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Remote Sens. 2015, 7(9), 11249-11266; doi:10.3390/rs70911249

The EnMAP-Box—A Toolbox and Application Programming Interface for EnMAP Data Processing

Humboldt-Universität zu Berlin, Geography Department, Unter den Linden 6, 10099 Berlin, Germany
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Author to whom correspondence should be addressed.
Academic Editors: Michael Rast, Saskia Foerster, Véronique Carrere, Karl Staenz, Lenio Soares Galvao, Richard Müller and Prasad S. Thenkabail
Received: 29 May 2015 / Revised: 24 August 2015 / Accepted: 27 August 2015 / Published: 1 September 2015
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Abstract

The EnMAP-Box is a toolbox that is developed for the processing and analysis of data acquired by the German spaceborne imaging spectrometer EnMAP (Environmental Mapping and Analysis Program). It is developed with two aims in mind in order to guarantee full usage of future EnMAP data, i.e., (1) extending the EnMAP user community and (2) providing access to recent approaches for imaging spectroscopy data processing. The software is freely available and offers a range of tools and applications for the processing of spectral imagery, including classical processing tools for imaging spectroscopy data as well as powerful machine learning approaches or interfaces for the integration of methods available in scripting languages. A special developer version includes the full open source code, an application programming interface and an application wizard for easy integration and documentation of new developments. This paper gives an overview of the EnMAP-Box for users and developers, explains typical workflows along an application example and exemplifies the concept for making it a frequently used and constantly extended platform for imaging spectroscopy applications. View Full-Text
Keywords: : EnMAP; toolbox; imaging spectroscopy; hyperspectral; imageSVM; hubAPI; machine learning : EnMAP; toolbox; imaging spectroscopy; hyperspectral; imageSVM; hubAPI; machine learning
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

van der Linden, S.; Rabe, A.; Held, M.; Jakimow, B.; Leitão, P.J.; Okujeni, A.; Schwieder, M.; Suess, S.; Hostert, P. The EnMAP-Box—A Toolbox and Application Programming Interface for EnMAP Data Processing. Remote Sens. 2015, 7, 11249-11266.

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