wxeeA Python interface between Earth Engine and xarray for processing time series data
Stars: ✭ 113 (+9.71%)
Mutual labels: xarray, earth-observation, climatology
GoogleEarthEngine-side-projectsGoogle Earth Engine side projects and tutorial scripts
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Mutual labels: google-earth-engine, earth-observation
xarray-sentinelXarray backend to Copernicus Sentinel-1 satellite data products
Stars: ✭ 189 (+83.5%)
Mutual labels: xarray, earth-observation
Geoweavera web system to allow users to automatically record history and manage complicated scientific workflows in web browsers involving the online spatial data facilities, high-performance computation platforms, and open-source libraries.
Stars: ✭ 32 (-68.93%)
Mutual labels: google-earth-engine, pangeo
esmlabEarth System Model Lab (esmlab). ⚠️⚠️ ESMLab functionality has been moved into <https://github.com/NCAR/geocat-comp>. ⚠️⚠️
Stars: ✭ 23 (-77.67%)
Mutual labels: xarray, pangeo
spyndexAwesome Spectral Indices in Python.
Stars: ✭ 56 (-45.63%)
Mutual labels: xarray, google-earth-engine
pssaSingular Spectrum Analysis for time series forecasting in Python
Stars: ✭ 119 (+15.53%)
Mutual labels: time-series-analysis
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.
Stars: ✭ 83 (-19.42%)
Mutual labels: time-series-analysis
starfm4pyThe STARFM fusion model for Python
Stars: ✭ 86 (-16.5%)
Mutual labels: earth-observation
ARIMASimple python example on how to use ARIMA models to analyze and predict time series.
Stars: ✭ 169 (+64.08%)
Mutual labels: time-series-analysis
xarray-beamDistributed Xarray with Apache Beam
Stars: ✭ 83 (-19.42%)
Mutual labels: xarray
deck.gl-rasterdeck.gl layers and WebGL modules for client-side satellite imagery analysis
Stars: ✭ 60 (-41.75%)
Mutual labels: earth-observation
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.
Stars: ✭ 27 (-73.79%)
Mutual labels: time-series-analysis
EOmapsA library to create interactive maps of geographical datasets
Stars: ✭ 193 (+87.38%)
Mutual labels: earth-observation
notebooksCode examples for pyFTS
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Mutual labels: time-series-analysis
gribGolang GRIB2 parser
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Mutual labels: meteorology
arcsiSoftware to automate the production of optical analysis ready data (ARD) from Landsat, Sentinel-2 and others.
Stars: ✭ 22 (-78.64%)
Mutual labels: earth-observation
pyMeteoMeteorological routines
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Mutual labels: meteorology
trajaPython tools for spatial trajectory and time-series data analysis
Stars: ✭ 65 (-36.89%)
Mutual labels: time-series-analysis