Diagnosis of chernozem southern eroded using of Landsat-8 multispectral satellite images
DOI:
https://doi.org/10.31073/acss89-09Keywords:
crop reflectivity; multispectral scanning; soil maps; vegetation indices; GNDVI; NDVI; EVIAbstract
Detailed maps of the soils that used for planning and carrying out of agrotechnical and amelioration and the rational use of the territory require immediate updates. At the present stage, soil mapping can be done only with the use of GIS technologies and remote sensing methods, which most adequately reflect the spatial structure of the soil, highlighting the boundaries of the individual soil types and the diagnosis, in particular the degree of erosion. Despite the existence of direct methods for studies of the optical characteristics of the surface of the soil using satellite images, for distant learning, in particular, with the purpose of mapping, it is necessary to study the condition of agricultural vegetation, which reflects certain soil properties. The purpose of the research was to develop a methodological approach to the identification of eroded chernozems southern by assessing the reflectivity of sunflower crops, which is the most common crop in the region. Previous studies allowed to identify two key areas of the contours of eroded soils and, in 2017-2019, the results of multispectral surface scans of agro-landscapes by an OLI scanner aboard on the Board of the USA satellite Landsat-8, studies were conducted reflectivity of sunflower crops. Quantitative analysis of the reflectivity of sunflower crops showed that on the slopes with the eroded chernozem southern, the magnitude of the vegetative index GNDVI at the principal growth stage – «Inflorescence emergence» and «Flowering emergence» are significantly less than in watersheds with soils no eroded, indicating nitrogen deficiency in these soils. In turn, this reflected in the amounts of photosynthetic active biomass at these stages of organogenesis, which recorded increased values of vegetation indices NDVI and EVI. Therefore, for remote identification of eroded chernozem southern with the aim of mapping, it is possible to use the image scanner OLI reflectance of sunflower crops in the phase of increase of the photosynthetic active biomass with the subsequent temporal and spatial analysis of the values of the vegetation index GNDVI, NDVI and EVI
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