dlr-eoc/EOmetadataTool

Stars
5
Rank 2,861,937 (Top 57 %)
Language
Python
License
Other
Created almost 2 years ago
Updated 5 months ago

dlr-eoc/EOmetadataTool

dlr-eoc

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Table controlled Earth Observation metadata extractor and STAC tool

pgh3

PostgreSQL extension for the H3 hierarchical geospatial indexing system

ukis-csmask

UKIS Cloud Shadow MASK

ukis-pysat

The ukis-pysat package provides generic classes and functions to query, access and process multi-spectral and SAR satellite images

rest_framework_filterdsl

A filtering and sorting DSL for the Django REST framework

ukis-frontend-libraries

A collection of angular ui-components, services, interfaces... to help you create geospatial mapping applications for the web.

code-de-tools

Copernicus Data-access and Expoitation platform for Germany (CODE-DE) - user tools

camera

a python module for camera projections

prosEO

prosEO – A Processing System for Earth Observation Data

poitagger

A georeferencing application for drone based images

osm-ogr-tools

Tools for working with OSM data

ukis-metrics

numpy-based implementation of common performance metrics for semantic image segmentation

git-dependencies

Fetch external dependencies from their git repositories and integrate them in the working tree

ukis_kafka

Stream vector geodata over Apache Kafka

UKIS_sat2h5

Convert geospatial satellite images to H5 arrays and back keeping the spatial extent.

ukis-min_creds

Minimal floating credential service and client libraries.

ukis-h3cellstore

High-level Rust and Python libraries to store H3 cells in ClickHouse databases

ukis-data-tutorials

notebooks and collection of resources around the datasets we published

Jupyter Notebook

git-changelog

Generate changelogs from git tags

sat4ec

Code used in the project Sat4Ec: Satellite-based economic flash estimation.

ukis-paperfairgreen

ukis-migrationdetectr

Detection of migration events and segments of continuous residence based on irregular time series of location data