Integration of Radiometric Ground-Based Data and High-Resolution QuickBird Imagery with Multivariate Modeling to Estimate Maize Traits in the Nile Delta of Egypt.

Elmetwalli, Adel H; Tyler, Andrew N; Moghanm, Farahat S; Alamri, Saad A M; Eid, Ebrahem M; Elsayed, Salah

Elmetwalli, Adel H; Tyler, Andrew N; Moghanm, Farahat S; Alamri, Saad A M; Eid, Ebrahem M; Elsayed, Salah.

Afiliação

Elmetwalli AH; Agricultural Engineering Department, Faculty of Agriculture, Tanta University, Tanta 31527, Egypt.
Tyler AN; School of Biological and Environmental Sciences, University of Stirling, Stirling, Scotland FK9 4LA, UK.
Moghanm FS; Soil and Water Department, Faculty of Agriculture, Kafrelsheikh University, Kafr El-Sheikh 33516, Egypt.
Alamri SAM; Biology Department, College of Science, King Khalid University, Abha 61321, Saudi Arabia.
Eid EM; Biology Department, College of Science, King Khalid University, Abha 61321, Saudi Arabia.
Elsayed S; Botany Department, Faculty of Science, Kafrelsheikh University, Kafr El-Sheikh 33516, Egypt.

Sensors (Basel) ; 21(11)2021 Jun 06.

Article em En | MEDLINE | ID: mdl-34204099

Assuntos

Imagens de Satélites; Zea mays; Clorofila; Egito; Análise dos Mínimos Quadrados

Palavras-chave

PLSR and MLR; QuickBird imagery; maize; salinity stress; spectral indices; water stress

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Zea mays / Imagens de Satélites Tipo de estudo: Prognostic_studies País/Região como assunto: Africa Idioma: En Revista: Sensors (Basel) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Egito

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