Species-specific machine learning models for UAV-based forest health monitoring: Revealing the importance of the BNDVI

Simon Ecke; Florian Stehr; Jan Dempewolf; Julian Frey; Hans Joachim Klemmt; Thomas Seifert; Dirk Tiede

doi:10.1016/j.jag.2024.104257

Species-specific machine learning models for UAV-based forest health monitoring: Revealing the importance of the BNDVI

Simon Ecke^*, Florian Stehr, Jan Dempewolf, Julian Frey, Hans Joachim Klemmt, Thomas Seifert, Dirk Tiede

^*Korrespondierende/r Autor/-in für diese Arbeit

Geoinformatik

Publikation: Beitrag in Fachzeitschrift › Artikel › Peer-reviewed

Originalsprache	Englisch
Aufsatznummer	104257
Fachzeitschrift	International Journal of Applied Earth Observation and Geoinformation
Jahrgang	135
DOIs	https://doi.org/10.1016/j.jag.2024.104257
Publikationsstatus	Veröffentlicht - Dez. 2024

Bibliographische Notiz

Publisher Copyright:
© 2024 The Author(s)

Systematik der Wissenschaftszweige 2012

401 Land- und Forstwirtschaft, Fischerei
105 Geowissenschaften
107 Andere Naturwissenschaften

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

Zugriff auf Dokument

10.1016/j.jag.2024.104257

Andere Dateien und Links

Dieses zitieren

@article{a0cdc041a1ec42aa9ede96d06e1701d2,

title = "Species-specific machine learning models for UAV-based forest health monitoring: Revealing the importance of the BNDVI",

keywords = "Crown condition assessment, Forest health monitoring, Machine learning, Multispectral analysis, Tree stress response, Unmanned aerial vehicle, Vegetation index",

author = "Simon Ecke and Florian Stehr and Jan Dempewolf and Julian Frey and Klemmt, {Hans Joachim} and Thomas Seifert and Dirk Tiede",

note = "Publisher Copyright: {\textcopyright} 2024 The Author(s)",

year = "2024",

month = dec,

doi = "10.1016/j.jag.2024.104257",

language = "English",

volume = "135",

journal = "International Journal of Applied Earth Observation and Geoinformation",

issn = "1569-8432",

publisher = "Elsevier B.V.",

}

TY - JOUR

T1 - Species-specific machine learning models for UAV-based forest health monitoring

T2 - Revealing the importance of the BNDVI

AU - Ecke, Simon

AU - Stehr, Florian

AU - Dempewolf, Jan

AU - Frey, Julian

AU - Klemmt, Hans Joachim

AU - Seifert, Thomas

AU - Tiede, Dirk

PY - 2024/12

Y1 - 2024/12

KW - Crown condition assessment

KW - Forest health monitoring

KW - Machine learning

KW - Multispectral analysis

KW - Tree stress response

KW - Unmanned aerial vehicle

KW - Vegetation index

UR - http://www.scopus.com/inward/record.url?scp=85208546226&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/6f6edb3f-f693-3782-9d0c-4a0b2956fef2/

U2 - 10.1016/j.jag.2024.104257

DO - 10.1016/j.jag.2024.104257

M3 - Article

AN - SCOPUS:85208546226

SN - 1569-8432

VL - 135

JO - International Journal of Applied Earth Observation and Geoinformation

JF - International Journal of Applied Earth Observation and Geoinformation

M1 - 104257

ER -