2026-06-15T13:58:43Zhttp://doidb.wdc-terra.org/oaip/oai

oai:doidb.wdc-terra.org:68642026-06-10T10:03:49ZDOIDBDOIDB.ENMAP

false4DOIDB.ENMAP 10.5880/enmap.2020.002 Cooper, Sam Sam Cooper 0000-0001-9319-0015 Humboldt-Universität zu Berlin, Berlin, Germany Okujeni, Akpona Akpona Okujeni 0000-0003-4558-5885 Humboldt-Universität zu Berlin, Berlin, Germany Jänicke, Clemens Clemens Jänicke 0000-0003-3393-5665 Humboldt-Universität zu Berlin, Berlin, Germany Segl, Karl Karl Segl 0000-0001-8909-1006 GFZ German Research Centre for Geosciences, Potsdam, Germany van der Linden, Sebastian Sebastian van der Linden 0000-0001-6576-8377 Universität Greifswald, Greifswald, Germany Hostert, Patrick Patrick Hostert 0000-0002-5730-5484 Humboldt-Universität zu Berlin, Berlin, Germany GFZ Data Services 2020 Imaging Spectroscopy EnMAP Terrestrial Ecosystems Earth Remote Sensing Instruments > Passive Remote Sensing > Spectrometers/Radiometers > Imaging Spectrometers/Radiometers EARTH SCIENCE > BIOSPHERE > TERRESTRIAL ECOSYSTEMS Cooper, Sam Humboldt-Universität zu Berlin Okujeni, Akpona Humboldt-Universität zu Berlin van der Linden, Sebastian Universität Greifswald 2020-04 2013-04-10T17:52/2013-04-10T22:23 2013-06-07T18:37/2013-06-07T23:21 2013-11-22T18:13/2013-12-05T21:22 Dataset 10.3390/rs70708830 10.1080/2150704X.2019.1670518 10.1016/j.rse.2015.06.012 10.1016/j.rse.2005.12.003 10.3390/rs9070676 10.1109/JSTARS.2012.2188994 10.1016/j.rse.2015.02.010 https://www.enmap.org/data_tools/flights/ 10.3390/rs70708830 10.2312/enmap.2020.002 10.1016/j.rse.2020.111856 CC BY 4.0 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).
Spring Bay Area Mosaic -123.52 -120.76 36.38 39.06 Summer Bay Area Mosaic -123.52 -120.76 36.38 39.06 Fall Bay Area Mosaic -123.52 -120.76 36.38 39.06 Bundesministerium für Wirtschaft und Energie http://doi.org/10.13039/501100006360 50EE1622