Classifying Forest Type in the National Forest Inventory Context with Airborne Hyperspectral and Lidar Data

Classifying Forest Type in the National Forest Inventory Context with Airborne Hyperspectral and Lidar Data

Forest structure and composition regulate a range of ecosystem services, including biodiversity, water and nutrient cycling, and wood volume for resource extraction. Forest type is an important metric measured in the US Forest Service Forest Inventory and Analysis (FIA) program, the national forest...

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Bibliographic Details
Main Authors: Caileigh Shoot, Hans-Erik Andersen, L. Monika Moskal, Chad Babcock, Bruce D. Cook, Douglas C. Morton
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Remote Sensing
Subjects:
random forest
machine learning
classification
forest type
LiDAR
hyperspectral
Online Access:https://www.mdpi.com/2072-4292/13/10/1863

Internet

https://www.mdpi.com/2072-4292/13/10/1863

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