11. Monitoring of state of provision with moisture of crops according to remote sensing of Earth

Tarariko O. G., Il'ienko T. V.
Pages: 52-58.

Full article: 
Abstract
Goal. To determine the connection between the spectral characteristics of agricultural crops and the moisture content of their crops. To develop a system for monitoring the state of moisture content of crops on various administrative levels in different natural-landscape conditions according to space debris data. Methods. A method for determining the provision of moisture crops according to the data of remote sensing of the Earth, based on the complex use of satellite data of various spacious differentiation and catch-based terrestrial data, has been developed. Results Under the vegetation growth indices obtained from the data of space deposition of low spatial resolution of NOAA, an analysis of the vegetation status in accordance with the natural climatic zones was carried out and an area with unsatisfactory moisture supply of crops was identified. It is proposed to determine the moisture content of plants at the local level in terms of spatial distribution of vegetation indices within homogeneous regions and corresponding mathematical-statistical models. Conclusions The system of remote monitoring of the volatility of agricultural crops ensures the efficiency and quality of identification of crisis drought phenomena in agroecosystems and water stresses in crops, as well as the adoption of managerial decisions on adjusting agrotechnologies at different levels of agroecosystem management to prevent the development of arid phenomena and the adaptation of land-use systems to climate change.

Key words: moisture, crops, satellite data, vegetative indices, remote sensing.

References
  1. Gpydacob B.F. Otsehka blaroobecnechehhocty celbckoxoziajctbehhblx kylbtyp c nomoschbiu arporydpolorycheckyx cbojctb nochb/B.F. Gpydacob//Tpydbl BHYYCXM. – Bbln. 33. – CPb.: Gydpometeoyzdat, 2000. – C. 178 — 184.
  2. Ilbiehko T.B. Komnlekcybahhia dahyx kocmichhoro zhimahhia npy mohitopyhry nocyshlybyx iabysch b arpolahdshaftax/T.B. Ilbiehko, O.G. Tapapiko//Tpetia Bceykpaihcbka kohfepehtsiia «Aepokocmichhi cnoctepezhehhia b ihtepecax ctaloro pozbytky ta bezneky» (GEO-UA 2012) (Jebnatopiia, AP Kpym, 3 — 7 bepechia 2012 p.): Matepialy donobidej. – K.: Kafedpa, 2012. – C. 49.
  3. Ilbiehko T.B. Modeliubahhia bmicty bolory b poclyhax nshehytsi ozymoi za cynythykobymy dahymy/T.B. Ilbiehko//Bich. arpap. hayky. – 2013. – № 11. – C. 63 — 65.
  4. Kocmichhyj mohitopyhr nocyshlybyx iabysch/O.G. Tapapiko, O.B. Cypotehko, T.B. Ilbiehko, B.A. Belychko//Bich. arpap. hayky. – 2012. – № 10. – C. 16 — 19.
  5. Kpykibcbka A.B. Arpoklimatychha otsihka ymob bolorozabeznechehhia ochobhyx zephobyx kylbtyp b Ykpaihi/A.B. Kpykibcbka//Ykp. Gidpometeopolorichhyj zhyph. – 2008. – № 3. – C. 109 — 116.
  6. MGEYK, 2007: Yzmehehye klymata, 2007: Obobschaiuschyj doklad. Bklad pabochyx rpynn I, II, III b Chetbeptblj doklad ob otsehke Mezhnpabytelbctbehhoj rpynnbl ekcneptob no yzmehehyiu klymata/ P.K. Pachaypy, A. Pajzyhrep y ochobhaia rpynna abtopob//MGEYK, Zheheba, Shbejtsapyia, 104 c.
  7. Metodychhi pekomehdatsii z arpoekolorichhoi otsihky arpolahdshaftib i cyctem zemlekopyctybahhia z bykopyctahhiam tpadytsijhyx hazemhyx i dyctahtsijhyx metodib cnoctepezhehb/O.G. Tapapiko, O.B. Cypotehko, O.A. Demydob ta ih. – K., 2010. – 60 c.
  8. Cabchyk D.P. Pocyxy ta nocyxozaxychi zaxody b Ykpaihi/D.P. Cabchyk//Bich. arpap. hayky. – 2009. –№ 9. – C. 64 — 67.
  9. Gao B. NDWI–a normalized difference water index for remote sensing of vegetation liquid water from space/B. Gao//Remote Sensing of Environment. – 1996. – 58. – P. 257 — 266.
  10. Jayaraman V. The invariance of red-edge inflection wavelengths derived from groundbased spectroradiometer and space-borne IRS-P3: MOS-B data/V. Jayaraman, S. Srivastava//Int. J. Remote Sens.– 2002. – 23. – P. 2741 — 2765.
  11. Kogan F.N. Operational space technology for global vegetation assessement/F.N. Kogan//Bull. Amer. Meteor. Soc. – 2001. – 82(9). – P. 1949 — 1964.
  12. Lui W.T. Monitoring regional drought using the vegetation condition index/W.T. Lui,F.N. Kogan//International Journal of Remote Sensing. – 1996. – № 17. – P. 2761 — 2782.
  13. Tucker C.J. Red and photographic infrared linear combinations for monitoring vegetation/pC.J. Tucker//Remote Sensing of Environment. – 1979. – 8. – P.127 — 150.