elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Contact | Deutsch
Fontsize: [-] Text [+]

The Future Spaceborne Hyperspectral Imager EnMAP: Its Calibration, Validation, and Processing Chain

Storch, Tobias and de Miguel, Amaia and Müller, Rupert and Müller, Andreas and Neumann, Andreas and Walzel, Thomas and Bachmann, Martin and Palubinskas, Gintautas and Lehner, Manfred and Richter, Rudolf and Borg, Erik and Fichtelmann, Bernd and Heege, Thomas and Schroeder, Manfred and Reinartz, Peter (2008) The Future Spaceborne Hyperspectral Imager EnMAP: Its Calibration, Validation, and Processing Chain. In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVII (B1), pp. 1265-1270. International Society for Photogrammetry and Remote Sensing. ISPRS Conference 2008, 2008-07-03 - 2008-07-11, Beijing, China. ISSN 1682-1750

Full text not available from this repository.

Official URL: http://www.isprs.org/publications.html

Abstract

The Applied Remote Sensing Cluster of the German Aerospace Center (DLR) is responsible for the establishment of the payload ground segment for the future German hyperspectral satellite mission EnMAP (Environmental Mapping and Analysis Program), which is planned to be launched in 2012. EnMAP covers the spectrum from 420 nm to 2450 nm with a spectral resolution of at least 10 nm and a spatial resolution of 30 m x 30 m with a swath width of 30 km. The primary goal of EnMAP is to quantify and analyze diagnostic parameters describing key processes on the Earth’s surface. To achieve high-quality and consistent data with respect to the same and other missions, extensive calibration and validation activities are foreseen during the five years of mission operations. The calibration results will be integrated in the processing chain to obtain standardized products, which include radiometric, geometric, and atmospheric correction. Here we focus on the following three aspects of the EnMAP mission: (a) analysis of data of the various calibration sources, (b) geometric processing with precise orbit and attitude data as well as atmospheric correction, and (c) supporting ground, airborne, and spaceborne campaigns to assess the quality of the output data delivered by the processing chain.

Document Type:Conference or Workshop Item (Speech, Paper)
Title:The Future Spaceborne Hyperspectral Imager EnMAP: Its Calibration, Validation, and Processing Chain
Authors:
AuthorsInstitution or Email of Authors
Storch, TobiasUNSPECIFIED
de Miguel, AmaiaUNSPECIFIED
Müller, RupertUNSPECIFIED
Müller, AndreasUNSPECIFIED
Neumann, AndreasUNSPECIFIED
Walzel, ThomasUNSPECIFIED
Bachmann, MartinUNSPECIFIED
Palubinskas, GintautasUNSPECIFIED
Lehner, ManfredUNSPECIFIED
Richter, RudolfUNSPECIFIED
Borg, ErikUNSPECIFIED
Fichtelmann, BerndUNSPECIFIED
Heege, ThomasEOMAP GmbH & Co. KG
Schroeder, ManfredUNSPECIFIED
Reinartz, PeterUNSPECIFIED
Date:2008
Journal or Publication Title:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Refereed publication:No
In SCOPUS:No
In ISI Web of Science:No
Volume:XXXVII
Page Range:pp. 1265-1270
Publisher:International Society for Photogrammetry and Remote Sensing
ISSN:1682-1750
Status:Published
Keywords:EnMAP, Remote Sensing, Space Photogrammetry, Hyperspectral, Calibration, Processing, Software System
Event Title:ISPRS Conference 2008
Event Location:Beijing, China
Event Type:international Conference
Event Dates:2008-07-03 - 2008-07-11
Organizer:International Society for Photogrammetry and Remote Sensing
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Projekt EnMap / Bodensegment (old)
Location: Neustrelitz , Berlin-Adlershof , Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute
German Remote Sensing Data Center > Environment and Security
Remote Sensing Technology Institute > Marine Remote Sensing
Remote Sensing Technology Institute > Photogrammetry and Image Analysis
German Remote Sensing Data Center
Deposited By: Dr.rer.nat. Tobias Storch
Deposited On:23 Jul 2008
Last Modified:09 Dec 2011 11:59

Repository Staff Only: item control page

Browse
Search
Help & Contact
Informationen
electronic library is running on EPrints 3.3.12
Copyright © 2008-2012 German Aerospace Center (DLR). All rights reserved.