Prospects for geostatistics application for analyzing plant state on the basis of remote sensing data

Zakharyan, Yu.G.; Komarov, Alexey

doi:10.21046/2070-7401-2019-16-3-140-148

Cited by 2 publications

(1 citation statement)

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“…The information collected at the landfills was designed to provide agro-technological solutions not only at the landfill itself, but also on the territory served by the landfill. The scientific and methodological basis for the work was formed on the basis of modern economic policy using a modern scientific and technical base based on the principles of precision farming and methods of geostatistics [6,7]. The work was carried out with the use of mobile information and measuring devices that provide coordinate referencing by GPS receivers, the use of Earth remote sensing data -ERS [5,[7][8].…”

Section: Methodsmentioning

confidence: 99%

Increase in plant productivity and soil fertility based on monitoring studies in the system of test polygons

Komarov

Lekomtsev

2022

BIO Web Conf.

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The work presents the formation of a system for assessing soil fertility and plant development using test monitoring polygons. Monitoring polygons became the basis for the introduction of modern technologies to increase plant productivity and soil fertility. The monitoring sites were located in the main agro-climatic regions of the Leningrad Region on soil types typical for the respective region. Analysis of the dynamics of the main parameters of soil fertility in test plots shows a tendency towards a decrease in the content of mobile forms of potassium and acidification of soils, as well as other signs of degradation. A decrease in soil fertility is associated with a decrease in the proportion of applied fertilizers and a decrease in soil liming. This process develops on all types of soils, with the exception of those areas that are located in suburban farms. The data for the test sites are consistent with the overall results of the agrochemical surveys. For industrial practice, test sites and information collected on them can serve as “information keys” for decoding space and aerial photographs in order to assess the state of agroecosystems, monitor changes in soil fertility and plant development. On the example of the cultivation of spring wheat, the way of precision assessment of the management of the productivity of cultivated crops and the increase of soil fertility is shown. The mechanism for the implementation of the plant productivity management system was carried out with the introduction of elements of precision farming.

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Section: Methodsmentioning

confidence: 99%

Increase in plant productivity and soil fertility based on monitoring studies in the system of test polygons

Komarov

Lekomtsev

2022

BIO Web Conf.

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Results of using geoinformation and statistical analysis methods to study spectral reflectance characteristics of agricultural crops of Belarus

Kaziak¹,

Davidovich²,

Shastakou³

2022

Journal of the Belarusian State University. Geography and Geolo

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The results of using geoinformation and statistical analysis methods to study spectral reflectance characteristics of the nine most typical agricultural crops of Belarus are presented. Spectral brightness coefficients and normalised difference vegetation index (NDVI) values were extracted from Landsat-8 multispectral satellite images in the software package ENVI (version 5.2) and analysed based on the methods of zonal statistics in the software complex ArcGIS (version 10.2) and mathematical and statistical analysis in the program Statistica (version 10). The verification of satellite data with the corresponding field measurements was carried out on the basis of correlation analysis, namely, a reliable strong positivelinear relationship between the measured in the field by a specialised GreenSeeker instrument NDVI values and the calculated by Landsat-8 satellite data NDVI values was established. The character of the distribution of spectral brightness coefficients and average NDVI values depending on the type of agricultural crop was assessed using a dispersion analysis, which allowed revealing patterns hidden in the spectral data. In particular, after applying the procedure of multiple comparisons using post hoc tests, it was established which types of crops significantly differ from each other and for which dates these differences were observed. The obtained scientific results were systematised and presented in the form of correspondingtables. The data contained in the tables made it possible to improve the methodology of automated recognition of the crops considered in the study.

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Prospects for geostatistics application for analyzing plant state on the basis of remote sensing data

Cited by 2 publications

References 1 publication

Increase in plant productivity and soil fertility based on monitoring studies in the system of test polygons

Increase in plant productivity and soil fertility based on monitoring studies in the system of test polygons

Results of using geoinformation and statistical analysis methods to study spectral reflectance characteristics of agricultural crops of Belarus

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