Peer-reviewed articles 17,970 +



Title: MAPPING OF EROSION COMPLEXES USING MAPS OF STABLE INTRA-FIELD HETEROGENEITY OF SOIL FERTILITY

MAPPING OF EROSION COMPLEXES USING MAPS OF STABLE INTRA-FIELD HETEROGENEITY OF SOIL FERTILITY
N.Kalinina; G.Suleiman;D. Rukhovich
1314-2704
English
20
3.1
In traditional soil mapping, erosion is mapped as a process. Erosion processes are modeled based on the analysis of large-scale topographic maps and digital elevation models. Traditional mapping of soil erosion suggests a high correlation between topography and erosion processes. In precision farming systems, the actual location of fragments of agricultural fields where there has been a decrease in soil fertility is mapped,. The study compares two approaches. It is shown that the actual development of soil erosion has a more complex spatial arrangement than relief factors. Hypotheses on the equality of the development of soil erosion with equal relief parameters on topographic maps and digital elevation models can be considered not confirmed. This study showed that in about half the cases, actual erosion does not occur at the locations predicted by modeling. It can be assumed that the traditional modeling of the erosion processes is suitable for recommendations on anti-erosion measures. For precision farming task maps, determination of erosion by methods of processing big satellite data are needed.
conference
20th International Multidisciplinary Scientific GeoConference SGEM 2020
20th International Multidisciplinary Scientific GeoConference SGEM 2020, 18 - 24 August, 2020
Proceedings Paper
STEF92 Technology
International Multidisciplinary Scientific GeoConference-SGEM
SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts & Letters; Acad Fine Arts Zagreb Croatia; C
471-478
18 - 24 August, 2020
website
cdrom
7156
soil erosion; stable intra-field heterogeneity of soil fertility; big satellite data

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