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EnMAP - From Data Access, Planning, Processing to Image Product Delivery

Pinnel, Nicole and Heiden, Uta and Asamer, Hubert and Dietrich, Daniele and Mühle, Helmut and Schwind, Peter and Palubinskas, Gintautas and Habermeyer, Martin and Storch, Tobias (2019) EnMAP - From Data Access, Planning, Processing to Image Product Delivery. Imaging Spectroscopy - Cooperation in Space, 2019-07-09 - 2019-07-11, ESA-ESRIN, Frascati, Italy.

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Official URL: https://nikal.eventsair.com/NikalWebsitePortal/hyperspectral-2019/website/ExtraContent/ContentPage?page=6

Abstract

EnMAP (Environmental Mapping and Analysis Program) is a German hyperspectral satellite mission anticipated to be launched by end of 2020. The EnMAP Ground Segment will be realized and operated by the German Aerospace Center (DLR) covering all aspects relevant to assure successful mission operations. This comprises amongst others hyperspectral data processing, data archiving, data dissemination, and providing web-interfaces to the international user community. This paper provides a brief insight in the concepts and design of the EnMAP user interfaces, and gives an overview of functionalities from observation request scenarios, data processing to image product delivery. The EnMAP Portal (www.enmap.org) is the central entry point for all users interested to learn about the EnMAP mission, its objectives, status, and results. In contrast the EnMAP Data Access Portal links to a set of functions for registered users that will support the international EnMAP user community. This portal includes planning support and ordering interface for data products based on future EnMAP acquisitions and a proposal portal allowing submission of proposal for all users responding to a Data Announcement of Opportunity (AO). The catalogue and order service (EOWEB® GeoPortal) allows browsing and ordering of EnMAP data products based on Level 0 that have previously been acquired, processed, and archived in the product library. A fully-automatic on-ground processing chain generates standardized calibrated image products at three levels from L1B Top-of-Atmosphere (TOA) radiances, L1C (orthorectified) to L2A atmospherically corrected Bottom-of-Atmosphere (BOA) reflectances with separate/combined algorithms for land and water applications.

Item URL in elib:https://elib.dlr.de/129033/
Document Type:Conference or Workshop Item (Poster)
Title:EnMAP - From Data Access, Planning, Processing to Image Product Delivery
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Pinnel, NicoleUNSPECIFIEDhttps://orcid.org/0000-0003-1978-3204UNSPECIFIED
Heiden, UtaUNSPECIFIEDhttps://orcid.org/0000-0002-3865-1912UNSPECIFIED
Asamer, HubertUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Dietrich, DanieleUNSPECIFIEDhttps://orcid.org/0000-0002-2682-6172UNSPECIFIED
Mühle, HelmutUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Schwind, PeterUNSPECIFIEDhttps://orcid.org/0000-0002-0498-767XUNSPECIFIED
Palubinskas, GintautasUNSPECIFIEDhttps://orcid.org/0000-0001-7322-7917UNSPECIFIED
Habermeyer, MartinUNSPECIFIEDhttps://orcid.org/0009-0002-6364-2484UNSPECIFIED
Storch, TobiasUNSPECIFIEDhttps://orcid.org/0000-0001-8853-8996UNSPECIFIED
Date:July 2019
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:EnMAP, hyperspectral, data access, processing, products
Event Title:Imaging Spectroscopy - Cooperation in Space
Event Location:ESA-ESRIN, Frascati, Italy
Event Type:international Conference
Event Start Date:9 July 2019
Event End Date:11 July 2019
Organizer:ESA
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren (old), R - Remote Sensing and Geo Research
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface Dynamics
German Remote Sensing Data Center > International Ground Segment
German Remote Sensing Data Center > Information Technology
Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Pinnel, Dr.rer.nat Nicole
Deposited On:10 Sep 2019 09:06
Last Modified:24 Apr 2024 20:32

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