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Classification of agricultural land use and derivation of biophysical parameter using SAR and optical data

Knöfel, Patrick and Dahms, Thorsten and Borg, Erik and Conrad, Christopher (2017) Classification of agricultural land use and derivation of biophysical parameter using SAR and optical data. In: GI Edition Proceedings Band 268 Informatik in der Land-, Forst- und Ernährungswirtschaft, pp. 77-80. Gesellschaft für Informatik e.V. (GI). 37. GIL-Jahrestagung, 06.–07.03.2017, Dresden. ISBN 978-3-88579-662-6 ISSN 1617-5468

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Abstract

Agricultural monitoring is essential for global issues, which can be reflected by the terms of food security and ensuring ecosystem services. Due to the high spatial and temporal resolution of the remote sensing sensors enormous potential for precision farming has been worked out in cooperation between science and the private sector. However, the quality of field specific yield estimations, for instance, is highly influenced by the accuracy of the underlying information like land use, plant development, and stress indicators. Thus, particular knowledge about the accuracy of all the relevant indicators is crucial for agricultural monitoring. The chair of remote sensing at the University of Wuerzburg has gained a lot of expertise in this context by working on their three latest ongoing projects with agricultural focus. Within the framework of these projects, a classification and assessment tool with graphical user interface (MELanGe) was developed, which can be used for land use mapping and biophysical parameter derivation.

Item URL in elib:https://elib.dlr.de/116956/
Document Type:Conference or Workshop Item (Speech)
Title:Classification of agricultural land use and derivation of biophysical parameter using SAR and optical data
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Knöfel, Patrickpatrick.knoefel (at) uni-wuerzburg.deUNSPECIFIED
Dahms, Thorstenthorsten.dahms (at) uni-wuerzburg.deUNSPECIFIED
Borg, ErikErik.Borg (at) dlr.deUNSPECIFIED
Conrad, ChristopherChristopher.Conrad (at) uni-wuerzburg.deUNSPECIFIED
Date:2017
Journal or Publication Title:GI Edition Proceedings Band 268 Informatik in der Land-, Forst- und Ernährungswirtschaft
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 77-80
Publisher:Gesellschaft für Informatik e.V. (GI)
ISSN:1617-5468
ISBN:978-3-88579-662-6
Status:Published
Keywords:Crop classification; data mining; biophysical parameter; data fusion; R-programming
Event Title:37. GIL-Jahrestagung
Event Location:Dresden
Event Type:national Conference
Event Dates:06.–07.03.2017
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:14 Dec 2017 11:31
Last Modified:15 Mar 2018 14:02

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