Dr. Svetlana M. Kochubey Profile

Dr. Svetlana M. Kochubey

Professor at Institute of Plant Physiology and Genetics

SPIE Involvement:

Author

Publications (6)

Proceedings Article | 14 October 2005 Paper

Hardware-software complex for chlorophyll estimation in phytocenoses under field conditions

V. Yatsenko, S. Kochubey, V. Donets, T. Kazantsev

Proceedings Volume 5964, 59640X (2005) https://doi.org/10.1117/12.624922

KEYWORDS: Reflectivity, Principal component analysis, Spectroscopy, Vegetation, Resistance, Remote sensing, Visualization, Algorithm development, Systems modeling, Temperature sensors

Read Abstract +

Vegetation is a sensitive indicator suitable for testing of ecological stresses and natural anomalies of the technogenic character. First, it is determined by the prompt response of photosynthetic apparatus to changes of environmental conditions, mainly by change of green pigment (chlorophyll) content in leaves. Second, the specific kind of a reflectance spectrum of leaves is due to chlorophyll presence in them, and the area in the range of 500-80 nm is extremely sensitive to variations of its pigment content. Thirdly, there are interesting results now concerning spectral properties of leaves and crops canopies obtaining with high-resolution spectroscopy. The data are high informative in relation to content of chlorophyll and some other biochemical constituents of a cell. The high resistance to various types of noises is inherent to methods developed on the basis of such spectral data. We have developed a method for chlorophyll estimation using the 1-st derivative plots of reflectance spectral curves. The method gives good results for plant-soil systems with both for 100% and incomplete projective covering as our simulation models show. Field measurements of chlorophyll content in closed and open canopies crops confirm the results. A hardware-software complex has been produced by us for chlorophyll determining under field conditions. It consists of spectral and computing blocks. First of them is a two-beam spectrometer of high resolution supplied by a system to visualize of measured object. The irradiance and temperature sensors are included to the spectral block as well as GPS-receiver. The following technical characteristics are inherent to the block: spectral range 500-800 nm, band-pass 1.5 nm, field of view 16x16o, scanning time 0.1-1.0 s, dynamic range of signal 1:1024 (10 bit), signal/noise ratio 400, amount of pixels in image 1240, range of estimated chlorophyll concentrations 1.5-8.0 mg/dm2, supply voltage 12 V, weight 8 kg. Computing block is intended for spectral date processing to obtain chlorophyll estimations using our algorithm. The block is supplied by our original software WINCHL, which includes spectrum and algorithm libraries and various mathematical tools. Accumulation of reflectance spectra of various plants together with data of environmental conditions at measurements gives a good possibility to use all of them for future scientific researches and developing other important parameters of canopy status.

Proceedings Article | 24 February 2004 Paper

A monitoring system for agricultural crops on chlorophyll basis

Svetlana Kochubey, Vitaliy Yatsenko

Proceedings Volume 5232, (2004) https://doi.org/10.1117/12.512074

KEYWORDS: Reflectivity, Mathematical modeling, Agriculture, Principal component analysis, Vegetation, Reflection, Independent component analysis, Remote sensing, Mathematics, Resistance

Read Abstract +

Proceedings Article | 23 September 2003 Paper

Novel approach to remote sensing of vegetation

Svetlana Kochubey, Peter Bidyuk

Proceedings Volume 5093, (2003) https://doi.org/10.1117/12.486023

KEYWORDS: Reflectivity, Vegetation, Chemical analysis, Neural networks, Neurons, Remote sensing, Error analysis, Genetic algorithms, Algorithm development, Smoothing

Read Abstract +

Proceedings Article | 15 August 2003 Paper

Adaptive sensor for chemical analysis

Panos Pardalos, Vitaliy Yatsenko, Svetlana Kochubey, Lezhou Zhan

Proceedings Volume 5085, (2003) https://doi.org/10.1117/12.485730

KEYWORDS: Reflectivity, Neurons, Vegetation, Chemical analysis, Sensors, Remote sensing, Neural networks, Signal processing, Agriculture, Optimization (mathematics)

Read Abstract +

Proceedings Article | 8 August 2003 Paper

Estimation of chlorophyll concentration in vegetation using global optimization approach

Vitaliy Yatsenko, Svetlana Kochubey, Panos Pardalos, Lezhou Zhan

Proceedings Volume 5072, (2003) https://doi.org/10.1117/12.487756

KEYWORDS: Vegetation, Reflectivity, Neurons, Mathematical modeling, Data modeling, Remote sensing, Agriculture, Stochastic processes, Biological research, Quantitative analysis

Read Abstract +

Proceedings Article | 17 March 2003 Paper

Method and device for remote sensing of vegetation

Svetlana Kochubey, Panos Pardalos, Vitaliy Yatsenko

Proceedings Volume 4879, (2003) https://doi.org/10.1117/12.462461

KEYWORDS: Vegetation, Reflection, Reflectivity, Remote sensing, Nitrogen, Mathematical modeling, Measurement devices, Optimization (mathematics), Spectral resolution, Algorithm development

Read Abstract +

Showing 5 of 6 publications

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years