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THE USE OF NDVI PROFILES FOR ESTIMATING THE QUALITY OF ARABLE LANDS (EXEMPLIFIED BY THE BAKSAN REGION IN KABARDINO-BALKARIA)

https://doi.org/10.19047/0136-1694-2015-77-51-65

Abstract

A new approach to estimating the quality of arable lands was developed as based upon MODIS-derived satellite data. The essence of the approach consists in an expert analysis of NDVI curves created separately for different crop groups in the last 10–12 years as well as the inter-annual variability of the NDVI seasonal maximum, whose value was used as an indicator for the crop state and yield on different fields. The nature of NDVI curves allowed expertly classifying the groups, characterizing the winter, early spring and late spring crops. The approach to estimating the quality of arable lands was approved on the example of the Baksan region in Kabardino-Balkaria. All the arable lands have been comprehensively analyzed in the region, the mask of which was created by visual interpretation of field boundaries using LANDSAT satellite data. The temporary NDVI profiles were obtained by the satellite service VEGA. Based upon the given method all the fields in the region were classified according to the quality of arable lands. The obtained data may be used in cadastre surveys for objective estimate of lands and optimal arrangement of the main agricultural crops in this Republic, being applicable in the other regions of the Russian Federation.

About the Authors

I. Yu. Savin
V. V. Dokuchaev Soil Science Institute
Russian Federation


E. Tanov
Peoples’ Friendship University of Russia
Russian Federation


S. Kharzinov
Kabardino-Balkarsky NIISH
Russian Federation


References

1. Лупян Е.А., Савин И.Ю., Барталев С.А., Толпин В.А., Балашов И.В., Плотников Д.Е. Спутниковый сервис мониторинга состояния растительности (Вега) // Современные проблемы дистанционного зон-дирования Земли из космоса. 2011. Т. 8. № 1. С. 190–198.

2. Почвенная карта Кабардино-Балкарской ССР. М-б 1 : 200000. М., ГУГК, 1985.

3. Савин И.Ю. О тоне изображения открытой поверхности почв как прямом дешифровочном признаке // Бюл. Почв. ин-та им. В.В. Докучаева. 2013. № 71. С. 52–64.

4. Савин И.Ю. Симакова М.С. Спутниковые технологии для инвентаризации и мониторинга почв в России // Современные проблемы дистанционного зондирования Земли из космоса. 2012. Т. 9. № 5. С. 104–115.

5. Савин И.Ю., Барталев С.А., Лупян Е.А., Толпин В.А., Хвостиков С.А. Про-гнозирование урожайности сельскохозяйственных культур на основе спутниковых данных: возможности и перспективы // Современные проблемы дистанционного зондирования Земли из космоса. 2010. Т. 7. № 3. С. 275–285.

6. Толпин В.А., Балашов И.В., Лупян Е.А., Савин И.Ю. Спутниковый сервис Вега // Земля из космоса. 2011. Вып. 9. С. 32–37.

7. Фомин Н.П., Сапожников П.М. Новые подходы к государственной кадастровой оценке земель сельскохозяйственного назначения [Дата публикации 20.10.2010]. http://www.valnet.ru/m7.phtml

8. Bala S.K., Islam A.S. Correlation between potato yield and MODIS-derived vegetation indices // International J. of Remote Sensing. 2009. V. 30. Iss. 10. P. 2491–2507.

9. Baret F., Guyot G. Potentials and limits of vegetation indices for LAI and APAR assessment // Remote Sensing of Environment. 1991. Vol. 35. P. 161–173.

10. Benedetti R., Rossinni P. On the use of NDVI profiles as a tool for agricultural statistics: the case study of wheat yield estimate and forecast in Emilia Romagna // Remote Sensing of Environment. 1993. Vol. 45. P. 311–326.

11. Bouman B.A.M., Uenk D., Haverkort A.J. Estimation of ground cover of potato by reflectance measurements // Potato Research. 1992. Vol. 35. P. 111–125.

12. Elvidge C.D., Lyon R.J.P. Influence of rock-soil spectral variation on assessment of green biomass // Remote Sensing of Environment. 1985. Vol. 17. P. 265–279.

13. Huete A. R., Jackson R.D., Post D.F. Spectral response of a plant canopy with different soil backgrounds // Remote Sensing of Environment. 1985. Vol. 17. P. 37–53.

14. Groten S.M.E. NDVI crop monitoring and early yield assessment of Burkina Faso // International J. of Remote Sensing. 1993. Vol. 14(8). P. 1495–1515.

15. Liu W. T., Kogan F. Monitoring Brazilian soybean production using NOAA/AVHRR based vegetation condition indices // International J. of Re-mote Sensing. 2002. Vol. 23(6). P. 1161–1179.

16. Medvedeva M.A., Savin I.Yu., Isaev V.A. Determination of Area of Drought-Affected Crops Based on Satellite Data (Exemplified by Crops in Chuvashia in 2010) // Russian Agricultural Sciences. 2012. Vol. 38. No 2. P. 121–125.

17. Quarmby N.A., Milnes M., Hindle T.L., Silicos N. The use of multitemporal NDVI measurements from AVHRR data for crop yield estimation and prediction // International J. of Remote Sensing. 1993. Vol. 14. P. 199–210.

18. Rasmussen M.S. Operational Yield forecast using AVHRR NDVI data: reduction of environmental and inter-annual variability // International J. of Remote Sensing. 1997. Vol. 18(5). P. 1059–1077.

19. Rembold F., Atzberger C., Savin I., Rojas O. Using low resolution satellite imagery for yield prediction and yield anomaly detection // Remote Sensing. 2013. Т. 5. № 4. С. 1704–1733.

20. Remote sensing support to crop yield forecast and area estimates the inter-national archives of the photogrammetry // Remote Sensing and Spatial Information Sciences. 2006. Vol. XXXVI. No. 8/W48 ISPRS WG VIII/10.

21. Saravanan S. Estimating Yield of Irrigated Potatoes Using Aerial and Satellite Remote Sensing // All Graduate Theses and Dissertations. 2011. Paper 1049.

22. . Savin I.Yu., Nègre Т. Agro-meteorological Monitoring in Russia and Central Asian Countries. OPOCE EUR 22210EN. Ispra (Italy), 2006. 214 p.

23. . Unganai L.S., Kogan F.N. Drought monitoring and corn yield estimation in Southern Africa from AVHRR data // Remote Sensing of Environment. 1998. Vol. 63. P. 219–232.

24. Yang C., Everitt J.H., Bradford J.M., Escobar D.E. Mapping grain sorghum growth and yield variations using airborne multispectral digital imagery // Transactions of ASAE. 2000. Vol. 43(6). P. 1927–1938.


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For citations:


Savin I.Yu., Tanov E., Kharzinov S. THE USE OF NDVI PROFILES FOR ESTIMATING THE QUALITY OF ARABLE LANDS (EXEMPLIFIED BY THE BAKSAN REGION IN KABARDINO-BALKARIA). Dokuchaev Soil Bulletin. 2015;(77):51-65. https://doi.org/10.19047/0136-1694-2015-77-51-65

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ISSN 0136-1694 (Print)
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