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Building capacity for airborne imaging spectroscopy for Alaskan and Arctic science and applications, and HyspIRI preparatory activities

Prakash, Anupma and Haselwimmer, Christian and Hampton, Don and Kampe, Thomas and Roberts, Dar and Green, Rob and Müller, Andreas and Bachmann, Martin (2013) Building capacity for airborne imaging spectroscopy for Alaskan and Arctic science and applications, and HyspIRI preparatory activities. Proceedings of 2013 HyspIRI Science Workshop, 15 - 17 Oct 2013, Pasadena, USA.

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Official URL: http://hyspiri.jpl.nasa.gov/downloads/2013_Workshop/day3/8_HyspIRI_HyLab_Prakash_final.pdf


Item URL in elib:https://elib.dlr.de/85360/
Document Type:Conference or Workshop Item (Speech)
Title:Building capacity for airborne imaging spectroscopy for Alaskan and Arctic science and applications, and HyspIRI preparatory activities
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Prakash, AnupmaUniversity of Alaska, FairbanksUNSPECIFIED
Haselwimmer, ChristianUniversity of Alaska, FairbanksUNSPECIFIED
Hampton, DonUniversity of Alaska, FairbanksUNSPECIFIED
Kampe, ThomasNational Ecological Observatory Network (NEON)UNSPECIFIED
Roberts, DarUniversity of California, Santa BarbaraUNSPECIFIED
Green, RobNASA JPL, PasadenaUNSPECIFIED
Müller, Andreasandreas.mueller (at) dlr.deUNSPECIFIED
Bachmann, Martinmartin.bachmann (at) dlr.deUNSPECIFIED
Date:17 October 2013
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Hyperspectral, airborne sensors, HySpex, HyspIRI
Event Title:Proceedings of 2013 HyspIRI Science Workshop
Event Location:Pasadena, USA
Event Type:international Conference, Workshop
Event Dates:15 - 17 Oct 2013
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 - Vorhaben Spektrometrische Verfahren und Konzepte der Fernerkundung (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
Deposited By: Bachmann, Dr.rer.nat. Martin
Deposited On:18 Nov 2013 21:22
Last Modified:31 Jul 2019 19:42

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