Prediction of forest canopy fuel parameters in managed boreal forests using multispectral and unispectral airborne laser scanning data and aerial images

Prediction of forest canopy fuel parameters in managed boreal forests using multispectral and unispectral airborne laser scanning data and aerial images

This study evaluated the suitability of different airborne laser scanning (ALS) datasets for the prediction of forest canopy fuel parameters in managed boreal forests in Finland. The ALS data alternatives were leaf-off and leaf-on unispectral and leaf-on multispectral data, alone and combined with a...

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Bibliographic Details
Main Authors: Matti Maltamo, J. Räty, L. Korhonen, E. Kotivuori, M. Kukkonen, H. Peltola, J. Kangas, P. Packalen
Format: Article
Language:English
Published: Taylor & Francis Group 2020-01-01
Series:European Journal of Remote Sensing
Subjects:
forest fire
forest structure
boreal forests
fuel models
forest fuel parameters
lidar
Online Access:http://dx.doi.org/10.1080/22797254.2020.1816142

Internet

http://dx.doi.org/10.1080/22797254.2020.1816142

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