Detecting the Distribution of Callery Pear (<i>Pyrus calleryana</i>) in an Urban U.S. Landscape Using High Spatial Resolution Satellite Imagery and Machine Learning

Using Planetscope imagery, we trained a random forest model to detect Callery pear (<i>Pyrus calleryana</i>) throughout a diverse urban landscape in Columbia, Missouri. The random forest model had a classification accuracy of 89.78%, a recall score of 0.693, and an F1 score of 0.819. The key hyperpa...

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Bibliografische Detailangaben

Hauptverfasser:	Justin Krohn, Hong He, Timothy C. Matisziw, Lauren S. Pile Knapp, Jacob S. Fraser, Michael Sunde
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2025-04-01
Schriftenreihe:	Remote Sensing
Schlagworte:	<i>Pyrus calleryana</i> Decne digital image processing spatial clustering species inventory Planetscope
Online-Zugang:	https://www.mdpi.com/2072-4292/17/8/1453
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