Scholarly record
THE USE OF BIG SATELLITE DATA TO ANALYZE CHANGES IN THE INTENSITY OF EXPLOITATION OF THE SOIL-LAND COVER OF THE REPUBLIC OF TATARSTAN
Abstract
To analyze changes in land use on the territory of two regions of the Republic of Tatarstan - Sabinsky and Pestrechinsky, big satellite data analysis technologies were applied: retrospective monitoring of soil and land cover and measuring the intensity of land use. The remote sensing data arrays, consisting of 4,000 images from 1984 to 2018, were analyzed. According to the analysis of big satellite data, in the regions there was a decrease in arable land by 2% in Sabinsky and 10% in Pestrechinsky district. It was found that parallel to the reduction of arable land, there is a decrease in the intensity of land exploitation in the form of a massive transition from grain and tilled crop rotations to the cultivation of perennial grasses. The growth of areas of perennial grasses is not accompanied by an increase in livestock production. Thus, the analysis of big data allows to obtain monitoring information that is impossible to obtain from official statistical sources.
Publication Impact Profile
Publication details
References15
Azabdaftari A., Sunar F. Soil salinity mapping using multitemporal Landsat data // The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, V. XLI-B7, 2016 XXIII ISPRS Congress, 12–19 July 2016, Prague, Czech Republic. P. 3-9.
Bryzzhev A.V., Rukhovich D.I., Koroleva P.V., Kalinina N.V., Vilchevskaya E.V., Dolinina E.A., Rukhovich S.V. Organization of retrospective monitoring of the soil cover of Rostov oblast // Eurasian Soil Science. 2015. V. 48(10). P. 1029-1049.
Chernousenko G.I., Kalinina N.V., Khitrov N.B., Pankova E.I., Rukhovich D.I., Yamnova I.A., Novikova A.F. Quantification of the areas of saline and solonetzic soils in the Ural Federal Region of the Russian Federation // Eurasian Soil Science. 2011. V. 44(4). P. 367-379.
Gallo B.C., Demattê J.A.M., Rizzo R., Safanelli J.L., Mendes W. de S., Lepsch I.F., Sato M.V., Romero D.J., Lacerda M.P.C. Multi-Temporal Satellite Images on Topsoil Attribute Quantification and the Relationship with Soil Classes and Geology // Remote Sensing. 2018. V. 10(10). P 1571-1592.
Geographical data mining: key design issues Stan Openshaw, Centre for Computational Geography, GeoComputation Conference Proceedings Proceedings of the 4th International Conference on GeoComputation ary Washington College Fredericksburg, Virginia, USA 25 - 28 July 1999 School of Geography, University of Leeds, Leeds LS2 9JT United Kingdom // http://www.geocomputation.org/1999/051/gc_051.htm
Huang Y., Chen Z.-X., Yu T., Huang X.-Z., Gu X.-F. Agricultural remote sensing big data: Management and applications // Journal of Integrative Agriculture. 2018. V.17(9). P.1915–1931. DOI: 10.1016/S2095-3119(17)61859-8
Koroleva P.V., Rukhovich D.I., Rukhovich A.D., Rukhovich D.D., Kulyanitsa A.L., Trubnikov A.V., Kalinina N.V., Simakova M.S. Location of bare soil surface and soil line on the RED–NIR spectral plane // Eurasian Soil Science. 2017. V. 50(12). P. 1375–1385.
McCarty J.L., Ellicott E.A., Romanenkov V., Rukhovitch D., Koroleva P. Multi-year black carbon emissions from cropland burning in the Russian Federation // Atmospheric Environment. 2012. V. 63. P. 223-238.
Rukhovich, D.I., Koroleva, P.V., Kalinina, N.V., Vil'chevskaya, E.V., Simakova, M.S., Dolinina, E.A., Rukhovich, S.V. State soil map of the Russian Federation: an ArcInfo version // Eurasian Soil Science. 2013. V 46(3). P. 225-240.
Rukhovich D.I., Koroleva P.V., Vilchevskaya E.V., Romanenkov V.A., Kolesnikova L.G. Constructing a spatially-resolved database for modeling soil organic carbon stocks of croplands in European Russia. //Regional Environmental Change. Springer. V. 7. N 2. June 2007. P.51-61.
Rukhovich D.I., Rukhovich A.D., Rukhovich D.D., Simakova M.S., Kulyanitsa A.L., Bryzzhev A.V., Koroleva P.V., Maps of averaged spectral deviations from soil lines and their comparison with traditional soil maps // Eurasian Soil Science. 2016. V. 49(7). P. 739-756.
Rukhovich D.I., Rukhovich A.D., Simakova M.S., Koroleva P.V., Rukhovich D.D., Kulyanitsa A.L. Application of the spectral neighborhood of soil line technique to analyze the intensity of soil use in 1985–2014 (by the example of three districts of Tula oblast) // Eurasian soil science. 2018. V. 51(3) P. 345-358.
Romanenkov V.A., Smith J.U., Smith P., Sirotenko O.D., Rukhovich D.I., Romanenko I.A. Soil organic carbon dynamics of croplands in European Russia: Estimates from the “model of humus balance”. // Regional Environmental Change. Springer. V. 7. N 2. June 2007. P.93-104.
Satellite Big Data: How It Is Changing the Face of Precision Farming // http://www.farmmanagement.pro/satellite-big-data-how-it-is-changing-the-face-of-precision-farming/
Wolfert S., Ge L., Verdouw C., Bogaardt M. J. Big Data in Smart Farming – A review // Agricultural Systems. 2017. V.153. P.69–80. DOI: 10.1016/j.agsy.2017.01.023
Citing literature
Number of times cited according to Crossref: 1
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.


