Remote sensing based binary classification of Maize. Dealing with residual autocorrelation in sparse sample situations

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: In: Remote Sensing, 11, 18, 18 S.

Keyword: Rheinland-Pfalz
Fernerkundung
Maisanbau
Autokorrelation
Kriging

Event: Veröffentlichung

(where): Trier

(who): Universität Trier

(when): 2019

Creator: Gilcher, Mario
Ruf, Thorsten
Emmerling, Christoph
Udelhoven, Thomas

Contributor: The publication was funded by the Open Access Fund of Universität Trier and the German Research Foundation (DFG)

URN: urn:nbn:de:hbz:385-1-13315

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 25.03.2025, 1:42 PM CET

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Associated

Gilcher, Mario
Ruf, Thorsten
Emmerling, Christoph
Udelhoven, Thomas
The publication was funded by the Open Access Fund of Universität Trier and the German Research Foundation (DFG)
Universität Trier

Time of origin

2019

Other Objects (12)

Hochschulschrift

Network meta-analysis in sparse networks of binary data

Penalized regression methods with sparse variables for modeling binary outcomes

Abschnitt

Maize.

Maize

Evaluation of the rank of balanced random sparse matrices over residual fields used for erasure codes

Arbeitspapier

Sparse warcasting

Pagine sparse

Sparse discretization of sparse control problems with measures

Hochschulschrift

Sparse nonlinear discriminants

Arbeitspapier

Sparse trend estimation

Arbeitspapier

Sparse quantile regression

Hochschulschrift

Network meta-analysis in sparse networks of binary data

Penalized regression methods with sparse variables for modeling binary outcomes

Abschnitt

Maize.

Maize

Evaluation of the rank of balanced random sparse matrices over residual fields used for erasure codes

Arbeitspapier

Sparse warcasting

Pagine sparse

Sparse discretization of sparse control problems with measures

Hochschulschrift

Sparse nonlinear discriminants

Arbeitspapier

Sparse trend estimation

Arbeitspapier

Sparse quantile regression

Hochschulschrift

Network meta-analysis in sparse networks of binary data

Penalized regression methods with sparse variables for modeling binary outcomes

Abschnitt

Maize.

Maize

Evaluation of the rank of balanced random sparse matrices over residual fields used for erasure codes

Arbeitspapier

Sparse warcasting

Pagine sparse

Sparse discretization of sparse control problems with measures

Hochschulschrift

Sparse nonlinear discriminants

Arbeitspapier

Sparse trend estimation

Arbeitspapier

Sparse quantile regression

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Remote sensing based binary classification of Maize. Dealing with residual autocorrelation in sparse sample situations

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Time of origin

Other Objects (12)

Network meta-analysis in sparse networks of binary data

Penalized regression methods with sparse variables for modeling binary outcomes

Maize.

Maize

Evaluation of the rank of balanced random sparse matrices over residual fields used for erasure codes

Sparse warcasting

Pagine sparse

Pagine sparse

Sparse discretization of sparse control problems with measures

Sparse nonlinear discriminants

Sparse trend estimation

Sparse quantile regression

Network meta-analysis in sparse networks of binary data

Penalized regression methods with sparse variables for modeling binary outcomes

Maize.

Maize

Evaluation of the rank of balanced random sparse matrices over residual fields used for erasure codes

Sparse warcasting

Pagine sparse

Pagine sparse

Sparse discretization of sparse control problems with measures

Sparse nonlinear discriminants

Sparse trend estimation

Sparse quantile regression

Network meta-analysis in sparse networks of binary data

Penalized regression methods with sparse variables for modeling binary outcomes

Maize.

Maize

Evaluation of the rank of balanced random sparse matrices over residual fields used for erasure codes

Sparse warcasting

Pagine sparse

Pagine sparse

Sparse discretization of sparse control problems with measures

Sparse nonlinear discriminants

Sparse trend estimation

Sparse quantile regression

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