High spectral resolution reflectance of douglas fir grown under different fertilization treatments: Experiment design and treatment effects

Dungan, Jennifer; Johnson, Lee F.; Billow, C.; Matson, Pamela A.; Mazzurco, J.; Moen, J.; Vanderbilt, V. C.

doi:10.1016/s0034-4257(95)00222-7

Cited by 26 publications

(10 citation statements)

References 23 publications

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“…On the other hand, pure NIR channels can clearly reveal the more severe drought and nutrient stress in the canopy reflectance (Dungan et al 1996). Imagery taken during the hot summer of 2008, again above the Roman city of Potentia, clearly illustrates this physical fact.…”

Section: Nir Aerial Crop Mark Archaeology: Applications and Examplesmentioning

confidence: 99%

Near-Infrared Aerial Crop Mark Archaeology: From its Historical Use to Current Digital Implementations

Verhoeven

2011

J Archaeol Method Theory

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Even though most archaeologists are aware of the crop mark phenomenon and its possible archaeological nature, the information on its occurrence and specific character is, in most cases, obtained by imaging in the visible spectrum. After the Second World War, the occasional use of near-infrared (NIR) sensitive emulsions attributed this kind of invisible imaging with a great potential. However, archaeological NIR imaging always remained restricted due to several reasons not, at least, its complicated workflow and uncertain results. This article wants to delve deeper into the subject, looking at the conventional film-based approach of NIR aerial reconnaissance and its historical use in archaeological crop mark research, after which a current straightforward digital approach will be outlined. By explaining the spectral properties of plants and using examples of recently acquired NIR imagery in comparison with visible frames, it should become clear why the detection and interpretation of crop marks can benefit from low-cost digital NIR imaging in certain situations.

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Section: Nir Aerial Crop Mark Archaeology: Applications and Examplesmentioning

confidence: 99%

Near-Infrared Aerial Crop Mark Archaeology: From its Historical Use to Current Digital Implementations

Verhoeven

2011

J Archaeol Method Theory

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“…The parameters corresponding to each canopy realization were randomly drawn following a uniform distribution. The range of each variable was defined based on ground measurements performed in this study and on experimental data presented in literature (Ceccato et al, 2001;Chen et al, 1997b;Dungan et al, 1996;Gond et al, 1999; Table 2). The selected ranges corresponded to a distribution of the respective variable typical for the observed coniferous canopy.…”

Section: Inversion Of Geosailmentioning

confidence: 99%

Radiative transfer modeling within a heterogeneous canopy for estimation of forest fire fuel properties

Kötz

Schaepman

Morsdorf

et al. 2004

Remote Sensing of Environment

160

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“…In our analysis, only the 2068 nm wavelength chosen for the double variable fresh/intact model was 'attributable' to protein compounds (Fourty et al 1996 ). However, selection of 2160 nm from the dry/compound samples is attributed to lignin and has been spectrometrically linked to nitrogen concentration at a variety of spatial scales , Martin and Aber 1994, Dungan et al 1996, Martin and Aber 1997. Its importance as a nitrogen indicator is highlighted by the selection of this wavelength in all models of the dry/ground regression.…”

Section: Discussionmentioning

confidence: 97%

Nitrogen concentration in New Zealand vegetation foliage derived from laboratory and field spectrometry

White

Trotter

Brown

et al. 2000

International Journal of Remote Sensing

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Multiple linear regression models of leaf nitrogen concentrations were developed from measured leaf values of selected native New Zealand plant species and spectral absorption obtained from laboratory NIR spectrometry(NIRS 6500 ). Two sets of equations were produced from samples that were from either dried and ground or fresh and intact foliage. Canopy nitrogen was predicted from these laboratory-derived equations and applied to GER 2600 spectroradiometer data collected above small plant canopies (r2 5 0.65 to 0.77).Re ectance data from the NIRS 6500 and GER 2600 were not directly comparable, therefore calibration of predicted canopy nitrogen values was necessary to place the predicted nitrogen in the observed range of values. Highest accuracy occurred where wavelengths selected in the laboratory analysis were not 'attributable' to nitrogen bonds rather to complex carbohydrate compounds(e.g. 2160 nm). In addition, as laboratory equations were derived from small sample sizes, canopy nitrogen was predicted with greatest accuracy when only a single 'attributable' wavelength was utilised.

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High spectral resolution reflectance of douglas fir grown under different fertilization treatments: Experiment design and treatment effects

Cited by 26 publications

References 23 publications

Near-Infrared Aerial Crop Mark Archaeology: From its Historical Use to Current Digital Implementations

Near-Infrared Aerial Crop Mark Archaeology: From its Historical Use to Current Digital Implementations

Radiative transfer modeling within a heterogeneous canopy for estimation of forest fire fuel properties

Nitrogen concentration in New Zealand vegetation foliage derived from laboratory and field spectrometry

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