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1-9 of 9

AROSICS

AROSICS is an automated and robust open-source image co-registration software for multi-sensor satellite data.

Earth & Environment
Fourier Shift Theorem
Geometric Pre-processing
+ 8

Python
Makefile
Shell

129

EnPT

The Environmental Mapping and Analysis Program (EnMAP) is a German hyperspectral satellite mission that aims at monitoring and characterising Earth’s environment on a global scale. EnMAP measures and models key dynamic processes of Earth’s ecosystems by extracting geochemical, biochemical and biophy

Earth & Environment
EnMAP
Hyperspectral
+ 2

Python
Makefile
Shell

GeoMultiSens

GeoMultiSens provides an integrated processing pipeline to support the analysis of homogenized data from various remote sensing archives.

Earth & Environment
multi-sensor analysis
Remote sensing

Habitat Sampler

Habitat Sampler (HaSa, Community Version), an innovative tool that autonomously generates representative reference samples for predictive modelling of surface class probabilities.

autonomous sampling
Earth & Environment
image classification
+ 1

HTML
R
Shell

JURASSIC

The Juelich Rapid Spectral Simulation Code (JURASSIC) is a fast infrared radiative transfer model for the analysis of atmospheric remote sensing measurements.

Atmospheric science
Climate
Earth & Environment
+ 5

C
Shell
Makefile
+ 1

pycomlink

A python toolbox for deriving rainfall information from commercial microwave link (CML) data.

precipitation estimation
python
rainfall
+ 2

Jupyter Notebook
Python

PyQuickMaps

A slim python library to link maps and sampling data with prediction methods. Needs scipy, numpy, matplotlib, pykrige, osgeo, rasterio.

Data Visualization
Earth & Environment
Predictive Mapping
+ 1

Python

SpecHomo

SpecHomo is a Python package for spectral homogenization of multispectral satellite data, i.e., for the transformation of the spectral information of one sensor into the spectral domain of another one.

Earth & Environment
Remote sensing
spectral homogenization

Python
Makefile
Shell

ukis-csmask

UKIS Cloud Shadow MASK (ukis-csmask) package masks clouds and cloud shadows in Sentinel-2, Landsat-9, Landsat-8, Landsat-7 and Landsat-5 images. Masking is performed with a pre-trained convolution neural network. It is fast and works directly on Level-1C data (no atmospheric correction required).

Earth & Environment
Image processing
python
+ 1

Python