Integration of data of the remote sensing, gis, and gamma-spectrometric analysis to study soil material redistribution

L. N. Trofimetz, A. A. Kolesnikov, E. A. Panidi, P. M. Kikin

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

The paper discusses a problem of complex data application when accounting erosion network elements to study soil runoff and soil material redistribution on arable slopes. It is needed to estimate and account contribution of microrelief landforms to the sediment (washed out soil material) redistribution on arable areas to enhance accuracy of estimation of the soil runoff and accumulation. However, microrelief landforms are hardly detected on topographic maps and plans used traditionally in land management. For example, temporary streams formed in plowing furrows (in the case of along-slope plowing) can be detected only when survey and soil sampling data are attracted, or (partially) using remote sensing data.Due to such a context, we discover integrated analysis of map data (digital maps represented and processed in GIS environment), data of gamma-spectrometric analysis of the soil samples, and very high resolution satellite imagery, which is aimed onto detection of the role of stable and dynamically changing microrelief landforms in soil material redistribution.

Original languageEnglish
Pages (from-to)147-152
Number of pages6
JournalInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Volume43
Issue numberB4-2021
DOIs
StatePublished - 30 Jun 2021
Event24th ISPRS Congress on Imaging Today, Foreseeing Tomorrow, Commission IV - Nice, France
Duration: 5 Jul 20219 Jul 2021

Scopus subject areas

  • Information Systems
  • Geography, Planning and Development

Keywords

  • GIS-based Mapping
  • Microrelief
  • Soil Runoff
  • Very High Resolution Imagery

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