Studying the Condition of Soil Protection Agrolandscape in Ukraine Using Remote Sensing Methods

Truskavetsky, Stanislav; Byndych, Tetiana; Sherstyuk, None Alexandr; Viatkin, Kostiantyn

doi:10.17265/2161-6256/2015.04.001

Cited by 3 publications

(3 citation statements)

References 3 publications

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“…Long-term studies of soils in Transcarpathia made it possible to conclude that the best relationship was traced between the humus content (SOM) and the spectral index NIR/RED (Hebryn-Baidy, 2017). According to study (Truskavetsky et al, 2015) there is a linear relationship between SWIR1,2 bands and the humus content (SOM). The fact that in the listed studies authors used exclusively spectral information is interesting.…”

Section: Discussionmentioning

confidence: 99%

Application of remote sensing methods for statistical estimation of organic matter in soils

Belenok,

Hebryn-Baidy,

Bіelousova

et al. 2023

Earth sci. res. j.

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The availability of reliable information on the physicochemical properties of soils is a necessary tool for maintaining and improving fertility and effective optimization of agricultural land management in many countries. However, ground-based research methods require significant financial and time resources. It has been established that methods based on remote sensing data are an efficient, accurate, and less costly solution for studying different types of soil cover parameters. This work aims to determine the predicted indicator of humus content in soils in selected regions of the Kyiv region (Ukraine) with the corresponding soil types. For this, the spectral properties of chernozem soils were investigated based on Landsat 8 OLI satellite images. A mosaic of the mean spectral reflectance values for the study period (2013-2015) was created using the Google Earth Engine. The vegetation indices NDSI, NDWI, NDBI, MSAVI, and NDVI were used to identify bare soils. Using multiple linear regression, an optimal F-Comparing Nested Model was created for predicting humus content in soils, including seven parameters. The model's accuracy was estimated with such indicators R=0.95, R2= 0.90, σy = 0.16 %. The approach based on the proposed model can be used to support the adoption of the necessary management decisions to improve soil fertility and maintain balanced land use.

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Section: Discussionmentioning

confidence: 99%

Application of remote sensing methods for statistical estimation of organic matter in soils

Belenok,

Hebryn-Baidy,

Bіelousova

et al. 2023

Earth sci. res. j.

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“…За результатами цього дослідження створено базу даних і цифрову карту еродованих ґрунтів, а також віднайдено спосіб визначення загального вмісту гумусу та гранулометричного складу ґрунту за відбивною здатністю його поверхневого шару. Подібні результати здобули й ми досліджуючи спектральні характеристики еродованих орних земель у степовій зоні України [5,6].…”

Section: ґрунтові інформаційні системи світуunclassified

“…Перераховані питання стосуються як наземних, так і дистанційних методів контролю, а також їх узгодження і дешифрування. Разом з теоретичними концептуальними підходами до моніторингу ґрунтів опрацьовано окремі прийоми його реалізації, зокрема, контроль стану ґрунтового покриву в межах протиерозійних агроландшафтів [5], що також є невід'ємною частиною великомасштабних обстежень ґрунтового покриву.…”

Section: пропозиції з удосконалення національної методики обстеження unclassified

Progressive approach to traditional large-scale soil surveys

Truskavetsky¹,

Nsc²,

Byndych³

et al. 2017

AiG

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In the article, the authors raise the problem of not understanding the need for a transition to a fundamentally new approach to the realization and awareness of the process of large-scale soil survey. The updated survey methodology, by its very nature, cannot be similar to the methodology of large-scale soil surveys of the 50th-60th. The authors of the article emphasize that the time has come to abandon the outdated approaches to the survey of soil cover. A modernized methodology should be based on operational constantly updated information systems. That up-to-date soil surveys need to be considered not as digging the soil pits in separate locations, but as a large-scale measure on the collection and processing of soil information and the creation of an appropriate database. The modern Ukrainian soil survey methodology should be consistent with world and European approaches to soil survey and monitoring, harmonized with the international classification of soils, their nomenclature list, diagnostic methods and laboratory and analytical definitions of soil parameters, it should have unified measurement systems, and use precision data analysis techniques. The current stage of soil cover studies is characterized by the widespread use of geoinformation systems and high-tech methods for solving soil science problems, and especially by the high degree of international exchange of experience and information about soils.

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Magnetic Susceptibility of Soil and Its Significance in Erosion Studies

et al. 2019

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Water erosion of the soil is a major factor in the degradation of agricultural land in Ukraine. About 13 million hectares of arable land need additional protection. The study of the influence of the mentioned hazard processes is important both for the scientists and land endusers. The purpose of the paper is to demonstrate the possibilities of soil magnetic susceptibility mapping in erosion studies. The comparison with traditional methods is implemented. The studies were carried out at the territory of Farm Enterprise "Phoenix" of the Bliznyukovsky district of the Kharkiv region at the distance of 6 km to the southeast of the Lozova. The study site is used for crop production. The relief of the site is complicated by the developed ravine network. The soil is ordinary chernozems (Haplic Chernozems in WRB classification). We have registered high correlation between magnetic susceptibility (MS) of the studied chernozems and humus content (organic matter). The Spearman correlation coefficient slightly depends on the frequency magnetic susceptibility coefficient. The results give the opportunity to recommend soil MS studies as the additional tool in soil erosion mapping. The magnetic measurements are expensive and fast for the humus (organic matter) identification of eroded soil. The relation of the values of soil MS and the value of potential soil loss at the studied area was low. The study of the magnetic mineralogy confirmed the absence of the anthropogenic soil pollution. We confirmed this by the values of the frequency dependence of magnetic susceptibility which were above 6. The domination of the superparamagnetic (SP) grains with the size less than 20 nm was confirmed by the values of the frequency dependence of magnetic too. The majority of the MS values are 10-20. The magnetic minerals of the studied soil have been formed in real time under the pedogenic (natural soil formation) process.

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Studying the Condition of Soil Protection Agrolandscape in Ukraine Using Remote Sensing Methods

Cited by 3 publications

References 3 publications

Application of remote sensing methods for statistical estimation of organic matter in soils

Application of remote sensing methods for statistical estimation of organic matter in soils

Progressive approach to traditional large-scale soil surveys

Magnetic Susceptibility of Soil and Its Significance in Erosion Studies

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