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Spectral Imaging within EDEN ISS for Plant Health and Productivity Assessment

Ferl, Robert and Paul, Anna-Lisa and Callaham, Jordan and Beisel, Nicole and Taylor, Dylan and Bamsey, Matthew and Schubert, Daniel and Zeidler, Conrad (2017) Spectral Imaging within EDEN ISS for Plant Health and Productivity Assessment. 33rd Annual Meeting of the American Society for Gravitational and Space Research (ASGSR) 2017, 25-28 Oct. 2017, Seattle, USA.

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Abstract

EDEN ISS is a large multinational project, headed by the German Aerospace Center (DLR), to advance controlled environment agriculture and life support technologies. The project draws upon and extends lessons from the International Space Station (ISS), and places those lessons within a ground demonstration module deployed at the Neumayer III Antarctic station. EDEN ISS focusses on cultivation technologies for two exploration applications: spaceflight deployment within a module that allows simulation of safe food production on-board the ISS, and for utilization in future human space exploration vehicles and planetary outposts. These overall project goals connect the planetary surface analog concepts to near term operations of ISS and potential cis-lunar habitats. In addition to providing fresh produce to Neumayer Station III overwintering crews, the system will validate key plant growth system technologies and operational protocols for bioregenerative life support systems, while exploring science that may enhance these aims through remote monitoring of plant health, growth and development. Among the technologies to be developed and deployed will be imagers based on GoPro cameras modified to collect multi-wavelength data to equip the plant growth systems with the capacity to evaluate variations of Differential Vegetation Indices, a technology primarily restricted to the sunlight driven satellite-based uses of Normalized Differential Vegetation Index (NDVI). The use of NDVI-like approaches in systems like EDEN ISS that are highly controlled, especially for lighting inputs, is just beginning to be explored. The imaging project involves an integrated science backroom that will remotely assess the images and provide input to the plant production team on site. Project concepts and the development of NDVI like imaging with EDEN-ISS will be presented with a focus on the initial images that have examined differential pixel math specifically to anticipate stress responses prior to typical visible changes. The participation of ALP, JAC and RJF is supported by grants to RJF and ALP from NASA Space Life and Physical Sciences through KSC (including 17-NUP2017-0020) and the Florida Space Grant Consortium (UF NNX15 TO 016).

Item URL in elib:https://elib.dlr.de/118474/
Document Type:Conference or Workshop Item (Speech)
Title:Spectral Imaging within EDEN ISS for Plant Health and Productivity Assessment
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Ferl, RobertUNSPECIFIEDUNSPECIFIED
Paul, Anna-LisaUNSPECIFIEDUNSPECIFIED
Callaham, JordanUNSPECIFIEDUNSPECIFIED
Beisel, NicoleUNSPECIFIEDUNSPECIFIED
Taylor, DylanUNSPECIFIEDUNSPECIFIED
Bamsey, MatthewMatthew.Bamsey (at) dlr.deUNSPECIFIED
Schubert, DanielDaniel.Schubert (at) Dlr.deUNSPECIFIED
Zeidler, Conradconrad.zeidler (at) dlr.deUNSPECIFIED
Date:28 October 2017
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Multi-wavelength imaging, Plant health monitoring, EDEN ISS
Event Title:33rd Annual Meeting of the American Society for Gravitational and Space Research (ASGSR) 2017
Event Location:Seattle, USA
Event Type:international Conference
Event Dates:25-28 Oct. 2017
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Technik für Raumfahrtsysteme
DLR - Research theme (Project):R - Systemanalyse Raumsegment
Location: Bremen
Institutes and Institutions:Institute of Space Systems > System Analysis Space Segment
Deposited By: Vrakking, Vincent
Deposited On:30 Jan 2018 11:20
Last Modified:30 Jan 2018 11:20

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