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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2016, Vol. 13, No. 3, pp. 61-71

Influence of crop areas vegetation cover fraction on their spectral reflectivity properties

E.A. Terekhin 1 
1 Belgorod State National Research University, Federal and Regional Centre for Aerospace Monitoring, Belgorod, Russia

Accepted: 09.06.2016
DOI: 10.21046/2070-7401-2016-13-3-61-71

Results of estimation of the influence fractional vegetation cover on the acreage NDVI vegetation index values were presented. The research was performed on the basis of information obtained from the crop area, typical of the Belgorod region and Tsentral'noye Chernozem'ye region. Estimation of impact of fractional vegetation cover on NDVI values was performed on the basis of experimental data collected during the 2012-2015 at different times of the vegetation season. It was found that vegetation index values are significantly different for different classes of fractional vegetation cover. For crop areas with high vegetation cover fraction, lower values of vegetation index standard deviation are observed. On the basis of a sample of 184 measurements a quantitative assessment of vegetation index depending on the fractional vegetation cover was carried out. It was found that the equations of linear type describe the relationship between vegetation cover fraction and vegetation index values best. The increase in the values of vegetation cover fraction corresponds to the growth of vegetation index values. The calculated relationship allowed assessing the seasonal dynamics of fractional vegetation cover for the acreage of the Belgorod region. The capability of GIS-mapping of fractional vegetation cover at the level of specific acreage is shown. The capability to estimate fractional vegetation cover seasonal dynamics and its use to determine the state of vegetation of a specific agricultural field is demonstrated.
Keywords: vegetation cover fraction, remote sensing, vegetation cover, NDVI, vegetation indices, crop areas, GIS-mapping
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