Peer-reviewed articles 17,970 +


Title: MULTITEMPORAL SPECTRAL CHARACTERISTICS OF INTRAFIELD SOIL FERTILITY HETEROGENITY ZONES OF NORTHERN KAZAKHSTAN ARABLE LANDS
MULTITEMPORAL SPECTRAL CHARACTERISTICS OF INTRAFIELD SOIL FERTILITY HETEROGENITY ZONES OF NORTHERN KAZAKHSTAN ARABLE LANDS

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Vasily Rashkovich; Dmitry Rukhovich; Dmitri Borschev
10.5593/sgem2024/3.1/s13.32
10.5593/sgem2024/3.1
1314-2704
978-619-7603-70-5
English
24
3.1
•    Prof. DSc. Oleksandr Trofymchuk, UKRAINE 
•    Prof. Dr. hab. oec. Baiba Rivza, LATVIA
Soils
New methods for assessing soil cover heterogeneity, based on the analysis of extensive satellite data using neural network filtering technologies, were implemented to evaluate the territory of northern Kazakhstan. A comparative analysis of the quality of soil cover structure (SCS) determination, using remote sensing data, was conducted using two different methods. The first method is indirect and involves determining the SCS by analyzing and aggregating multitemporal vegetation indices (MVI). The second method is unique and involves determining the spectral neighborhood of the soil line in RED-NIR space.
The soils in the study area are characterized by southern chernozems with varying thickness and humus content. The heterogeneity of the soil cover is largely influenced by the microrelief of the terrain. Soils on watershed and upland surfaces are typically eroded and less moist, resulting in reduced thickness and lower humus content compared to soils located on slopes and in depressions.
Field research established a relationship between SCS, MVI, and open soil surface (OSS). The reliability and accuracy of the developed OSS method, when applied to the soils of northern Kazakhstan, were confirmed.
The structure of the soil cover is crucial for agriculture, especially in conditions of moisture deficiency in the dry steppe zone. The determination of soil heterogeneity using the OSS method represents a powerful new tool for creating a cartographic basis for precision agriculture. Utilizing OSS maps as the basis for task maps, differentiated fertilizer application in the studied area demonstrated high effectiveness, resulting in a threefold increase in lentil yield.
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https://doi.org/10.5593/sgem2024/3.1/s13.32
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Proceedings of 24th International Multidisciplinary Scientific GeoConference SGEM 2024
24th International Multidisciplinary Scientific GeoConference SGEM 2024, 1 - 07 July, 2024
Proceedings Paper
STEF92 Technology
International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM
SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci and Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts and Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci and Arts; Acad Sci Moldova; Montenegrin Acad Sci and Arts; Georgian Acad Sci; Acad Fine Arts and Design Bratislava; Russian Acad Arts; Turkish Acad Sci.
261-268
1 - 07 July, 2024
website
9698
open soil surface, multitemporal vegetation index, precision planting, neural network satellite data filtration

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