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Application of remote sensing technologies for assessing planted forests damaged by insect pests and fungal pathogens: a review


Stone, C and Mohammed, C, Application of remote sensing technologies for assessing planted forests damaged by insect pests and fungal pathogens: a review, Current Forestry Reports, 3, (2) pp. 75-92. ISSN 2198-6436 (2017) [Refereed Article]

Copyright Statement

Copyright 2017 Her Majesty the Queen in Right of Australia as represented by the State Government of NSW

DOI: doi:10.1007/s40725-017-0056-1


Purpose of Review: In this review, we highlight recent developments and applications in remote sensing that can improve the accuracy and timeliness of health assessments in plantations managed for timber and pulp production. The detection and mapping of damage extent and severity caused by insect pests and fungal pathogens is a common requirement of foresters managing plantations. The objectives of these surveys can range from early detection for targeted intervention to more strategic aims of predicting stand susceptibility or evaluating the performance of management strategies.

Recent Findings: Recent developments in remote sensing technologies and big data modelling techniques can now provide spatially explicit, quantitative solutions for these management objectives that are more accurate than manual fieldbased assessments of tree damage or airborne visual mapping. Past studies have identified a large number of spectral, textural and structural metrics that have been used in models to classify specific tree crown damage symptoms. This process requires a detailed understanding of the chronology of crown symptoms for specific damaging agents and the spectral responses to these symptoms. Continuing increases in the spatial and spectral resolution of remote sensors enables crown-level damage classification.

Summary: The development of data processing workflows that fuse spectral information with three-dimensional (3D) data acquired simultaneously from single or different remote platforms promote the opportunities to derive both structural and physiological crown-level attributes that relate to crown damage. The simultaneous acquisition of spectral and 3D point data will enable plantation foresters to derive several spatial products, including the assessment of tree health in a cost-effective manner.

Item Details

Item Type:Refereed Article
Keywords:remote sensing, plantation health, damage, insect pests, fungal pathogens, diseases
Research Division:Agricultural, Veterinary and Food Sciences
Research Group:Forestry sciences
Research Field:Forest health and pathology
Objective Division:Plant Production and Plant Primary Products
Objective Group:Forestry
Objective Field:Forestry not elsewhere classified
UTAS Author:Mohammed, C (Professor Caroline Mohammed)
ID Code:117612
Year Published:2017
Web of Science® Times Cited:38
Deposited By:Tasmanian Institute of Agriculture
Deposited On:2017-06-21
Last Modified:2018-05-22

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