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2020-a-gisquick-doc

Skupina A (akademický rok 2019/2020)

actinia-core

Actinia Core is an open source REST API for scalable, distributed, high performance processing of geographical data that uses mainly GRASS GIS for computational tasks (DOI: https://doi.org/10.5281/zenodo.5879231) | Tutorial: https://actinia-org.github.io/actinia-core/ | Docker: https://hub.docker.com/r/mundialis/actinia-core

basemap

cloud-detection-venus

Code for cloud detection on VENuS data

espa-packages

An alternative source for ESPA packages

espa-surface-reflectance

experiment-rcnn

just an experiment repository, based on matterport/Mask_RCNN and my own coding

geoserver-rest

Python library for management for geospatial data in GeoServer.

grass

GRASS GIS - free and open source Geographic Information System (GIS)

grass-addons

GRASS GIS Addons Repository (Manuals: https://grass.osgeo.org/grass7/manuals/addons/ | Linux-logs: https://grass.osgeo.org/addons/grass7/logs/ | Windows logs: http://wingrass.fsv.cvut.cz/grass78/x86_64/addons/latest/logs/)

grass-gis-sos-tools

My Google Summer of Code 2017 project. This is just development part. Intended GRASS GIS modules and final code will be at https://svn.osgeo.org/grass/grass-addons/

grass-gis-zacatecnik

Školení GRASS GIS pro začátečníky

grass-qt-based-gui

grass-website

Web site of GRASS GIS project (deployed from this repo twice a day)

grass_opengeohub2019

Presentations for the OpenGeoHub Summer School 2019: https://opengeohub.org/summer_school_2019

grasspt

GPT helper for GRASS GIS

istsos2

Easily manage your sensor network and distribute your data in a standard way

jeolib-miallib

jeolib-pyjeo

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

npfl114

Materials for the Deep Learning -- ÚFAL course NPFL114

owslib

Fork of original OWSLib repository. OWSLib is a Python package for client programming with Open Geospatial Consortium (OGC) web service (hence OWS) interface standards, and their related content models.

pywps

PyWPS is an implementation of the Web Processing Service standard from the Open Geospatial Consortium. PyWPS is written in Python.

road-surface-detection-aerial

Code for road surface detection on aerial openNRW data - forked from https://github.com/ctu-geoforall-lab-projects/phd-pesek-2022

scikit-image

Image processing in Python

urban-green-detection-s2

Code for urban green detection on Sentinel-2 data - forked from https://github.com/ctu-geoforall-lab-projects/phd-pesek-2022

venus-data-processing

Simple scripts for the data processing and retrieval for the Venµs satellite imagery