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  Simulation of Spaceborne Hyperspectral Remote Sensing to Assist Crop Nitrogen Content Monitoring in Agricultural Crops

Berger [Richter], K., Wang, Z., Danner, M., Wocher, M., Mauser, W., Hank, T. (2018): Simulation of Spaceborne Hyperspectral Remote Sensing to Assist Crop Nitrogen Content Monitoring in Agricultural Crops, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium (Valencia, Spain 2018), 3801-3804.
https://doi.org/10.1109/IGARSS.2018.8518537

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Datensatz-Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5027940 Versions-Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5027940_2
Genre: Konferenzbeitrag

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 Urheber:
Berger [Richter], Katja1, Autor              
Wang, Z.2, Autor
Danner, M.2, Autor
Wocher, M2, Autor
Mauser, W.2, Autor
Hank, T.2, Autor
Affiliations:
10 Pre-GFZ, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146023              
2External Organizations, ou_persistent22              

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 Zusammenfassung: The proper management of nitrogen (N) is a pre-requisite for sustainable fertilization in modern agriculture. Methods for N - retrieval from Earth Observation (E.O.) data have been mainly based on empirical algorithms. In the present study, two methods (physically based / hybrid) for the assessment of crop nitrogen content (Narea) and concentration (Nmass) were tested. Data from a hyperspectral field campaign in the framework of the future satellite mission Environmental Mapping and Analysis Program (EnMAP) were exploited using a recalibrated PROSPECT model coupled with the canopy reflectance model 4SAIL. The physically based algorithm achieved relative errors (rRMSE) of 72% for Narea with R2=0.92 . The hybrid approach obtained higher accuracies with rRMSE lower than 16% for the retrieval of Nmass . Uncertainties of the predictor variables have to be taken into account. Both algorithms represent interesting techniques for global agricultural monitoring from hyperspectral satellite data but further analysis is required.

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Sprache(n): eng - Englisch
 Datum: 2018
 Publikationsstatus: Final veröffentlicht
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: DOI: 10.1109/IGARSS.2018.8518537
 Art des Abschluß: -

Veranstaltung

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Titel: IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
Veranstaltungsort: Valencia, Spain
Start-/Enddatum: 2018-07-22 - 2018-07-27

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Titel: IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
Genre der Quelle: Konferenzband
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 3801 - 3804 Identifikator: Publisher: Institute of Electrical and Electronics Engineers (IEEE)