2013 Simulated EnMAP Mosaics for the San Francisco Bay Area, USA

DOI

This dataset is composed of simulated EnMAP mosaics for the San Francisco Bay Area, USA. Hyperspectral imagery used for the EnMAP simulation was collected across three time periods (Spring, Summer, and Fall) in 2013 with the AVIRIS-Classic sensor flown as part of the HyspIRI Preparatory Campaign. Flight lines were simulated to EnMAP-like data using the EnMAP end-to end Simulation tool to produce 30 x 30 m imagery with 195 bands (after band removal) ranging from 423 to 2439 nm. Secondary geometric correction was applied using automatically generated tie points, and a class-wise empirical across track brightness correction was implemented to mitigate brightness gradients.

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 extract-ing 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 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).

Identifier
DOI https://doi.org/10.5880/enmap.2020.002
Related Identifier https://doi.org/10.3390/rs70708830
Related Identifier https://doi.org/10.1080/2150704X.2019.1670518
Related Identifier https://doi.org/10.1016/j.rse.2015.06.012
Related Identifier https://doi.org/10.1016/j.rse.2005.12.003
Related Identifier https://doi.org/10.3390/rs9070676
Related Identifier https://doi.org/10.1109/JSTARS.2012.2188994
Related Identifier https://doi.org/10.1016/j.rse.2015.02.010
Related Identifier http://www.enmap.org/?q=flights
Related Identifier https://doi.org/10.2312/enmap.2020.002
Related Identifier https://doi.org/10.1016/j.rse.2020.111856
Metadata Access http://doidb.wdc-terra.org/oaip/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:doidb.wdc-terra.org:6864
Provenance
Creator Cooper, Sam (Humboldt-Universität zu Berlin, Berlin, Germany); Okujeni, Akpona (Humboldt-Universität zu Berlin, Berlin, Germany); Jänicke, Clemens (Humboldt-Universität zu Berlin, Berlin, Germany); Segl, Karl (GFZ German Research Centre for Geosciences, Potsdam, Germany); van der Linden, Sebastian (Universität Greifswald, Greifswald, Germany); Hostert, Patrick (Humboldt-Universität zu Berlin, Berlin, Germany)
Publisher GFZ Data Services
Contributor Cooper, Sam; Okujeni, Akpona; van der Linden, Sebastian
Publication Year 2020
Funding Reference Bundesministerium für Wirtschaft und Energie
Rights CC BY 4.0
OpenAccess true
Contact Cooper, Sam (Humboldt-Universität zu Berlin); Okujeni, Akpona (Humboldt-Universität zu Berlin); van der Linden, Sebastian (Universität Greifswald)
Representation
Resource Type Dataset
Discipline Geodesy, Geoinformatics and Remote Sensing
Spatial Coverage (-123.520W, 36.380S, -120.760E, 39.060N); Spring Bay Area Mosaic; Summer Bay Area Mosaic; Fall Bay Area Mosaic