An Integration of Linear Model and ‘Random Forest’ Techniques for Prediction of Norway Spruce Vitality: A Case Study of the Hemiboreal Forest, Latvia

The increasing extreme weather and climate events have a significant impact on the resistance and resilience of Norway spruce trees. The responses and adaptation of individual trees to certain factors can be assessed through the tree breeding programmes. Tree breeding programmes combined with multis...

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Principais autores:	Endijs Bāders, Edžus Romāns, Iveta Desaine, Oskars Krišāns, Andris Seipulis, Jānis Donis, Āris Jansons
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2022-04-01
Series:	Remote Sensing
Assuntos:	Norway spruce health UAV remote sensing vegetation indices random forest tree breeding
Acceso en liña:	https://www.mdpi.com/2072-4292/14/9/2122
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