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Modelling biophysical parameters of maize using Landsat 8 time series

Dahms, Thorsten and Seissiger, Sylvia and Borg, Erik and Conrad, Christopher (2016) Modelling biophysical parameters of maize using Landsat 8 time series. In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLI-B2, pp. 171-175. International Society for Photogrammetry and Remote Sensing (ISPRS), 12.07.-19.07.2016, Prag, Tschechien. DOI: doi:10.5194/isprs-archives-XLI-B2-171-2016

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Official URL: http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B2/171/2016/

Abstract

Open and free access to multifrequent high-resolution data (e.g. Sentinel-2) will fortify agricultural applications based on satellite data. The temporal and spatial resolution of these remote sensing datasets directly affects the applicability of remote sensing methods, for instance a robust retrieving of biophysical parameters over the entire growing season with very high geometric resolution.

Item URL in elib:https://elib.dlr.de/109138/
Document Type:Conference or Workshop Item (Poster)
Title:Modelling biophysical parameters of maize using Landsat 8 time series
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Dahms, Thorstenthorsten.dahms (at) uni-wuerzburg.deUNSPECIFIED
Seissiger, SylviaUNSPECIFIEDUNSPECIFIED
Borg, ErikErik.Borg (at) dlr.deUNSPECIFIED
Conrad, Christopherchristopher.conrad (at) uni-wuerzburg.deUNSPECIFIED
Date:2016
Journal or Publication Title:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:XLI-B2
DOI :doi:10.5194/isprs-archives-XLI-B2-171-2016
Page Range:pp. 171-175
Status:Published
Keywords:variable importance, random forests, conditional inference trees, biophysical parameters, maize
Event Title:International Society for Photogrammetry and Remote Sensing (ISPRS)
Event Location:Prag, Tschechien
Event Type:international Conference
Event Dates:12.07.-19.07.2016
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 Geowissenschaftl. Fernerkundungs- und GIS-Verfahren
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center
German Remote Sensing Data Center > National Ground Segment
Deposited By: Wöhrl, Monika
Deposited On:07 Dec 2016 15:41
Last Modified:16 Feb 2017 10:52

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