Monitoring of <i>Heracleum sosnowskyi Manden</i> Using UAV Multisensors: Case Study in Moscow Region, Russia

Detection and mapping of Sosnowsky’s hogweed (HS) using remote sensing data have proven effective, yet challenges remain in identifying, localizing, and eliminating HS in urban districts and regions. Reliable data on HS growth areas are essential for monitoring, eradication, and control measures. Sa...

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Principais autores:	Rashid K. Kurbanov, Arkady N. Dalevich, Alexey S. Dorokhov, Natalia I. Zakharova, Nazih Y. Rebouh, Dmitry E. Kucher, Maxim A. Litvinov, Abdelraouf M. Ali
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2024-10-01
Series:	Agronomy
Assuntos:	remote sensing UAVs AI Sosnowsky’s hogweed spectral data
Acceso en liña:	https://www.mdpi.com/2073-4395/14/10/2451
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