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MDCS is an acronym for Mosaic Dataset Configuration Script and is the entry point to a collection of Python classes/libraries that could be consumed by a Python client application to complete a given workflow for creating a mosaic dataset, populating it with data, and setting all required/desired parameters.

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mdcs-py

The Mosaic Dataset Configuration Script (MDCS) is a Python script that reads parameters stored in an xml file in order to create, configure, and populate a mosaic dataset.

If you want to try out MDCS, review the documentation included in the repo for instructions, and download the suggested sample data from ArcGIS Online.

Features

  • Automate the creation of multiple mosaic datasets
  • Configure multiple mosaic datasets using XML files
  • Built-in verbose reporting and logging system
  • Command line usage via batch files

Instructions

  1. Download the ZIP file (called mdcs-py-master.zip)
  2. Create a folder called Image_Mgmt_Workflows in the root of your C: drive
  3. Unzip the contents of the MDCS ZIP file into the Image_Mgmt_Workflows folder

Suggested Requirements

Resources

Issues

Find a bug or want to request a new feature? Please let us know by submitting an issue.

Contributing

Anyone and everyone is welcome to contribute.

Licensing

Copyright 2012 Esri

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

A copy of the license is available in the repository's license.txt file.

[](Esri Tags: MDCS Mosaic Datasets Imagery Management) [](Esri Language: Python)

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MDCS is an acronym for Mosaic Dataset Configuration Script and is the entry point to a collection of Python classes/libraries that could be consumed by a Python client application to complete a given workflow for creating a mosaic dataset, populating it with data, and setting all required/desired parameters.

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