mundialis

mundialis's repositories

esa-snap

Docker image of ESA Sentinel Application Platform (SNAP) from http://step.esa.int/main/toolboxes/snap/ . Download at https://hub.docker.com/r/mundialis/esa-snap

Language:DockerfileGPL-3.030 7 8

openNRW

Scripts to process openNRW data

Language:ShellGPL-3.012 6 1

geoserver-grass-raster-datastore

GeoServer datastore that can access GRASS rasters (also timeseries) via the GRASS-GDAL bridge

Language:JavaApache-2.05 12 2

docker-sen2cor

Docker image containing sen2cor atmospheric correction software

Language:Dockerfile2 20

r.learn.predict.parallel

GRASS GIS addon for running r.learn.predict in parallel

Language:PythonGPL-3.02 8 1

t.rast.sample

Samples a space time raster dataset at specific vector point coordinates and write the output into a file or stdout

Language:Python2 60

g.extension.github

GRASS GIS Addon to download and install, remove or update extensions (addons) from the official GRASS GIS Addons repository.

Language:PythonGPL-3.01 6 2

g.message.stdout

GRASS GIS module to write a message to stdout

Language:PythonGPL-3.01 6 1

g.region.area

GRASS GIS addon to compute the area in sqm and compare it with a given maximum

Language:PythonGPL-3.01 6 1

grass-gis-helpers

Python library with helper functions for GRASS GIS addon development

Language:PythonAGPL-3.01 4 4

i.sentinel_1

i.sentinel_1 is a GRASS GIS addon toolset that searches, downloads, imports and preprocesses SAR data from the Alaska Satellite Facility using ESA's SNAP software

Language:PythonGPL-3.01 6 1

i.up42.import

GRASS GIS addon: Imports Pléiades data using the Python SDK from UP42

Language:PythonGPL-3.01 6 1

openeo-python-client

Python client API for OpenEO

Language:PythonApache-2.01 20

r.change.stats

GRASS GIS addon that calculates change statistics from two discrete raster maps.

Language:PythonAGPL-3.01 6 1

r.colors.lc

GRASS GIS addon: Sets the colors for a land cover classification

Language:PythonGPL-3.01 6 1

r.import.ghs

GRASS GIS addon, downloads and imports Global Human Settlement data (provided by the JRC, European Commission)

Language:PythonGPL-3.01 6 2

r.import.gong_lc

GRASS GIS addon: Downloads and imports Gong et al. global land cover raster map

Language:PythonGPL-3.01 6 2

GRASS GIS Addon to remove clouds (e.g. Sentinel-2, Landsat), aiming at filling raster gaps using r.series and r.series.lwr and aggregates temporally the maps of a space time raster dataset by a user defined granularity using t.rast.aggregate

Language:PythonGPL-3.01 60

v.colors.to.rast

GRASS GIS addon: Sets raster colors to color from color_column of referencemap

Language:PythonGPL-3.01 6 2

v.disaggregate.population

GRASS GIS addon v.disaggregate.population: Disaggregation of low resolution population data at administrative boundary level with high-res auxiliary data into a high-res raster with estimated local population

Language:PythonGPL-3.01 6 1

v.divide.training_validation

Divides data into training and validation data

Language:Python1 6 1

v.in.area

Checks if the input vector map (geometry type is points or polygons) is partly inside a given area

Language:PythonGPL-3.01 6 1

github-workflows

Reusable GitHub workflows by mundialis

Language:Shell04 4

tile-indices

Different tile indices for different German open data data sets including the scripts to create these indices

Language:Python04 1

docker-pdal

Dockerimage for PDAL

Language:DockerfileGPL-3.006 1

grass-addons

Overview of mundialis GRASS GIS addons

Language:JavaScript000

r.dem.import

GRASS GIS toolset for the import of digital elevation models (DEMs; German: DOMs). It includes import addons for the open geodata elevation models for Germany.

Language:PythonGPL-3.003 2

r.geoserver

Collection of GRASS GIS addons to publish and style GRASS GIS data with GeoServer as WMS

Language:PythonGPL-3.006 1

v.example

Example GRASS GIS addon to copy and use to create own addons

Language:Python04 3

v.out.geojson

GRASS GIS addon to rescale raster values for optimized RGB visualization

Language:PythonGPL-3.007 2