The spectral response of Buxus sempervirens to different types of environmental stress – A laboratory experiment

Jong, S.M. de; Addink, E.A.; Hoogenboom, Priscilla; Nijland, Wiebe

doi:10.1016/j.isprsjprs.2012.08.005

Cited by 40 publications

(45 citation statements)

References 41 publications

(61 reference statements)

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“…The stress patterns from these broad band indices correspond to the patterns observed using specific narrowband vegetation indices (de Jong et al 2012). IR intensity shows very similar results as NDVI and G/RGB, but with a stronger decline in the saturation and chlorine groups.…”

Section: Laboratory Experimentssupporting

confidence: 61%

“…In total, 18 plants were used and were divided into 6 groups, one control group and five stress groups, each receiving different treatments to investigate the effect of stress conditions on plant reflectance and appearance; an extensive analysis of the spectral data was published in de Jong et al (2012). The six groups were treated as follows: 1) Control, adequate care; 2) Saturation, roots submerged in water;…”

Section: Laboratory Experimentsmentioning

confidence: 99%

See 1 more Smart Citation

Monitoring plant condition and phenology using infrared sensitive consumer grade digital cameras

Nijland

Jong

et al. 2014

Agricultural and Forest Meteorology

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124

120

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Consumer-grade digital cameras are recognized as a cost-effective method of monitoring plant health and phenology. The capacity to use these cameras to produce time series information contributes to a better understanding of relationships between environmental conditions, vegetation health, and productivity. In this study we evaluate the use of consumer grade digital cameras modified to capture infrared wavelengths for monitoring vegetation. The use of infrared imagery is very common in satellite remote sensing, while most current near sensing studies are limited to visible wavelengths only. The use of infrared-visible observations is theoretically superior over the use of just visible observation due to the strong contrast between infrared and visible reflection of vegetation, the high correlation of the three visible bands and the possibilities to use spectral indices like the Normalized Difference Vegetation Index. This paper presents two experiments: the first study compares infrared modified and true color cameras to detect seasonal development of understory plants species in a forest; the second is aimed at evaluation of spectrometer and camera data collected during a laboratory plant stress experiment. The main goal of the experiments is to evaluate the utility of infrared modified cameras for the monitoring of plant health and phenology.Results show that infrared converted cameras perform less than standard color cameras in a monitoring setting. Comparison of the infrared camera response to spectrometer data points at limits in dynamic range, and poor band separation as the main weaknesses of converted consumer cameras. Our results support the use of standard color cameras as simple and affordable tools for the monitoring of plant stress and phenology.3

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Section: Laboratory Experimentssupporting

confidence: 61%

Section: Laboratory Experimentsmentioning

confidence: 99%

Monitoring plant condition and phenology using infrared sensitive consumer grade digital cameras

Nijland

Jong

et al. 2014

Agricultural and Forest Meteorology

Self Cite

124

120

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show abstract

“…In this manner, we could follow the changes of plant status over time by naked eye. The most important changes might be detected by visual observation including the decoloration of the leaves, the shape of the leaves and the openness of the canopy [15].…”

Section: Visual Inspectionmentioning

confidence: 99%

“…To analyze the impacts of moisture deficit on different parts of the spectra, canopy spectral changes to different levels of moisture deficit during the experiment were plotted. To find the time of the first signs of stress in the reflectance spectra, we followed [15], and Pearson's correlations were computed between the averaged spectra measured at the beginning and those of the measurements during the experiment over time, i.e., the other five averaged spectra, in each group. This indicated the degree of Remote Sens.…”

Section: Spectral Acquisitionmentioning

confidence: 99%

Remote Sensing of Grass Response to Drought Stress Using Spectroscopic Techniques and Canopy Reflectance Model Inversion

