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spyndexAwesome Spectral Indices in Python.
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xarray-sentinelXarray backend to Copernicus Sentinel-1 satellite data products
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tsa4R code for Time Series Analysis and Its Applications, Ed 4
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starfm4pyThe STARFM fusion model for Python
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xmcaMaximum Covariance Analysis in Python
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s5p-toolsPython scripts to download and preprocess air pollution concentration level data aquired from the Sentinel-5P mission
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xbatcherBatch generation from xarray datasets
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NAGPythonExamplesExamples and demos showing how to call functions from the NAG Library for Python
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irisSemi-automatic tool for manual segmentation of multi-spectral and geo-spatial imagery.
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Deep XFPackage towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.
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online-python-trainingRepo for materials associated with the Online Python Training (OPT) project
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xarray-beamDistributed Xarray with Apache Beam
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XArrayAndRasterioExperimental code for loading/saving XArray DataArrays to Geographic Rasters using rasterio
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XarrayN-D labeled arrays and datasets in Python
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deck.gl-rasterdeck.gl layers and WebGL modules for client-side satellite imagery analysis
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xbpchxarray interface for bpch files
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curso-geeGoogle Earth Engine para el monitoreo del uso y cobertura del suelo de la República Argentina
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floxFast & furious GroupBy operations for dask.array
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gcpyPython toolkit for GEOS-Chem.
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aitlasAiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.
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pssaSingular Spectrum Analysis for time series forecasting in Python
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Time-Series-ForecastingRainfall analysis of Maharashtra - Season/Month wise forecasting. Different methods have been used. The main goal of this project is to increase the performance of forecasted results during rainy seasons.
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trajaPython tools for spatial trajectory and time-series data analysis
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qgsA 2-layer quasi-geostrophic atmospheric model in Python. Can be coupled to a simple land or shallow-water ocean component.
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resteePython package to call processed EE objects via the REST API to local data
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aerobulkAeroBulk is a modern-FORTRAN-based package/library that gathers state-of-the-art aerodynamic bulk formulae algorithms used to compute turbulent air-sea fluxes of momentum, heat and freshwater.
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EOmapsA library to create interactive maps of geographical datasets
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xwrfA lightweight interface for working with the Weather Research and Forecasting (WRF) model output in Xarray.
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notebooksCode examples for pyFTS
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neuralRDEsCode for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)
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gribGolang GRIB2 parser
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gis4wrfQGIS toolkit 🧰 for pre- and post-processing 🔨, visualizing 🔍, and running simulations 💻 in the Weather Research and Forecasting (WRF) model 🌀
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ARIMASimple python example on how to use ARIMA models to analyze and predict time series.
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DtaleVisualizer for pandas data structures
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rsgislibRemote Sensing and GIS Software Library; python module tools for processing spatial data.
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HerbiePython for downloading model data (HRRR, RAP, GFS, NBM, etc.) from NOMADS, NOAA's Big Data Program partners (Amazon, Google, Microsoft), ECMWF open data, and the University of Utah Pando Archive System.
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xarrayutilsxarrayutils.readthedocs.io/
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arcsiSoftware to automate the production of optical analysis ready data (ARD) from Landsat, Sentinel-2 and others.
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hypothesis-gufuncExtension to hypothesis for testing numpy general universal functions
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pyMeteoMeteorological routines
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xpublishPublish Xarray Datasets via a REST API.
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python-trainingNotebooks teaching Python for use meteorology and atmospheric and climate sciences.
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CoronaDashCOVID-19 spread shiny dashboard with a forecasting model, countries' trajectories graphs, and cluster analysis tools
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clisopsClimate Simulation Operations
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aospyPython package for automated analysis and management of gridded climate data
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PyEarthScienceThe PyEarthScience repository created by DKRZ (German Climate Computing Center) provides Python scripts and Jupyter notebooks in particular for scientific data processing and visualization used in climate science. It contains scripts for visualization, I/O, and analysis using PyNGL, PyNIO, xarray, cfgrib, xesmf, cartopy, and others.
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geemap-appsInteractive web apps created using geemap and streamlit
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torchgeoTorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
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PRTSUnofficial Python implementation of "Precision and Recall for Time Series".
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