Experimental determination of soil moisture on hyperspectral images

Подлипнов, В. В.; Shchedrin, V. N.; Babichev, A. N.; Vasilyev, S. A.; Blank, V. A.

doi:10.18287/2412-6179-2017-42-5-877-884

Cited by 28 publications

(10 citation statements)

References 3 publications

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“…The experiment will allow us to check the working element under different conditions to find out the most suitable parameters for our working element for a specific channel [6][7][8][9][10] The screw-type element of the plant residue cleaner has several parameters. To simplify the work we will distinguish three main ones: T -the flight screw pitch cm, Ds -diameter of the screw cm, n -speed, r.p.m.…”

Section: Methodsmentioning

confidence: 99%

Experimental study on vegetation removing from irrigation channels

et al. 2020

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The parameters of the process of vegetation removing from the water surface have been justified. An experiment was conducted to determine the strength of the screw-type tool and matching the most appropriate parameters. It was established that the channel clean-up quality depends on the screw diameter. It was also investigated the influence of the screw rotation speed on the channel clean-up quality. The dependence of the cleanup quality on the flight screw pitch has been determined.

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Section: Methodsmentioning

confidence: 99%

Experimental study on vegetation removing from irrigation channels

et al. 2020

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“…First, we insist on the complete preservation of the reference HSI pixel signatures, regardless of the number of channels that are necessary for the current classification in a particular application (perhaps with the exception of completely noisy channels). This will allow us to build a classification, which is not so much dependent on the conditions of a specific task and a specific HSI, but is reusable and is supported by reference (standard) signatures, which were confirmed in field tests, as in [3], [4], [6][7][8][9][10].…”

Section: Methods Of Analysis and Markup Of Hsi Objectsmentioning

confidence: 99%

“…In [8], 2018, the use of imaging hyperspectrometers for precision farming in a field experiment to determine the humidity index of soil covered with vegetation is considered. It is shown that the humidity index at each point of the hyperspectral image, where greens are present, is determined by the ratio of I 0,9 to I 0.97 , where I 0.9 is the spectral brightness at a wavelength of 0.9 μm, and I 0.97 is at a wavelength of 0, 97 microns.…”

Section: Review Of Publications On the Research Topicmentioning

confidence: 99%

Analysis and object markup of hyperspectral images for machine learning methods

Громов¹,

Lebedev

Турлапов

2019

Proceedings of the v International Conference Information Technology and Nanotechnology 2019

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The development of the nominal sequence of steps for analyzing the HSI proposed by Landgrebe, which is necessary in the context of the appearance of reference signature libraries for environmental monitoring, is discussed. The approach is based on considering the HSI pixel as a signature that stores all spectral features of an object and its states, and the HSI as a whole - as a two-dimensional signature field. As a first step of the analysis, a procedure is proposed for detecting a linear dependence of signatures by the magnitude of the Pearson correlation coefficient. The main apparatus of analysis, as in Landgrebe sequence, is the method of principal component analysis, but it is no longer used to build classes and is applied to investigate the presence in the class of subclasses essential for the applied area. The experimental material includes such objects as water, swamps, soil, vegetation, concrete, pollution. Selection of object samples on the image is made by the user. From the studied images of HSI objects, a base of reference signatures for classes (subclasses) of objects is formed, which in turn can be used to automate HSI markup with the aim of applying machine learning methods to recognize HSI objects and their states.

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“…Information and analytical analysis of special literature on practice of reclamation, both in Russia and abroad indicates the presence of various empirical dependencies for determining crop evapotranspiration, which are the critical factor in the expenditure part of the water balance equation for an irrigated field. The amount of evapotranspiration depends on a significant number of factors, both natural, including soil water-physical and chemical properties, actual hydrometeorological conditions, soil moisture, hydrological characteristics of irrigated areas of the corresponding irrigation zones, and the physiological properties of plants, progressive technologies of their cultivation, taking into account reclamation technologies [1][2][3][4]. Scientific and technological progress in reclamation science development justifies the urgent need in application of a new methodological approach to the development and implementation of processes for resource-saving water use, including agricultural crops irrigation.…”

Section: Introductionmentioning

confidence: 99%

A calculation model for determining the agricultural crops water consumption for resource-saving irrigation regimes

Olgarenko

2022

IOP Conf. Ser.: Earth Environ. Sci.

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Scientific and technical progress in the development of land reclamation substantiates the urgent need in implementation of a new methodological approach for developing and implementing the processes for resource-saving water use in general, including irrigation of agricultural crops. The essence of the method is that all above-mentioned processes should be substantiated with the ecological-landscape approach methodology, taking into account progressive knowledge both in the accompanying natural sciences and in the reclamation industry that ensures minimal anthropogenic loads on the environment components and the creation of a healthy environmental situation in agricultural landscapes. Empirical dependences of various crops evapotranspiration and the actual moisture supply of the soil root layer have been determined for the corresponding phases of plant development by long-term experimental studies on the irrigation systems of the North Caucasus region for various soil and climatic irrigation zones, followed by comparison of the data obtained with the potential evapotranspiration data at the corresponding meteorological stations. Data analysis shows that the calculated absolute data values of the correlation coefficients between the compared values of the studied parameters vary in a wide range from 0.34 to 0.98, and obtained empirical dependencies are generally described by nonlinear mathematical equations. Comparison between the methods for determining the parameters under study has shown that calculation according to Alpatev gives significant errors; calculation according Kharchenko, while generally satisfactory, allows for unacceptable deviations in particular solutions; calculation according to the proposed model shows good results with acceptable deviations in all cases.

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Experimental determination of soil moisture on hyperspectral images

Cited by 28 publications

References 3 publications

Experimental study on vegetation removing from irrigation channels

Experimental study on vegetation removing from irrigation channels

Analysis and object markup of hyperspectral images for machine learning methods

A calculation model for determining the agricultural crops water consumption for resource-saving irrigation regimes

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