2016

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Abstract:The aim of this study was to follow the response to drought stress in a Poa pratensis canopy exposed to various levels of soil moisture deficit. We tracked the changes in the canopy reflectance (450-2450 nm) and retrieved vegetation properties (Leaf Area Index (LAI), leaf chlorophyll content (Cab), leaf water content (Cw), leaf dry matter content (Cdm) and senescent material (Cs)) during a drought episode. Spectroscopic techniques and radiative transfer model (RTM) inversion were employed to monitor the gradual manifestation of drought effects in a laboratory setting. Plots of 21 cmˆ14.5 cm surface area with Poa pratensis plants that formed a closed canopy were divided into a well-watered control group and a group subjected to water stress for 36 days. In a regular weekly schedule, canopy reflectance and destructive measurements of LAI and Cab were taken. Spectral analysis indicated the first sign of stress after 4-5 days from the start of the experiment near the water absorption bands (at 1930 nm, 1440 nm) and in the red (at 675 nm). Spectroscopic techniques revealed plant stress up to 6 days earlier than visual inspection. Of the water stress-related vegetation indices, the response of Normalized Difference Water Index (NDWI_1241) and Normalized Photochemical Reflectance Index (PRI_norm) were significantly stronger in the stressed group than the control. To observe the effects of stress on grass properties during the drought episode, we used the RTMo (RTM of solar and sky radiation) model inversion by means of an iterative optimization approach. The performance of the model inversion was assessed by calculating R 2 and the Normalized Root Mean Square Error (RMSE) between retrieved and measured LAI (R 2 = 0.87, NRMSE = 0.18) and Cab (R 2 = 0.74, NRMSE = 0.15). All parameters retrieved by model inversion co-varied with soil moisture deficit. However, the first strong sign of water stress on the retrieved grass properties was detected as a change of Cw followed by Cab and Cdm in the earlier stages. The results from this study indicate that the spectroscopic techniques and RTMo model inversion have a promising potential of detecting stress on the spectral reflectance and grass properties before they become visibly apparent.

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“…The leaf is also mostly responsible for photosynthesis, an essential physiological process in plants. The health and nutrient status with water status inclusive of the plants can be evaluated from the leaves where its decrease would serve as an important indicator of stress or a limiting factor (de Jong et al, 2012). Therefore, leaf water content can be used for the determination of the water status of the plants.…”

Section: A Background On Plant Water Availabilitymentioning

confidence: 99%

Assessing maize foliar water stress levels under field conditions using in-situ spectroscopy

Ngie¹,

Ahmed²,

Abutaleb³

2017

RWJour

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Plant physiological processes required for crop productivity are dependent on the availability of water to crops. Water availability to crops therefore requires real time monitoring for timeous rescue or intervention measures. Such monitoring over vast areas is only possible through remotely sensed techniques such as spectroscopy with its numerous fine wavelengths and is non-destructive to the crops as opposed to other traditional ground-based methods. The management of spectral reflectance data to extract information of importance for plant water status has been motivated by knowledge of the availability of specific bands in the electromagnetic spectrum responsible for water absorption. The purpose of this study was to investigate the potential of using selected spectral bands to develop water indices that could monitor the water status at leaf level on maize (Zea mays) plants grown under field conditions. Leaf spectral reflectance of maize plants was collected under three different water conditions being healthy (H), intermediary water stressed (IWS) and water stressed (WS) using a leaf-clip of a handheld spectroradiometer. The spectral reflectance indicated an increased reflectance in portions of the visible, near-infrared and short infrared regions of the electromagnetic spectrum for the water stressed maize plants. The random forest (RF) algorithm was utilised to extract wavelengths of importance from which water indices were developed among which were the normalised difference water index (NDWI860-1240) and the water band index (WBI950-970). The indices were used in a combined algorithm of RF and partial least square (PLS) for its predictive ability to classify the maize leaf water status into the three categories (H, IWS and WS). The results showed an overall accuracy of 70±1.2 %. Therefore, confirming the potential of assessing leaf water content using in-situ spectroscopy. The three most important indices were NDWI860-1240, NDWI1700-1530 and NDWI1530-1360. An in-depth study would be required to quantify and measure actual water content in maize leaves and possibly upscale to canopy level which would directly support irrigation management plans.

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The spectral response of Buxus sempervirens to different types of environmental stress – A laboratory experiment

Cited by 40 publications

References 41 publications

Monitoring plant condition and phenology using infrared sensitive consumer grade digital cameras

Monitoring plant condition and phenology using infrared sensitive consumer grade digital cameras

Remote Sensing of Grass Response to Drought Stress Using Spectroscopic Techniques and Canopy Reflectance Model Inversion

Assessing maize foliar water stress levels under field conditions using in-situ spectroscopy

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