Biomass Assessment of Agricultural Crops Using Multi-temporal Dual-Polarimetric TerraSAR-X Data.

Ahmadian, Nima; Ullmann, Tobias; Verrelst, Jochem; Borg, Erik; Zölitz, Reinhard; Conrad, Christopher

Ahmadian, Nima; Ullmann, Tobias; Verrelst, Jochem; Borg, Erik; Zölitz, Reinhard; Conrad, Christopher.

Afiliación

Ahmadian N; Department of Remote Sensing, Institute of Geography and Geology, University of Wuerzburg, Oswald-Külpe-Weg 86, 97074 Würzburg, Germany.
Ullmann T; Department of Physical Geography, Institute of Geography and Geology, University of Wuerzburg, Am Hubland, 97072 Würzburg, Germany.
Verrelst J; Image Processing Laboratory (IPL), Parc Científic, Universitat de Valencia, 46980 Paterna, Valencia, Spain.
Borg E; German Aerospace Center (DLR), German Remote Sensing Data Center, National Ground Segment, Kalkhorstweg 53, 17235 Neustrelitz, Germany.
Zölitz R; Faculty of Natural Science and Mathematics, Institute of Geography and Geology, University of Greifswald, Friedrich-Ludwig-Jahn-Straße 16 D, 17487 Greifswald, Germany.
Conrad C; Institute of Geosciences and Geography, University of Halle, Von-Seckendorff-Platz 4, 06120 Halle, Germany.

J Photogramm Remote Sens Geoinform Sci ; 87: 159-175, 2019 Oct.

Article en En | MEDLINE | ID: mdl-36066912

Palabras clave

Agricultural crop; Biomass; Biomasse; DEMMIN; Landwirtschaftliche Kulturpflanzen; Random Forest; Random Forest (RF); Schrittweise Regression; Stepwise regression; TerraSAR-X; Water Cloud Model (WCM); Water cloud model (WCM)

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: J Photogramm Remote Sens Geoinform Sci Año: 2019 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Alemania

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