Testing Large-scale Photography to Sample Plots for Forest Inventory in Mixed Hardwood Forests of the Great Lakes-St. Lawrence Region of Ontario
Testing Large-scale Photography to Sample Plots for Forest Inventory in Mixed Hardwood Forests of the Great Lakes-St. Lawrence Region of Ontario

Author: Kimberly A. Chapman

Publisher: Sault Ste. Marie : Ontario Forest Research Institute

Published: 2006

Total Pages: 32

ISBN-13:

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Large-scale photography (LSP) may be a useful tool to measure traditional and non-traditional forest attributes. This paper evaluates an LSP system for plot sampling in Great Lakes-St. Lawrence forests by comparing the utility of leaf-off and leaf-on imagery, assessing targeting accuracy, and comparing ground and LSP values for some commonly measured inventory, research and monitoring variables, and for less commonly measured variables.

Forestry Applications of Unmanned Aerial Vehicles (UAVs) 2019
Forestry Applications of Unmanned Aerial Vehicles (UAVs) 2019

Author: Alessandro Matese

Publisher: MDPI

Published: 2020-11-23

Total Pages: 184

ISBN-13: 3039367544

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Unmanned aerial vehicles (UAVs) are new platforms that have been increasingly used in the last few years for forestry applications that benefit from the added value of flexibility, low cost, reliability, autonomy, and capability of timely provision of high-resolution data. The main adopted image-based technologies are RGB, multispectral, and thermal infrared. LiDAR sensors are becoming commonly used to improve the estimation of relevant plant traits. In comparison with other permanent ecosystems, forests are particularly affected by climatic changes due to the longevity of the trees, and the primary objective is the conservation and protection of forests. Nevertheless, forestry and agriculture involve the cultivation of renewable raw materials, with the difference that forestry is less tied to economic aspects and this is reflected by the delay in using new monitoring technologies. The main forestry applications are aimed toward inventory of resources, map diseases, species classification, fire monitoring, and spatial gap estimation. This Special Issue focuses on new technologies (UAV and sensors) and innovative data elaboration methodologies (object recognition and machine vision) for applications in forestry.