Non-destructive estimation of potato leaf chlorophyll from canopy hyperspectral reflectance using the inverted PROSAIL model

Botha, Elizabeth C.; Leblon, Brigitte; Zebarth, Bernie J.; Watmough, James

doi:10.1016/j.jag.2006.11.003

Cited by 64 publications

(46 citation statements)

References 47 publications

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“…For potatoes, this approach performs well when the canopy is homogenous, but performed less well for an immature crop with a distinct row structure, or late in the growing season when the vines collapse (Botha et al 2007). For spring wheat, this approach was effective from the booting stage onward, but was not effective in early growth stages (Botha et al 2009). Leaf chlorophyll content estimates obtained from airborne hyperspectral data were considered very good for corn fields but moderate for wheat fields (Haboudane et al 2008).…”

Section: Plant-based Diagnostic Testsmentioning

confidence: 99%

Opportunities for improved fertilizer nitrogen management in production of arable crops in eastern Canada: A review

Zebarth¹,

Drury²,

Tremblay³

et al. 2009

Can. J. Soil. Sci.

176

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There is increasing public pressure to reduce the environmental impacts of agricultural production. Therefore, one key challenge to producers is to manage their crop production systems in order to minimize losses of nitrogen to air or water, while achieving crop yield and quality goals. Many strategies have been developed in recent years to meet this challenge. These include: development of new tools to measure crop N status in order to refine in-season fertilizer N management, development of new soil N tests to improve prediction of soil N supply, development of new fertilizer N products with release patterns more closely matched to crop N uptake patterns, and development of site-specific N management strategies. We review the opportunities and limitations to these new strategies within different arable crop production systems under the humid and sub-humid soil moisture regimes present in eastern Canada. Future research opportunities to improve the efficiency of fertilizer N utilization include development of practical methods to predict the magnitude of soil N mineralization; refinement of decision-making processes which take into consideration the crop N status and soil properties as a basis for variable rate fertilizer N application; development of affordable controlled-release fertilizer N products with improved N release characteristics; development of practical methods for capturing and recycling nutrient-laden drainage water; development of gene expression profiling based techniques to identify crop N stress; and application of crop genomics and molecular breeding techniques to accelerate the development of new cultivars with increased N use efficiency. Key words: Soil N tests, plant N tests, nitrogen fertilizers, nitrogen cycling

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Section: Plant-based Diagnostic Testsmentioning

confidence: 99%

Opportunities for improved fertilizer nitrogen management in production of arable crops in eastern Canada: A review

Zebarth¹,

Drury²,

Tremblay³

et al. 2009

Can. J. Soil. Sci.

176

View full text Add to dashboard Cite

show abstract

“…The forefront of imaging spectroscopy is the estimation of leaf chlorophyll content, leaf nitrogen content, leaf area index (LAI) and other variables by model inversion, including atmospheric and topographic corrections (Botha et al, 2007;Houborg et al, 2009;Jacquemoud et al, 2009;Kokaly et al, 2009;Vohland et al, 2010). Newer techniques for estimating leaf and canopy chlorophyll content use various methods to determine the geometric area bounded by a spectral reflectance curve (Oppelt and Mauser, 2004;Haboudane et al, 2008;Delegido et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

A visible band index for remote sensing leaf chlorophyll content at the canopy scale

Hunt

Doraiswamy

McMurtrey

et al. 2013

International Journal of Applied Earth Observation and Geoinfor

423

214

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Doraiswamy, Paul C.; McMurtrey, James E.; Daughtry, Craig S.T.; Perry, Eileen M.; and Akhmedov, Bakhyt, "A visible band index for remote sensing leaf chlorophyll content at the canopy scale" (2013 and soil type at low crop LAI, whereas at high LAI and canopy closure, TGI was only affected by leaf chlorophyll content. Therefore, TGI may be the best spectral index to detect crop nitrogen requirements with low-cost digital cameras mounted on low-altitude airborne platforms.

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“…yellow -brown) of the senescent leaf m spectra was simulated using C ab = 50 μg cm -2 and N = 1. variations in the canopy fraction of senescent leaf mater reflectance spectra for a hypothetical canopy (LAI=4, C ab =50, C bp =3, s 1 =0.25, θ s =25, θ v =15, θ raz =140). The gray sections de the green, red and near-infrared band of the SPOT sensor (section in wavelengths longer than 1200 nm [23,55], and is set to fixed values of 50 and 150 g m -2 for cropland [56] and forest [57], respectively.…”

Section: Acrmmentioning

confidence: 99%

“…where L1 i , L2 i and L3 i are LAI values estimated as a function of ρ nir , NDVI and GNDVI, respectively using LUT relationships for each parameter combination (i) of N (1.0,1.2 .. 2.0), S z (0.5,0.6 .. 1.0), θ l (40,55,70), and C bp (2,3 .. 5). ΔLAI is only calculated for pixels with intermediate to high vegetation coverage, as determined by an NDVI threshold of 0.65 ( Fig.…”

Section: Land Cover Specific Parameter Retrievals (Step 4)mentioning

confidence: 99%

Utility of an image-based canopy reflectance modeling tool for remote estimation of LAI and leaf chlorophyll content at regional scales

Houborg

Anderson

2009

J. Appl. Remote Sens

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Abstract. This paper describes a novel physically-based approach for estimating leaf area index (LAI) and leaf chlorophyll content (C ab ) at regional scales that relies on radiance data acquirable from a suite of aircraft and operational satellite sensors. The REGularized canopy reFLECtance (REGFLEC) modeling tool integrates leaf optics (PROSPECT), canopy reflectance (ACRM), and atmospheric radiative transfer (6SV1) model components, facilitating the direct use of at-sensor radiances in green, red and near-infrared wavelengths. REGFLEC adopts a multi-step LUT-based inversion approach and incorporates image-based techniques to reduce the confounding effects of land cover specific vegetation parameters and soil reflectance. REGFLEC was applied to agricultural and natural vegetation areas using 10 m and 20 m resolution SPOT imagery, and variable environmental and plant development conditions allowed for model validation over a wide range in LAI (0 -6) and C ab (20 -75 μg cm -2 ). Validation against in-situ measurements yielded relative root-mean-square deviations on the order of 13% (0.4) for LAI and between 11 -19% (4.9 -9.1 μg cm -2 ) for C ab . REGFLEC demonstrated good utility in detecting spatial and temporal variations in LAI and C ab without requiring site-specific data for calibration. The physical approach presented here can quite easily be applied to other regions and has the potential of being more universally applicable than traditional empirical approaches for retrieving LAI and C ab .

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Non-destructive estimation of potato leaf chlorophyll from canopy hyperspectral reflectance using the inverted PROSAIL model

Cited by 64 publications

References 47 publications

Opportunities for improved fertilizer nitrogen management in production of arable crops in eastern Canada: A review

Opportunities for improved fertilizer nitrogen management in production of arable crops in eastern Canada: A review

A visible band index for remote sensing leaf chlorophyll content at the canopy scale

Utility of an image-based canopy reflectance modeling tool for remote estimation of LAI and leaf chlorophyll content at regional scales

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