[general]
name=EnMAP-Box 3
author=Andreas Janz, Benjamin Jakimow, Sebastian van der Linden, Fabian Thiel, Henrike Dierkes
email=enmapbox@enmap.org
description=Imaging Spectroscopy and Remote Sensing for QGIS
version=3.16.4
qgisMinimumVersion=3.38
qgisMaximumVersion=3.99
about=<p>The EnMAP-Box is a QGIS plug-in to visualize and process remote sensing data.It has been particularly developed to handle data and products from the imaging spectrometerEnMAP (Environmental Mapping and Analysis Program, <a href="https://www.enmap.org/">www.enmap.org</a>).</p><h4>References</h4><p>Project: <a href="https://enmap-box.readthedocs.io">https://enmap-box.readthedocs.io</a>.</p><p>Source Code: <a href="https://github.com/EnMAP-Box/enmap-box">https://github.com/EnMAP-Box/enmap-box</a>.</p><p>Publication: Jakimow, B., Janz, A., Thiel, F., Okujeni, A., Hostert, P., van der Linden, S., 2023. EnMAP-Box:Imaging spectroscopy in QGIS. SoftwareX 23, 101507,doi <a href="https://doi.org/https://doi.org/10.1016/j.softx.2023.101507">10.1016/j.softx.2023.101507</a>.</p><p>Environmental Mapping and Analysis Program (EnMAP): <a href="https://www.enmap.org">https://www.enmap.org</a>.</p><h4>Licence</h4><p>The EnMAP-Box is licensed under the GNU General PublicLicence. <a href="https://www.gnu.org/licenses/gpl-3.0">https://www.gnu.org/licenses/gpl-3.0</a>.</p><h4>Acknowledgements</h4><p>The EnMAP-Box is developed at Humboldt-Universität zu Berlin under contract by the Helmholtz CentrePotsdam GFZ and is part of the EnMAP Core Science Team activities.It is funded by the German Aerospace Centre (DLR) - Project Management Agency,granted by the <a href="https://www.bmbf.de">Federal Ministry of Research, Technology and Space</a>(BMFTR; grant no. <a href="https://foerderportal.bund.de/foekat/jsp/SucheAction.do?actionMode=view&amp;fkz=50EE2401A">50EE2401A</a>).</p>
icon=icon.png
tags=raster, analysis, imaging spectroscopy, spectral, hyperspectral, multispectral, landsat, sentinel, enmap, desis, prisma, emit, land cover, landscape, classification, regression, unmixing, remote sensing, mask, accuracy, clip, spectral signature, supervised classification, clustering, machine learning, google earth engine
category=https://github.com/EnMAP-Box/enmap-box.git
hasProcessingProvider=yes
homepage=https://enmap-box.readthedocs.io/
tracker=https://github.com/EnMAP-Box/enmap-box/issues
repository=https://github.com/EnMAP-Box/enmap-box.git
plugin_dependencies=Google Earth Engine

changelog=