Ecological land classification and soil moisture modelling in the boreal forest using LiDAR remote sensing
Ecological land classification (ELC) is used to classify forest types in Ontario based on ecological gradients of soil moisture and nutrient fertility determined in the field. If ELC could be automated using terrain surfaces generated from airborne Light Detection and Ranging (LiDAR) remote sensing...
Main Author: | SOUTHEE, FLORENCE MARGARET |
---|---|
Other Authors: | Queen's University (Kingston, Ont.). Theses (Queen's University (Kingston, Ont.)) |
Language: | en en |
Published: |
2010
|
Subjects: | |
Online Access: | http://hdl.handle.net/1974/6244 |
Similar Items
-
LiDAR and WorldView-2 Satellite Data for Leaf Area Index Estimation in the Boreal Forest
by: Pope, Graham
Published: (2012) -
Prediction of Foliar Biochemistry in a Boreal Forest Canopy Using Imaging Spectroscopy and LiDAR Data
by: Gökkaya, Kemal
Published: (2017) -
Method to Reduce the Bias on Digital Terrain Model and Canopy Height Model from LiDAR Data
by: Marie-Soleil Fradette, et al.
Published: (2019-04-01) -
The use of remotely sensed LiDAR and multispectral imagery for modeling eastern redcedar biomass within North Eastern Kansas
by: Bryant, Johnny
Published: (2016) -
Multi-cohort Stand Structural Classification: Ground and LiDAR-based Approaches for Boreal Mixedwood and Black Spruce Forest Types of Northeastern Ontario
by: Kuttner, Benjamin
Published: (2010)