Next Article in Journal
Evaluation of Remote-Sensing-Based Landslide Inventories for Hazard Assessment in Southern Kyrgyzstan
Previous Article in Journal
The Performance of Airborne C-Band PolInSAR Data on Forest Growth Stage Types Classification
Article Menu
Issue 9 (September) cover image

Export Article

Open AccessArticle
Remote Sens. 2017, 9(9), 957; doi:10.3390/rs9090957

Use of Miniature Thermal Cameras for Detection of Physiological Stress in Conifers

1
School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK
2
Northern Research Station, Forest Research, Roslin EH25 9SY, UK
*
Author to whom correspondence should be addressed.
Received: 1 August 2017 / Revised: 5 September 2017 / Accepted: 11 September 2017 / Published: 15 September 2017
(This article belongs to the Section Forest Remote Sensing)
View Full-Text   |   Download PDF [6249 KB, uploaded 15 September 2017]   |  

Abstract

Tree growth and survival predominantly depends on edaphic and climatic conditions, thus climate change will inevitably influence forest health and growth. It will affect forests directly, for example, through extended periods of drought, and indirectly, such as by affecting the distribution and abundance of forest pathogens and pests. Developing ways of early detection and monitoring of tree stress is crucial for effective protection of forest stands. Thermography is one of the techniques that can be used for monitoring changes in the physiological state of plants; however, in forestry, it has not been widely tested or utilized. The main challenge rises from the need for high spatial resolution data. Newly emerging technologies, such as unmanned aerial vehicles (UAVs) could aid in provision of the required data. However, their main constraint is the limited payload, requiring the use of miniature sensors. This paper investigates whether a miniature microbolometer thermal camera, designed for a UAV platform, can provide reliable canopy temperature measurements of conifers. Furthermore, it explores whether there is a distinction in whole canopy temperature between the control and the stressed trees, assessing the potential of low-cost thermography for investigating stress in conifers. Two experiments on young larch trees, with induced drought stress, were performed. The plants were imaged in a greenhouse setting, and readings from a set of thermocouples attached to the canopy were used as a method of validation. Following calibration and a basic normalization for background radiation, both the spatial and temporal variation of canopy temperature was well characterized. Very mild stress did not exhibit itself, as the temperature readings for both stressed and control plants were similar. However, with a higher stress level, there was a clear distinction (temperature difference of 1.5 °C) between the plants, showing potential for using low-cost sensors to investigate tree stress. View Full-Text
Keywords: canopy temperature; drought stress; water stress; thermal imaging; trees; unmanned aerial system canopy temperature; drought stress; water stress; thermal imaging; trees; unmanned aerial system
Figures

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Smigaj, M.; Gaulton, R.; Suarez, J.C.; Barr, S.L. Use of Miniature Thermal Cameras for Detection of Physiological Stress in Conifers. Remote Sens. 2017, 9, 957.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top