transfer learning applied on the unsplash data using alexnet pretrained network (codes included)
Transfer learning using the pre-trained deep learning networks from MATLAB can be easily implemented to achieve fast and impressive results
Utpal Kumar's Blog
"All about coding, methods, algorithms, and applications in the context of Earth Sciences"
Signal denoising using Fourier Analysis in Python (codes included)
We will learn the basics of Fourier analysis and implement it to remove noise...
Analyzing MiniSEED seismic data in MATLAB (codes included)
We will learn how to convert a mseed data file into mat format and then read ...
Introduction to Earth Data Analysis
- Get Started
- Learn Git/Github for team collaboration
- Install Python via Anaconda
- Install Python IDE (Jupyter Notebook, Visual Studio Code)
- Python variables and data types
- Install and use Python packages
- Get familiar with Numpy for data manipulations
- Get familiar with Matplotlib for plotting arrays
- Get familiar with Pandas to analyze tabular data
- Get familiar with text file formats
- Use basic Markdown syntax to format text in Jupyter Notebook files
- Get familiar with text file formats - CSV, .txt, YAML
- Read/Write data from text files using Python
- Read/Write data from text files using Pandas
- Deal with missing data in Pandas
- Spatial Data Analysis
- Read multi-layered raster data (.tif / .hdf / .nc) in Python
- Read vector data (shapefiles) using geopandas
- GIS in Python
- Time-series Analysis using Pandas
- Read time-series data
- Work with
Datetimeformats - Resample time series
- Filtering/smoothing time-series with Pandas
- Plot time series
- How to plot topographic high-resolution geospatial maps
Recent posts
Getting familiar with pytorch data structures (codes included)
In this introduction to the concepts of Pytorch data structures, we will learn about how to create and reshape tensors using Pytorch and compare it with the ...
How to analyze a huge data file with pandas (codes included)
We learn how to read huge csv file containing time series data by breaking it into chunks and then visualizing it with matplotlib
Pyqt5 application for visualizing ambient sound in real-time (codes included)
A PyQt5 application for retrieving and visualizing sound waveforms in real time. Codes included.
How to start using pandas immediately for earth data analysis (codes included)
This tutorial gives a brief description of scientific computing using Pandas by introducing Series, DataFrame, Pandas common operations, methods, conditional...
Introduction to numpy for scientific computing
This tutorial gives a brief description of scientific computing using numpy by introducing arrays, methods, attributes, random numbers, indexing, broadcastin...
A quick look into the sktime for time-series forecasting (codes included)
I used the sktime library to forecast the airline data using NaiveForecaster, KNeighborsRegressor, Statistical forecasters, and auto ARIMA model.
Three-dimensional perspective map of taiwan using gmt and pygmt (codes included)
We learn how to make the three-dimensional map using both GMT and PyGMT
Wavelet analysis applied to the real dataset in a quick and easy way (codes included)
An introduction to the wavelet analysis for a real geophysical data set. I compared the analysis to the Fourier analysis. Codes included!
High-quality maps using the modern interface to the generic mapping tools (codes included)
GMT or generic mapping tools have become synonymous with plotting maps in Earth, Ocean, and Planetary sciences. It can be used for processing data, generatin...
The right way to loop in python (codes included)
What is the fastest and most efficient way to loop in Python. We found that the numpy is fastest and python builtins are the most memory efficient.
Genetic algorithm: a highly robust inversion scheme for geophysical applications (codes included)
An introduction to the basics of genetic algorithm along with a simple numerical example and solution of an earthquake location problem
Signal denoising using fourier analysis in python (codes included)
We will learn the basics of Fourier analysis and implement it to remove noise from the synthetic and real signals
Analyzing miniseed seismic data in matlab (codes included)
We will learn how to convert a mseed data file into mat format and then read and analyze it using MATLAB
Transfer learning applied on the unsplash data using alexnet pretrained network (codes included)
Transfer learning using the pre-trained deep learning networks from MATLAB can be easily implemented to achieve fast and impressive results
Getting familiar with pytorch data structures (codes included)
In this introduction to the concepts of Pytorch data structures, we will learn about how to create and reshape tensors using Pytorch and compare it with the ...
How to analyze a huge data file with pandas (codes included)
We learn how to read huge csv file containing time series data by breaking it into chunks and then visualizing it with matplotlib
Pyqt5 application for visualizing ambient sound in real-time (codes included)
A PyQt5 application for retrieving and visualizing sound waveforms in real time. Codes included.
How to start using pandas immediately for earth data analysis (codes included)
This tutorial gives a brief description of scientific computing using Pandas by introducing Series, DataFrame, Pandas common operations, methods, conditional...
Introduction to numpy for scientific computing
This tutorial gives a brief description of scientific computing using numpy by introducing arrays, methods, attributes, random numbers, indexing, broadcastin...
A quick look into the sktime for time-series forecasting (codes included)
I used the sktime library to forecast the airline data using NaiveForecaster, KNeighborsRegressor, Statistical forecasters, and auto ARIMA model.
Three-dimensional perspective map of taiwan using gmt and pygmt (codes included)
We learn how to make the three-dimensional map using both GMT and PyGMT
Wavelet analysis applied to the real dataset in a quick and easy way (codes included)
An introduction to the wavelet analysis for a real geophysical data set. I compared the analysis to the Fourier analysis. Codes included!
High-quality maps using the modern interface to the generic mapping tools (codes included)
GMT or generic mapping tools have become synonymous with plotting maps in Earth, Ocean, and Planetary sciences. It can be used for processing data, generatin...
The right way to loop in python (codes included)
What is the fastest and most efficient way to loop in Python. We found that the numpy is fastest and python builtins are the most memory efficient.
Genetic algorithm: a highly robust inversion scheme for geophysical applications (codes included)
An introduction to the basics of genetic algorithm along with a simple numerical example and solution of an earthquake location problem
