Detection of foliage conditions and disturbance from multi-angular high spectral resolution remote sensing

Hilker, Thomas; Coops, Nicholas C.; Coggins, S. B.; Wulder, Michael A.; Brown, Mathew; Black, T. Andrew; Nesic, Zoran; Lessard, Dominic

doi:10.1016/j.rse.2008.10.003

Cited by 48 publications

(27 citation statements)

References 65 publications

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“…They also do not allow for reliable monitoring of the stress evolution kinetics. As an extension of visual estimates, various spectral indices have been constructed to monitor stress (Buschmann et al, 1991;Samson et al, 2000;Stylinski et al, 2002;Coops et al, 2003;Richardson et al, 2004;Porder et al, 2005;Schaepman-Strub et al, 2006;Jones and Schofield, 2008;Delaieux et al, 2009;Hilker et al, 2009). These spectral tools can be applied at scales ranging from leaves to whole tree canopies and ecosystems and provide an important means to assess stress using remote sensing techniques.…”

Section: Traditional Methods To Diagnose Stressmentioning

confidence: 99%

Responses of forest trees to single and multiple environmental stresses from seedlings to mature plants: Past stress history, stress interactions, tolerance and acclimation

Niinemets

2010

Forest Ecology and Management

622

467

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a b s t r a c tForest trees are exposed to a myriad of single and combined stresses with varying strength and duration throughout their lifetime, and many of the simultaneous and successive stress factors strongly interact. While much progress has been achieved in understanding the effects of single stresses on tree performance, multiple interacting stress effects cannot be adequately assessed from combination of single factor analyses. In particular, global change brings about novel combinations of severity and timing of different stresses, the effects of which on tree performance are currently hard to predict. Furthermore, the combinations of stresses commonly sustained by trees change during tree ontogeny. In addition, tree photosynthesis and growth rates decline with increasing tree age and size, while support biomass in roots, stem and branches accumulates and the concentrations of non-structural carbohydrates increase, collectively resulting in an enhancement of non-structural carbon pools. In this review, tree physiological responses to key environmental stress factors and their combinations are analyzed from seedlings to mature trees. The key conclusions of this analysis are that combined stresses can influence survival of large trees even more than chronic exposure to a single predictable stress such as drought. In addition, tree tolerance to many environmental stresses increases throughout the ontogeny as the result of accumulation of non-structural carbon pools, implying major change in sensing, response and acclimation to single and multiple stresses in trees of different size and age.

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Section: Traditional Methods To Diagnose Stressmentioning

confidence: 99%

Responses of forest trees to single and multiple environmental stresses from seedlings to mature plants: Past stress history, stress interactions, tolerance and acclimation

Niinemets

2010

Forest Ecology and Management

622

467

View full text Add to dashboard Cite

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“…Red Green Index (RGI) and Ratio Vegetation Index (RVI) showed low sensitivity at the beginning of the vegetation period but showed significantly advanced abilities after the needles turned red. Hilker et al (2009) conclude that multi-angular observations have an increased potential to detect subtle changes in canopy reflectance compared to nadir looking instruments.…”

Section: Biochemical Parameters and Health Statusmentioning

confidence: 89%

“…E.g. Hilker et al (2009) developed an experiment set up for multi-angular measurements on the ground focusing on the detection of foliage conditions and disturbance in a mountain pine beetle infested lodgepole pine stand. More information on the used instrument can be found in Hilker et al (2007).…”

Section: Biochemical Parameters and Health Statusmentioning

confidence: 99%

Review of forestry oriented multi-angular remote sensing techniques

Fassnacht¹,

Koch²

2012

int. forest. rev.

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“…Remote sensing data may not be useful in estimating LAImax for densely-forested regions, because satellite sensors saturate from the high reflectance (Zhao et al 2010;Waring et al 2014). Comparing greenness values for several years can help analysts estimate reasonable values for LAImax for model calibration, but disturbances may be difficult to ascertain due to coarse spatial or spectral resolution or cloud interference (Hilker et al 2009). Atmospheric interference such as cloud cover causes more visible light to be reflected back to the sensor than would be the case if the light reached the surface and was absorbed by vegetation.…”

Section: Data and Model Limitationsmentioning

confidence: 99%

Does overshoot in leaf development of ponderosa pine in wet years leads to bark beetle outbreaks on fine-textured soils in drier years?

Peterman¹,

Waring

2014

For. Ecosyst.

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Background: Frequent outbreaks of insects and diseases have been recorded in the native forests of western North America during the last few decades, but the distribution of these outbreaks has been far from uniform. In some cases, recent climatic variations may explain some of this spatial variation along with the presence of expansive forests composed of dense, older trees. Forest managers and policy makers would benefit if areas especially prone to disturbance could be recognized so that mitigating actions could be taken. Methods: We use two ponderosa pine-dominated sites in western Montana, U.S.A. to apply a modeling approach that couples information acquired via remote sensing, soil surveys, and local weather stations to assess where bark beetle outbreaks might first occur and why. Although there was a general downward trend in precipitation for both sites over the period between 1998 and 2010 (slope = −1.3, R 2 = 0.08), interannual variability was high. Some years showed large increases followed by sharp decreases. Both sites had similar topography and fire histories, but bark beetle activity occurred earlier (circa 2000 to 2001) and more severely on one site than on the other. The initial canopy density of the two sites was also similar, with leaf area indices ranging between 1.7-2.0 m

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Detection of foliage conditions and disturbance from multi-angular high spectral resolution remote sensing

Cited by 48 publications

References 65 publications

Responses of forest trees to single and multiple environmental stresses from seedlings to mature plants: Past stress history, stress interactions, tolerance and acclimation

Responses of forest trees to single and multiple environmental stresses from seedlings to mature plants: Past stress history, stress interactions, tolerance and acclimation

Review of forestry oriented multi-angular remote sensing techniques

Does overshoot in leaf development of ponderosa pine in wet years leads to bark beetle outbreaks on fine-textured soils in drier years?

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