2013 Simulated EnMAP Mosaics for the Santa Barbara region, USA

DOI

This dataset is composed of three-season simulated EnMAP mosaics for the Santa Barbara region, USA. HyspIRI Airborne Campaign AVIRIS imagery from spring, summer and fall formed the basis for simulating EnMAP data with 30 m spatial resolution and 195 spectral bands ranging from 420 to 2450 nm. The mosaics are provided as Analysis-Ready-Datasets (tiled surface reflectance products) to be used for regional-scale and multi-season hyperspectral image analysis of California’s diverse ecoregions. The dataset primarily intends to support the development of processing algorithms and to demonstrate spaceborne hyperspectral data capabilities during the pre-launch activities of the forthcoming EnMAP mission. This dataset was processed in line with companion simulated EnMAP mosaics for the San Francisco Bay Area and for the Lake Tahoe region.

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.2021.002
Related Identifier https://doi.org/10.48440/enmap.2021.002
Related Identifier https://doi.org/10.5880/enmap.2020.002
Related Identifier https://doi.org/10.1016/j.rse.2020.111856
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/10.5880/enmap.2021.003
Related Identifier https://doi.org/10.1016/j.rse.2021.112558
Related Identifier https://doi.org/10.3390/rs9070676
Related Identifier https://doi.org/10.1016/j.rse.2005.12.003
Related Identifier https://doi.org/10.1109/JSTARS.2012.2188994
Related Identifier https://doi.org/10.1016/j.rse.2015.02.010
Related Identifier https://www.enmap.org/data_tools/flights/
Metadata Access http://doidb.wdc-terra.org/oaip/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:doidb.wdc-terra.org:7140
Provenance
Creator Okujeni, Akpona ORCID logo; Cooper, Sam ORCID logo; Segl, Karl ORCID logo; van der Linden, Sebastian ORCID logo; Hostert, Patrick ORCID logo
Publisher GFZ Data Services
Contributor Okujeni, Akpona; Cooper, Sam; van der Linden, Sebastian
Publication Year 2021
Funding Reference Bundesministerium für Wirtschaft und Energie, 50EE1622
Rights CC BY 4.0; http://creativecommons.org/licenses/by/4.0/
OpenAccess true
Contact Okujeni, Akpona (Humboldt-Universität zu Berlin, Berlin, Germany); Cooper, Sam (Humboldt-Universität zu Berlin, Berlin, Germany); van der Linden, Sebastian (Universität Greifswald, Greifswald, Germany)
Representation
Resource Type Dataset
Discipline Geodesy, Geoinformatics and Remote Sensing
Spatial Coverage (-120.800W, 34.000S, -118.210E, 35.900N); regional scale, mulit-season
Temporal Point 2013-04-20T00:00:00Z