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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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References:

  1. Bakurova K.B., Yuferev V.G. Ekologo-ekonomicheskaya otsenka degradatsii agrolandshaftov na osnove distantsionnogo monitoring (Ecologic and economic estimation of agrilandscape degradation on the basis of distant monitoring), Vestnik Voronezhskogo gosudarstvennogo universiteta. Seriya: Geografiya. Geoekologiya, 2009, No. 1, pp. 79–83.
  2. Buzuk G.N. Opredelenie proektivnogo pokrytiya i urozhainosti pri ispol'zovanii foto tochek (Photo point method) (Determination of the projective cover and productivity when using photo points), Vestnik farmatsii, 2013, No. 3 (61), pp. 74–80.
  3. Buzuk G.N. Primenenie funktsii rosta i asimptoticheskikh funktsii pri opredelenii proektivnogo pokrytiya i urozhainosti lekarstvennykh rastenii (Application growth function and asymptotic functions on certain vegetation cover fraction and yield herbs), Vestnik farmatsii, 2014, No. 1, (63), pp. 59–67.
  4. Kyncheva R., Borisova D., Georgiev G. Dekompozitsiya spektral'nykh smesei pochva –rastitel'nost' (Endmember decomposition techniques from soil-vegetation mixture reflectance), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2011, Vol. 8, No. 2, pp. 226–232.
  5. Malakhov D.V., Islamgulova A.F. Parametricheskoe deshifrirovanie izobrazhenii pastbishch: opyt primeneniya dannykh distantsionnogo zondirovaniya nizkogo i srednego razresheniya (The quantitative interpretation of pasture image parameters: an experience of low and moderate spatial resolution remotely sensed data application), Optika atmosfery i okeana, 2014, Vol. 27, No. 7 (306), pp. 587–592.
  6. Muzylev E.L., Uspenskii A.B., Startseva Z.P., Volkova E.V., Kukharskii A.V., Uspenskii S.A. Ispol'zovanie dannykh distantsionnogo zondirovaniya pri modelirovanii komponent vodnogo i teplovogo balansov territorii Tsentral'no-chernozemnykh oblastei Rossii (Utilization of remote sensing data for modeling water and heat balance components of the Russian Central Black Earth Region territory), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2015, Vol. 12, No. 6, pp. 17–34.
  7. Terekhin E.A. Analiz mnogoletnei dinamiki vegetatsionnogo indeksa dlya posevnykh ploshchadei (Analysis of vegetation index long-term dynamics for crop areas), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2015, Vol. 12, No. 6, pp. 48–58.
  8. Carlson T., Ripley D. On the relationship between fractional vegetation cover, leaf area index, and NDVI, Remote Sensing of Environment, 1997, Vol. 62, pp. 241–252.
  9. Glenn E.P., Huete A.R., Nagler P.L., Nelson S.G. Relationship Between Remotely-sensed Vegetation Indices, Canopy Attributes and Plant Physiological Processes: What Vegetation Indices Can and Cannot Tell Us About the Landscape, Sensors, 2008, Vol. 8, pp. 2136–2160.
  10. Jiang Z., Huete A., Chen J., Chen Y., Li J., Yan G., Zhang X. Analysis of NDVI and scaled difference vegetation index retrievals of vegetation fraction, Remote Sensing of Environment, 2006, Vol. 101, pp. 366–378.
  11. Jiménez-Muñoz J.C., Sobrino J.A., Plaza A., Guanter L., Moreno J., Martinez P. Comparison Between Fractional Vegetation Cover Retrievals from Vegetation Indices and Spectral Mixture Analysis: Case Study of PROBA/CHRIS Data Over an Agricultural Area, Sensors, 2009, Vol. 9, No. 2, pp.768–793.
  12. Johnson B, Tateishi R., Kobayashi T. Remote Sensing of Fractional Green Vegetation Cover Using Spatially-Interpolated Endmembers, Remote Sensing, 2012, Vol. 4, No. 9. pp. 2619–2634.
  13. Li F., Kustas W., Preuger J., Neale C., Jackson T. Utility of remote sensing-based two-source balance model under low- and high-vegetation cover conditions, Journal of Hydrometeorology, 2005, Vol. 6, pp. 878–891.
  14. Rundquist B.C. The influence of canopy green vegetation fraction on spectral measurements over native tallgrass prairie, Remote Sensing of Environment, 2002, Vol. 81, pp. 129–135.
  15. Xiao J., Zhuang Q., Law B.E., Chen J., Baldocchi D.D., Ma S., Cook D.R., Oren R., Katul G.G., Richardson A.D., Wharton S., Falk M., Paw U K.T., Martin T.A., Verma S.B., Suyker A.E., Scott R.L., Monson R.K., Burns S.P., Litvak M. A continuous measure of gross primary production for the conterminous United States derived from MODIS and ameriflux data, Remote Sensing of Environment, 2010, Vol. 114, pp. 576–591.
  16. Zhou Y., Zhang L., Xiao J., Chen S., Kato T., Zhou G. A. Comparison of Satellite-Derived Vegetation Indices for Approximating Gross Primary Productivity of Grasslands, Rangeland Ecology & Management, 2014, Vol. 67, pp. 9–18.