Application of Thermal Imaging in Agriculture and Forestry

Dragavtsev, V. A.; Nartov, V.P.

doi:10.17830/j.eaj.2015.01.015

Cited by 5 publications

(3 citation statements)

References 28 publications

(33 reference statements)

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“…When considering non-invasive techniques while simultaneously accounting for factors such as sensitivity, accuracy, cost, time requirements, and operational simplicity [50], infrared thermography (IRT) emerges as a prominent technique among the plethora of available options such as static bending and transverse vibration techniques [51], groundpenetrating radar methods [52], sonic/ultrasonic tomography [53], and electrical resistivity tomography [54]. In the field of ecology, IRT has found widespread application [55][56][57], demonstrating its effectiveness in diverse fields such as detecting pests in forested areas [58,59], monitoring crop vegetation [60,61], identifying water stress [62][63][64], and diagnosing fungal infestations [65,66]. Regarding tree health, while the application of IRT is relatively recent, its use is rapidly expanding [67][68][69][70][71][72][73].…”

Section: Introductionmentioning

confidence: 99%

Integrating Thermal Indices and Phenotypic Traits for Assessing Tree Health: A Comprehensive Framework for Conservation and Monitoring of Urban, Agricultural, and Forest Ecosystems

Zevgolis,

Akriotis,

Dimitrakopoulos

et al. 2023

Applied Sciences

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Successful conservation through monitoring of ecosystems and species, which entails the quantification of disturbances at the ecosystem, species, and population levels, presents significant challenges. Given the pivotal role of this information in formulating effective strategies for tree conservation, we establish an integrated methodological framework that characterizes the overall health state of trees in urban, agricultural, and forest ecosystems, at species and individual levels, by connecting various non-invasive techniques and field metrics. To accomplish this, we collected thermal and phenotypic information from 543 trees representing five prevalent tree species, distributed across urban, agricultural, and forest settings, within a typical Mediterranean environment, and we developed trunk thermal indicators to describe species’ responses to various disturbances. We (a) examined thermal pattern variations within and among the tree species, (b) explored the relationships between phenotypic traits and trunk thermal indices, (c) quantified the influence of these indices on leaf area index, and (d) classified trees that exhibit defects and fungal pathogens based on these indices. Results showed clear differentiation of thermal and LAI patterns both among tree species and based on the presence or absence of defects. The trunk thermal indices played a significant role in characterizing tree health and predicting LAI, exhibiting strong relationships with phenotypic traits, thereby demonstrating their potential as universal indicators of tree health. Additionally, the inclusion of cavities and fungal presence in the assessment of tree health provided valuable insights into the impact of structural abnormalities on the overall tree condition. Combining trees’ phenotypic traits, vitality indices, and trunk thermal indices allowed the successful classification of defects, cavities, and fungal infestation in 91.4%, 88%, and 88% of trees, respectively. By considering the inter-relationships among thermal indices and phenotypic traits, we can confidently identify and quantify tree health, contributing to the conservation of tree species in diverse ecosystems.

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Section: Introductionmentioning

confidence: 99%

Integrating Thermal Indices and Phenotypic Traits for Assessing Tree Health: A Comprehensive Framework for Conservation and Monitoring of Urban, Agricultural, and Forest Ecosystems

Zevgolis,

Akriotis,

Dimitrakopoulos

et al. 2023

Applied Sciences

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“…This set of rapid and noninvasive plant phenotypic techniques [36] is mainly used towards agricultural productivity increase and disease detection [37][38][39], while it can also adequately support effective conservation strategies [40][41][42]. At individual tree level, a relevant nondestructive technique is infrared thermography (IRT) [43], a fast-growing type of aerial and/or ground optical remote sensing technique [44][45][46]. To date, IRT is widely used in various agroecological systems [44,47], in monitoring crop vegetation [48][49][50], in detecting water stress [51][52][53] and fungal infestation [54,55], and in assessing the health state of various woody vegetation species [56].…”

Section: Introductionmentioning

confidence: 99%

Estimating Productivity, Detecting Biotic Disturbances, and Assessing the Health State of Traditional Olive Groves, Using Nondestructive Phenotypic Techniques

Zevgolis¹,

Kamatsos²,

Akriotis³

et al. 2021

Sustainability

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Conservation of traditional olive groves through effective monitoring of their health state is crucial both at a tree and at a population level. In this study, we introduce a comprehensive methodological framework for estimating the traditional olive grove health state, by considering the fundamental phenotypic, spectral, and thermal traits of the olive trees. We obtained phenotypic information from olive trees on the Greek island of Lesvos by combining this with in situ measurement of spectral reflectance and thermal indices to investigate the effect of the olive tree traits on productivity, the presence of the olive leaf spot disease (OLS), and olive tree classification based on their health state. In this context, we identified a suite of important features, derived from linear and logistic regression models, which can explain productivity and accurately evaluate infected and noninfected trees. The results indicated that either specific traits or combinations of them are statistically significant predictors of productivity, while the occurrence of OLS symptoms can be identified by both the olives’ vitality traits and by the thermal variables. Finally, the classification of olive trees into different health states possibly offers significant information to explain traditional olive grove dynamics for their sustainable management.

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“…Thermal data are non-invasive indicators, useful in obtaining reliable information without directly affecting the ecosystems and their enclosed species. They can be used to identify disturbances, assess the growth of plant species, and monitor plants' physiological status (Dragavtsev and Nartov 2015). In woody vegetation species, thermal imaging detects the trees' surface temperature distribution and indicates their structural defects and potential disturbances.…”

Section: Introductionmentioning

confidence: 99%

Quantifying and mapping urban trees' decay severity using thermal and spatial indices: implications for tree hazard assessment and management

Zevgolis¹,

Troumbis²

Global NEST International Conference on Environmental Science &Amp; Technology

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Wood decay, a crucial factor in tree stability, is an internal long-term interaction between fungi and tree that leads to the disruption of energy flow, temperature abnormalities on the tree's surface, and possible tree mortality, especially when the decay extent is close to the threshold of 33%. In this study, arboreal vegetation species’ stability in two urban parks in the city of Mytilene, Greece, was evaluated, in accordance with the tree failure criterion, by measuring the trees’ morphological traits along with their decay severity. Thermal indices were developed by analyzing tree trunks’ temperature data, and strength loss equations associated with wood decay were applied for each tree. Temperature spatial dependence across each tree’s trunk was estimated using Moran's I index, while statistically significant spatial clusters were assessed using local spatial autocorrelation statistics. Relationships between tree stability, thermal, and spatial indices, were established using linear and logistic regression models. Finally, the Getis-Ord Gi* statistic was used for the recognition of hazardous tree hotspots in the urban parks, and the kriging geostatistical procedure was applied for mapping their spatial extension. The results have shown that thermal and spatial indices can sufficiently explain decay severity, identify hazardous trees, and contribute to tree health assessment for specialized park management.

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Application of Thermal Imaging in Agriculture and Forestry

Cited by 5 publications

References 28 publications

Integrating Thermal Indices and Phenotypic Traits for Assessing Tree Health: A Comprehensive Framework for Conservation and Monitoring of Urban, Agricultural, and Forest Ecosystems

Integrating Thermal Indices and Phenotypic Traits for Assessing Tree Health: A Comprehensive Framework for Conservation and Monitoring of Urban, Agricultural, and Forest Ecosystems

Estimating Productivity, Detecting Biotic Disturbances, and Assessing the Health State of Traditional Olive Groves, Using Nondestructive Phenotypic Techniques

Quantifying and mapping urban trees' decay severity using thermal and spatial indices: implications for tree hazard assessment and management

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