How deep does a remote sensor sense? Expression of chlorophyll content in a maize canopy

Ciganda, Verónica; Gitelson, Anatoly A.; Schepers, James S.

doi:10.1016/j.rse.2012.08.019

Cited by 59 publications

(33 citation statements)

References 19 publications

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“…Vincini et al (2015) discussed that experimental datasets can be affected by experimental error, due for example to imperfect sampling. It corresponds with the study of Ciganda et al (2012). Those authors determined the number of leaf layers sensed by red-edge chlorophyll index.…”

Section: Resultsmentioning

confidence: 92%

Yield variability prediction by remote sensing sensors with different spatial resolution

Kumhálová¹,

Matějková²

2017

International Agrophysics

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Currently, remote sensing sensors are very popular for crop monitoring and yield prediction. This paper describes how satellite images with moderate (Landsat satellite data) and very high (QuickBird and WorldView-2 satellite data) spatial resolution, together with GreenSeeker hand held crop sensor, can be used to estimate yield and crop growth variability. Winter barley (2007 and 2015) and winter wheat (2009 and 2011) were chosen because of cloud-free data availability in the same time period for experimental field from Landsat satellite images and QuickBird or WorldView-2 images. Very high spatial resolution images were resampled to worse spatial resolution. Normalised difference vegetation index was derived from each satellite image data sets and it was also measured with GreenSeeker handheld crop sensor for the year 2015 only. Results showed that each satellite image data set can be used for yield and plant variability estimation. Nevertheless, better results, in comparison with crop yield, were obtained for images acquired in later phenological phases, e.g. in 2007 - BBCH 59 - average correlation coefficient 0.856, and in 2011 - BBCH 59-0.784. GreenSeeker handheld crop sensor was not suitable for yield estimation due to different measuring method.

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Section: Resultsmentioning

confidence: 92%

Yield variability prediction by remote sensing sensors with different spatial resolution

Kumhálová¹,

Matějková²

2017

International Agrophysics

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“…This optimal spectral range is positioned more than 60 nm away from the position of in situ red absorption band of Chl. In this spectral region, the absorption coefficient of Chl is very low ( Lichtenthaler, 1987), however, light penetration inside the leaf and canopy is much deeper than in the red and shortwave red-edge region (Ciganda et al, 2012;Merzlyak and Gitelson, 1995). Thus, absorption by the canopy around 740 nm (i.e., product of light pathway and absorption coefficient) is enough to provide high sensitivity of reflectance to Chl content.…”

Section: Total Canopy Chl and N Contents Estimationmentioning

confidence: 99%

Remote estimation of nitrogen and chlorophyll contents in maize at leaf and canopy levels

Schlemmer¹,

Gitelson²,

Schepers³

et al. 2013

International Journal of Applied Earth Observation and Geoinfor

326

215

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In the present study, the quality of aerated and non-aerated compost teas and bioslurry as bio-fertilizers and its application on two plant species in different substrates were tested. Compost tea brewed from a mixture residues compost presented higher nutrient content than that brewed from grape marc composted. Aeration, with shorter extraction time, resulted in higher pH, but in general with lower nutrient concentration, while bioslurry, presented higher nitrogen content. No pathogen and toxic effects were detected in the bio-products. Finally, Bio-products were evaluated in ornamental plant species: Petunia hibrida and Impatiens walleriana , where compost teas and bioslurry presented highly variable properties and effects on plant growth, depending on the substrate and species used. While in sand no signi cant effect on plant biomass and pigments were observed, in compost and commercial substrate bioslurry presented values similar to the traditional fertilizer. Compost tea presented variable results with no differences between aerated and non-aerated, both increasing carotenoids in I. walleriana in sand. We conclude that aeration showed no differences in compost tea quality, whilst bioslurry demonstrated to increase plant biomass at similar values to traditional fertilizer. Our results demonstrated that alternative products are an e cient, safe, ecological, and economical alternative to traditional products. Highlights Non-aerated and longer brewing time enhances nutrient extraction. Compost achieved from diverse residues results in a nutrient richer byproducts. Bioslurry increased plant biomass at values similar to commercial fertilizer. The Bio-products effect was highly dependent on plant species and substrate used. It is necessary, therefore, to develop and implement the use of alternative products that minimize agricultural impacts. Bio-products are by-products from biological sources, that provide nutrients, and bene cial microorganisms that promote plant growth. Usually, bio-products are derived from organic wastes that exploit the presence of nutrients and bene c microorganisms, while the residues are treated and reduced. Composting is an alternative that allows to relatively safe treat a high quantity of organic waste, while a high-value product is generated [4, 5]. It is an aerobic biological process by which biodegradable organic materials are transformed into a homogeneous product assimilable by plants [6, 7, 8]. The ltered suspensions of compost in water, denominated compost teas, are able to extract soluble nutrients and bene c microorganisms to be used as plants fertilizer or as biopesticide [9, 10]. It may be obtained from two main processes: aerated and non-aerated. The rst one is usually associated to reduced elaboration time, but it is necessary the use of aerators and energy sources available, while in non-aerated, no energy and equipment are needed, but the time required may be extended. Despite non-aerated compost tea is usually indicated as phytotoxic and to bene ts pathogen growth, no r...

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“…The HA was held over an individual row maintaining a nearly constant height FOV of the crop canopy. The AA platform, operated manually via a handheld radio controller (RC), was clearly the most variable platform for height and field of view control (FOV).The AP method integrates soil as well as crop canopy reflectance, while the active sensor methods, located directly over plant rows, do not capture soil reflectance (Ciganda et al 2012).…”

Section: Maize Canopy Study 2013mentioning

confidence: 99%

Using an unmanned aerial vehicle to evaluate nitrogen variability and height effect with an active crop canopy sensor

et al. 2017

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How deep does a remote sensor sense? Expression of chlorophyll content in a maize canopy

Cited by 59 publications

References 19 publications

Yield variability prediction by remote sensing sensors with different spatial resolution

Yield variability prediction by remote sensing sensors with different spatial resolution

Remote estimation of nitrogen and chlorophyll contents in maize at leaf and canopy levels

Using an unmanned aerial vehicle to evaluate nitrogen variability and height effect with an active crop canopy sensor

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