Journal Article

FZJ-2023-01799

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Incorporating machine learning models and remote sensing to assess the spatial distribution of saturated hydraulic conductivity in a light-textured soil

Rezaei, M. ; Mousavi, S. R. ; Rahmani, A. ; Zeraatpisheh, M. ; Rahmati, M.FZJ* ; Pakparvar, M. ; Jahandideh Mahjenabadi, V. A. ; Seuntjens, P. ; Cornelis, W.

2023
Elsevier Science Amsterdam [u.a.]

This record in other databases:  

Please use a persistent id in citations: doi:10.1016/j.compag.2023.107821

Note: kein Postprint zur Verfügung

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Contributing Institute(s):

1. Agrosphäre (IBG-3)

Research Program(s):

1. 2173 - Agro-biogeosystems: controls, feedbacks and impact (POF4-217) (POF4-217)

Appears in the scientific report 2023

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Database coverage:
; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; Current Contents - Agriculture, Biology and Environmental Sciences ; Ebsco Academic Search ; Essential Science Indicators ; IF >= 5 ; JCR ; Nationallizenz ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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