Seasonal and Long-Term Features of the Distribution of the Vegetation Index NDVI on Arable Lands in Bryansk Region

Gregory V. LOBANOV; Boris V. TRISHKIN; Marina V. AVRAMENKO; Anna Yu. CHAROCHKINA; Alina P. PROTASOVA

doi:10.14505//jemt.v9.1(25).05

Gregory V. LOBANOV Department of Geography, Environment and Land Management Bryansk State University named after Academician I.G. Petrovsky Bryansk, Russian Federation
Boris V. TRISHKIN Department of Management and Information Technology Branch of the Moscow Psychology-Social University in Bryansk Bryansk, Russian Federation
Marina V. AVRAMENKO Department of Geography, Environment and Land Management Bryansk State University named after Academician I.G. Petrovsky Bryansk, Russian Federation
Anna Yu. CHAROCHKINA Department of Geography, Environment and Land Management Bryansk State University named after Academician I.G. Petrovsky Bryansk, Russian Federation
Alina P. PROTASOVA Department of Geography, Environment and Land Management Bryansk State University named after Academician I.G. Petrovsky Bryansk, Russian Federation

DOI: https://doi.org/10.14505//jemt.v9.1(25).05

Abstract

The features of the multi-year distribution of vegetation indices are considered as an indicator of the favorable conditions for farming, the correspondence of the set of crops with the soil, geomorphological, microclimatic characteristics of the agrolandscape. The authors presented methodical problems of using information about NDVI for remote determination and monitoring of soil properties through bioproductivity. Methods of collecting and systematizing information on the seasonal and long-term dynamics of NDVI (according to MODIS data) and some factors of the spatial distribution of its mean values were used for a detailed study of the issue. The possible mechanisms of influence of the surface slope (the values are determined by SRTM), the average humus content, the mechanical strength of soils on the NDVI distribution were shown. Information on NDVI arable land changes in the Bryansk region in the years with different meteorological conditions (2010-2015) was given. The general features of NDVI seasonal dynamics within the vegetation period were described – from late March to early November. The influence of meteorological factors on the distribution of NDVI was determined. Synchronous differences in the dynamics of NDVI for groups of arable land plots homogeneous in the state of the surface slope and agrotechnical characteristics of soils were justified from the position of seasonal dynamics of landscapes. A complex ratio of the significance of groups of factors was shown, possible models for explaining their differences in space and time were proposed.

References

[1] Cherepanov, A.S. 2011. Vegetation indices. Geomatics, 2: 98-102
[2] Gopp, N.V. 2012. Investigation of the influence of the relief on the soil and vegetation cover. Interexpo Geo-Siberia, 3: 77-81
[3] Justice, O., Townshend, J.R.G., Vermote, E.F., Masuoka, E., Wolfe, R.E. et al. 2002. An overview of MODIS Land data processing and product status. Remote Sensing of Environment, 83(2): 3-15
[4] Kalinin, N.A., Piyankov, S.V., Sviyazov, Ye.M., Smirnova, A.A. 2010. Technology of integrated assessment of phytomass of agricultural crops according to Earth remote sensing data. Bulletin of Udmurt State University, 6-4: 11-18
[5] Novokhatin, V.V., Chubareva, I.S. 2013. Gis-technology in the assessment and prediction of crop yields. Bulletin of TSU, 4: 168-176.
[6] Piyankov, S.V., Kalinin, N.A., Sviyazov, Ye.M., Smirnova, A.A., Nekrasov, I.B. 2009. Monitoring of the state of agricultural crops in the Perm Krai according to the data of remote sensing of the earth. Bulletin of PSU Biology, 10: 147-153.
[7] Sakharova, Ye.Yu., Sladkikh, L.A., Kulik, Ye.N. 2015. Satellite monitoring of the state of cereal crops using the vegetation index. Interexpo Geo-Siberia, 1: 47-52.
[8] Wardlow, B., Egbert, St. L., Kastens, J. H. 2007. Analysis of time-series MODIS 250 m vegetation index data for crop classification in the U.S. Central Great. Remote Sensing of Environment, 108 (3): 290–310.
***National Aeronautic and Space Administration. Available at: http://reverb.echo.nasa.gov/reverb (accessed November 25, 2017).