EnGeoMAP Test Data: Simulated EnMAP Satellite Data for Mountain Pass, USA and Rodalquilar, Spain


This data pubilcation includes EnMAP-like imaging spectroscopy data files to be used for mineral mapping with the EnMAP BOX software. It is simulated EnMAP satellite data, which is based on hyperspectral flight campaign data with the AVIRIS-NG and HyMap sensors. In preparation of the EnMAP satellite mission, an EnMAP BOX software package provides tools for visualization and scientific analysis of the data. Among many applications, the EnMAP BOX contains geological mapping tools (EnGeoMAP). Here we apply these tools to several representative test cases (Boesche, 2015; Boesche et al. 2016; Mielke et al., 2016). The test data comprise two study sites. The first scene covers the Mountain Pass open pit mine - a carbonatite deposit in California, USA. It contains calcitic rock units and rare earth element (REE) bearing minerals of the bastnaesite group, also called fluorocarbonates (Olson et al., 1954). The REE concentrations at mountain pass are 9.2% on average, among the highest in the world (Brüning and Böhmer, 2011). The high concentration and the open pit activities make Mountain Pass an ideal test site to investigate the rare earth element distribution in the surface layer. The airborne image data were collected in 2014 by Jet Propulsion Laboratory (JPL), USA, with the AVIRIS-NG sensor and form the basis for EnMAP simulations (Segl et al., 2012; Thompson et al., 2015). The second HyMap spectral image data covers part of the Miocene Cabo de Gata Nίjar volcanic field, in southeast Spain. It comprises a subset of (Chabrillat et al., 2016) covering the Rodalquilar and Lomilla Calderas, which host the economically relevant gold-silver, lead-zinc-silver-gold and alunite deposits. It is a hydrothermal alteration complex, representing the silicic alteration, the advanced argillic alteration zone, which grades into the argillic and propylitic zone (Arribas et al., 1995, 1989). The image data are part of the Cabo de Gata Nίjar HyMap imagery which was collected during the DLR HyEurope airborne campaign 2005 in the frame of the GFZ land degradation program (Chabrillat et al., 2016, 2005).

We use these datasets to simulate EnMAP-like images for classification and mapping using spectroscopic remote sensing techniques in the EnGeoMAP tools. The EnMAP end-to-end Simulation (EeteS) tool produced simulated EnMAP like data with a spatial sampling distance of 30 x 30 m and 242 spectral bands (Guanter et al., 2015; Segl et al., 2012). File format for both sites: Band Sequential Image Files (.bsq) and file header (.hdr). The full description of the datasets is given in the associated data report by Boesche et al. (2016).

The Environmental Mapping and Analysis Program (EnMAP) is a German hyperspectral satellite mission that aims at monitoring and characterizing the Earth’s environment on a global scale. EnMAP serves to measure and model key dynamic processes of the Earth’s ecosystems by extracting geochemical, biochemical and biophysical parameters, which provide information on the status and evolution of various terrestrial and aquatic ecosystems. In the frame of the EnMAP preparatory phase, pre-flight campaigns including airborne and in-situ measurements in different environments and for several application fields are being conducted. The main purpose of these campaigns is to support the development of scientific applications for EnMAP. In addition, the acquired data are input in the EnMAP end-to-end simulation tool (EeteS) and are employed to test data pre-processing and calibration-validation methods. The campaign data are made freely available to the scientific community under a Creative Commons Attribution-ShareAlike 4.0 International License. An overview of all available data is provided in in the EnMAP Flight Campaigns Metadata Portal http://www.enmap.org/?q=flights.

DOI https://doi.org/10.5880/enmap.2016.001
Related Identifier https://nbn-resolving.org/urn:nbn:de:kobv:517-opus4-85363
Related Identifier https://doi.org/10.2312/enmap.2016.003
Related Identifier http://www.earsel.org/workshops/IS_Warsaw_2005/papers/Terrestial_Ecosystems/13_Chabrillat_113_118.pdf
Related Identifier https://doi.org/10.2312/enmap.2016.001
Related Identifier https://doi.org/10.3390/rs70708830
Related Identifier https://doi.org/10.3390/rs8020127
Related Identifier http://pubs.usgs.gov/pp/0261/report.pdf
Related Identifier https://doi.org/10.1109/JSTARS.2012.2188994
Related Identifier http://www.enmap.org/?q=flights
Related Identifier https://doi.org/10.1016/j.rse.2015.02.010
Metadata Access http://doidb.wdc-terra.org/oaip/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:doidb.wdc-terra.org:6193
Creator Boesche, Nina K. (GFZ German Research Centre for Geosciences, Potsdam, Gemany); Mielke, Christian (GFZ German Research Centre for Geosciences, Potsdam, Gemany); Segl, Karl (GFZ German Research Centre for Geosciences, Potsdam, Gemany); Chabrillat, Sabine (GFZ German Research Centre for Geosciences, Potsdam, Gemany); Rogass, Christian (GFZ German Research Centre for Geosciences, Potsdam, Gemany); Thomson, David (Jet Propulsion Laboratory (JPL), 4800 Oak Grove Drive, Pasadena, CA 91109, USA); Lundeen, Sarah (Jet Propulsion Laboratory (JPL), 4800 Oak Grove Drive, Pasadena, CA 91109, USA); Brell, Maximilian (GFZ German Research Centre for Geosciences, Potsdam, Gemany); Guanter, Luis (GFZ German Research Centre for Geosciences, Potsdam, Gemany)
Publisher GFZ Data Services
Contributor Foerster, Saskia; Elger, Kirsten
Publication Year 2016
Rights CC BY-SA 4.0
OpenAccess true
Language English
Format application/octet-stream
Size 36514690 Bytes; 4 Files
Discipline Geodesy, Geoinformatics and Remote Sensing
Spatial Coverage (-115.569W, 35.463S, -115.508E, 35.495N); Mountain Pass; Rodalquilar