Wood Decay Detection in Norway Spruce Forests Based on Airborne Hyperspectral and ALS Data

Wood Decay Detection in Norway Spruce Forests Based on Airborne Hyperspectral and ALS Data

Wood decay caused by pathogenic fungi in Norway spruce forests causes severe economic losses in the forestry sector, and currently no efficient methods exist to detect infected trees. The detection of wood decay could potentially lead to improvements in forest management and could help in reducing e...

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Bibliographic Details
Main Authors: Michele Dalponte, Alvar J. I. Kallio, Hans Ole Ørka, Erik Næsset, Terje Gobakken
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Remote Sensing
Subjects:
hyperspectral data
wood decay
forestry
classification
convolutional neural networks
forest health
Online Access:https://www.mdpi.com/2072-4292/14/8/1892

Internet

https://www.mdpi.com/2072-4292/14/8/1892

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