This repository contains all the scripts used for the python class for JRFs at IITM
Some of the tutorials to follow
- http://pure.iiasa.ac.at/id/eprint/14952/1/xarray-tutorial-egu2017-answers.pdf
- https://rabernat.github.io/research_computing/xarray.html
- Ocean Data Analysis https://currents.soest.hawaii.edu/ocn_data_analysis/exercise_data.html#id1
- Parallelization http://xarray.pydata.org/en/stable/dask.html
- Satellite Data Analyis https://github.com/nansencenter/nansat-lectures
- https://github.com/NCAR/CESM_postprocessing CESM Postprocessing
- https://github.com/NCAR/PyCect This repo is used to compare the results of a set of new CAM simulations against the accepted ensemble
- https://github.com/nichannah/ocean-regrid Regrid ocean reanalysis data from normal to tripolar grids
- https://github.com/jswhit/gfstonc Read GFS sigma and sfc files in python
- f2py
- Pandas
- https://github.com/tmiyachi/data2gfs Make python version of this using f2py
- Shallow water equation model using pyspharm https://github.com/jswhit/pyspharm and https://www.aosc.umd.edu/~dkleist/docs/shtns/doc/html/shallow_water_8py-example.html explaining the code
- Scientific Computing Lectures https://github.com/jrjohansson/scientific-python-lectures
- Geopandas satellite data analysis https://towardsdatascience.com/satellite-imagery-access-and-analysis-in-python-jupyter-notebooks-387971ece84b
- Rasterio https://medium.com/analytics-vidhya/satellite-imagery-analysis-with-python-3f8ccf8a7c32
- Eo-learn https://medium.com/dataseries/satellite-imagery-analysis-with-python-ii-8001e5c41a52
- Satpy
- Use of Landsat and Sentinel datasets
- Pyunicorn
- Keras, tensorflow, pytorch, django, theano, scikit-learn, theano, bokeh, pandas, seaborn, bokeh, plotly, scrapy,
- Python tutorial https://carpentrieslab.github.io/python-aos-lesson/ plotting CMIP data - highlight
- Python for oceanography http://www.soest.hawaii.edu/oceanography/courses/OCN681/python.html
- Python tools for oceanography https://pyoceans.github.io/sea-py/
- Python Land Surface Modelling https://www.geosci-model-dev.net/12/2781/2019/
- Python hydrology tools https://github.com/raoulcollenteur/Python-Hydrology-Tools
- Docker
- Python and GIS https://automating-gis-processes.github.io/CSC18/lessons/L1/overview.html
- https://automating-gis-processes.github.io/2016/
- https://geohackweek.github.io/raster/
- https://github.com/pangeo-data/pangeo
- https://github.com/pangeo-data/awesome-open-climate-science
- https://uwescience.github.io/sat-image-analysis/resources.html
- Radar data analysis https://data.world/datasets/radar https://arm-doe.github.io/pyart/ https://docs.wradlib.org/
- https://www.earthdatascience.org/courses/use-data-open-source-python/multispectral-remote-sensing/landsat-in-Python/
- Deep Learning on Satellite Imagery https://github.com/robmarkcole/satellite-image-deep-learning
- Google Earth Engine https://sites.google.com/view/eeindia-advanced-summit/summit-resources
- https://geohackweek.github.io/GEE-Python-API/
- https://github.com/google/earthengine-api/tree/master/python/examples/ipynb
- http://www.jerico-ri.eu/download/summer%20school%20-%20the%20netherlands/Genna%20Donchyts%20-%20GEE%20Training.pdf
- https://www.earthdatascience.org/tutorials/intro-google-earth-engine-python-api/
- Installing Google Earth Engine and requesting access https://github.com/google/earthengine-api/issues/27
- https://github.com/giswqs/earthengine-py-notebooks
- Google Earth Engine image to numpy https://mygeoblog.com/2019/08/21/google-earth-engine-to-numpy/
Projects for the class
https://docs.google.com/spreadsheets/d/1m2ZIJ_To8IbE18Teb70a7BVZg0o29sOM6rlgFkE2b3E/edit#gid=0
https://docs.google.com/document/d/12h9bcIdBPJUFc_fJssJe8hVBzledq2Dtk5-9OpKHbfg/edit