MetaGETA (Metadata Gathering, Extraction and Transformation Application)

Search for, extract and transform metadata for spatial imagery data.

Introduction

MetaGETA is a python application for discovering and extracting metadata from spatial raster datasets (metadata crawler) and transforming it into xml (metadata transformation). A number of generic and specialised imagery formats are supported. The format support has a plugin architecture and more formats can easily be added.

News

14 March 2012 - MetaGETA 1.3.6 has been released! See the Changelog for details.

Features

Search for supported data formats on your local or network file system
Automatically extract file and format specific metadata
Automatically populate an MS Excel file with the metadata
Automatically generate quicklooks and thumbnails for each metadata record
Manually supplement metadata records with additional metadata fields
Transform the MS Excel file to ANZLIC profile ISO19115/19139 xml as a bundled (includes quicklooks and thumbnails) MEF suitable for upload to Geonetwork.

Note: You can write your own translation stylesheet to meet the requirements of your target profile

Subsequent metadata crawls may be used to update records when data is added to or removed from the file system
Enables flagging of records in MS Excel that should not be included in the transformed xml i.e. maintains a record of but does not create xml metadata for redundant or irrelevant datasets