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How valuable are citizen science data for a space-borne crop growth monitoring? – The reliability of self-appraisals

Truckenbrodt, Sina und Klan, Friederike und Borg, Erik und Missling, Klaus-Dieter und Schmullius, Christiane (2020) How valuable are citizen science data for a space-borne crop growth monitoring? – The reliability of self-appraisals. EGU General Assembly 2020, 2020-05-03 - 2020-05-08, Wien, Austria.

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Kurzfassung

Space-borne Earth Observation (EO) data depicting vegetation covered land surfaces contain insufficient information for an unambiguous interpretation of the spectral signal in terms of variables that characterize the vegetation state (e.g., leaf area index, leaf chlorophyll content and proportion of senescent material). For the retrieval of vegetation properties from EO data, an optimal estimate of the state variables needs to be found. The uncertainty of such an estimate can be reduced by combining EO data and in situ data. Information provided by citizens represents a valuable and mostly inexpensive source for in situ data. Since the quality of such data can be diverse, the consideration of uncertainties is of great importance. In this contribution, we present a concept for the elicitation of local knowledge from citizens with respect to the application of management practices (e.g., sowing and harvesting date, irrigation) and the instantaneous state of crops. The concept includes the acquisition of in situ data as well as an uncertainty assessment (precision and/or accuracy). The latter involves a profiling in which inherent uncertainties are quantified for individual citizens. This concept was tested for agricultural fields of the Durable Environmental Multidisciplinary Monitoring Information Network (DEMMIN) test site in Northeast Germany. Within the frame of several field seminars, students were requested to assess management practices and the instantaneous state of crops. Furthermore, they assessed their own ability to create valid data. They filled in pseudonymized questionnaires from which we created corresponding datasets. At the same day, field data were collected with appropriate equipment and can be used as reference against which student estimates can be compared. The level of compliance between estimated and measured data was determined on an individual basis. The results of this analysis will be presented. Conclusions will be drawn regarding the ability of the students to evaluate their own skills. In addition, we will demonstrate an approach for a digital ascertainment of in situ data. In the future, this approach will be used to collect in situ data for the setup of refined prior information within the frame of the Earth Observation Land Data Assimilation System (EO-LDAS).

elib-URL des Eintrags:https://elib.dlr.de/136719/
Dokumentart:Konferenzbeitrag (Poster)
Titel:How valuable are citizen science data for a space-borne crop growth monitoring? – The reliability of self-appraisals
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Truckenbrodt, SinaTruckenbrodt, Sina (Sina.Truckenbrodt (at) dlr.de)https://orcid.org/0000-0002-6016-3747NICHT SPEZIFIZIERT
Klan, FriederikeFriederike.Klan (at) dlr.dehttps://orcid.org/0000-0002-1856-7334NICHT SPEZIFIZIERT
Borg, ErikErik.Borg (at) dlr.dehttps://orcid.org/0000-0001-8288-8426NICHT SPEZIFIZIERT
Missling, Klaus-DieterKlaus-Dieter.Missling (at) dlr.dehttps://orcid.org/0000-0002-9995-8803NICHT SPEZIFIZIERT
Schmullius, ChristianeFSU Jena, Institut für Geographie Lehrstuhl Fernerkundung, c.schmullius (at) uni-jena.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:5 Mai 2020
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Seitenbereich:Seite 1
Status:veröffentlicht
Stichwörter:Citizen Science, Earth Observation, Local Knowledge, Accuracy and uncertainty Analysis
Veranstaltungstitel:EGU General Assembly 2020
Veranstaltungsort:Wien, Austria
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:3 Mai 2020
Veranstaltungsende:8 Mai 2020
HGF - Forschungsbereich:keine Zuordnung
HGF - Programm:keine Zuordnung
HGF - Programmthema:keine Zuordnung
DLR - Schwerpunkt:keine Zuordnung
DLR - Forschungsgebiet:keine Zuordnung
DLR - Teilgebiet (Projekt, Vorhaben):keine Zuordnung, R - Fernerkundung u. Geoforschung
Standort: Jena , Neustrelitz
Institute & Einrichtungen:Institut für Datenwissenschaften > Bürgerwissenschaften
Deutsches Fernerkundungsdatenzentrum > Nationales Bodensegment
Hinterlegt von: Truckenbrodt, Sina
Hinterlegt am:25 Nov 2020 15:58
Letzte Änderung:24 Apr 2024 20:38

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