Abstract
Multispectral data from the Sich-2 satellite are used for mapping and parametric description of Chernozem soils in the North-Steppe province of Ukraine in order to: (1) delineate soil mapping units and evaluate their spatial structure; (2) quantitatively assess specific soil properties using geo-statistics and multidimensional data processing. Field description of soil profiles from the mapped soil classes demonstrated the efficacy of K-means cluster analysis for determining different elements of the soil cover. Maps of humus content, created by statistical and mathematical modelling, enabled the parameterisation of eroded Chernozem and further detailed the analysis of the structure of the humus scalar field.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bartsch KP, van Miegroet H, Boettinger J, Dobrwolski JP (2002) Using empirical erosion models and GIS to determine erosion risk at Camp Williams. J Soil Water Conserv 57:29–37
Bulygin SY, Nearing M (1999) Formation of ecologically balanced landscapes: the problem of soil erosion. University Publishing House, Kharkov (Russian, English abstract)
Cerri CEP, Dematte JAM, Ballester MVR et al (2001) GIS erosion risk assessment of the Piracicaba River Basin, southeastern Brazil. Mapp Sci Remote Sens 38(3):157–171
Dept Agricultural Policy and Food (2010) National report on the state of soil fertility in Ukraine. Sokolovskyi Institute for Soil Science and Agrochemistry Research, Kharkiv (Ukrainian)
Goldshleger N, Ben-Dor E, Lugassi R, Eshel G (2010) Soil degradation monitoring by remote sensing: examples with three degradation processes. Soil Sci Soc Am J 74(5):1433–1445
Kutsenko MV (2008) Introduction to geographic information systems and environmental modelling. University Publishing House, Kharkiv (Ukrainian)
Ma JW, Xue Y, Ma CF, Wang ZG (2003) A data fusion approach for soil erosion monitoring in the Upper Yangtze River Basin of China based on the USLE model. Int J Remote Sens 24:4777–4789
Medvedev VV, Laktionova TM, Kanash OP (2003) Soils of Ukraine (genesis and agronomic characteristics). University Publishing House, Kharkiv
Millward AA, Mersey JE (1999) Adapting the RUSLE to model soil erosion potential in a mountainous tropical watershed. Catena 38:109–129
Popov VP, Marynich AM, Lan’ko AI (1968) Physical geographic regions of the Ukrainian SSR. Kiev University Publishing House, Kiev (Russian)
Wang G, Gertner G, Fang S, Anderson AB (2003) Mapping multiple variables for predicting soil loss by geostatistical methods with TM images and a slope map. Photogramm Eng Remote Sens 69:889–898
Acknowledgments
I gratefully acknowledge the specialists of Dniprocosmos for providing the satellite imagery free of charge and all the staff of the Remote Sensing of Soil Cover Laboratory of NSC ISSAR for their assistance during the field and analytical researches. I also thank Academician VV Medvedev for his invaluable comments on the manuscript.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing Switzerland
About this paper
Cite this paper
Byndych, T. (2017). Using Multispectral Satellite Imagery for Parameterisation of Eroded Chernozem. In: Dent, D., Dmytruk, Y. (eds) Soil Science Working for a Living . Springer, Cham. https://doi.org/10.1007/978-3-319-45417-7_5
Download citation
DOI: https://doi.org/10.1007/978-3-319-45417-7_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-45416-0
Online ISBN: 978-3-319-45417-7
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)