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TU Wien - Department of Geodesy and Geoinformation's Projects

abcraster icon abcraster

ABCRaster stands for Accuracy assessment of Binary Classified Raster. It is a package for performing validation, accuracy assessment, or comparing binary classified rasters (.tiff) versus a reference (.shp). Primary use case is to compare flood maps encoded as (1,0) in tiff file format against a reference vector from CEMS.

ascat icon ascat

Read and visualize data from the Advanced Scatterometer (ASCAT) on-board the series of Metop satellites

c3s_sm icon c3s_sm

Readers and converters for C3S Soil Moisture image and time series data. Written in Python.

cadati icon cadati

calender date and time functions in python

colorella icon colorella

colorella allows usage of colormaps from different sources

ecmwf_models icon ecmwf_models

Python package for downloading ECMWF reanalysis data and converting it into a time series format.

eotransform icon eotransform

Defines the protocol for transformations, to be used in a generic source to sink streaming concept, and provides some generic transformer implementations. Project badge

eotransform-pandas icon eotransform-pandas

Implements transformations on pandas DataFrame objects, which are then digested by other transformations.

eotransform-xarray icon eotransform-xarray

Implements transformations on xarray data structures, usually representing raster data which can then be streamed using eotransform. Project badge

equi7grid icon equi7grid

Definition of the Equi7Grid - a spatial reference optimized for global high-resolution raster data.

esa_cci_sm icon esa_cci_sm

Readers and converters for ESA CCI Soil Moisture image and time series data. Written in Python.

flagit icon flagit

ISMN quality control procedures

geospade icon geospade

GEOSPatial Abstract Data Environment - a place for classes and properties of raster and vector geometries and their operations alike

gisportal icon gisportal

Web GIS portal for use within several EC projects

gldas icon gldas

Readers and converters for data from the GLDAS Noah Land Surface Model. Written in Python.

hpar-reader icon hpar-reader

Tools to read and extract TUWien harmonic parameters.

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