NAU > Journals > AstSR > Issues

HOME SEARCH UKRAINIAN

Astronomical School’s Report, 2016, Volume 12, Issue 1, Pages 53–56

Analysis of the informative components for estimation of vegetation biochemical parameters using the reflection spectra

Semeniv O.V.

Abstract

An implementation of the independent component analysis for vegetation state estimation using the plant leaves' reflection spectra is presented. An interrelation between the informative parameters and the total concentration of chlorophyll in the leaves is investigated. Results of numerical modeling and comparative analysis with the experimental data and other methods are presented.

Keywords: remote sensing; independent component analysis; correlation analysis; regression analysis; vegetation state

References

1. Andreeva A.V., Buznikov A.A., Skryabin S.V. i dr. (2007). Issledovanie kharaktera izmeneniya opticheskikh kharakteristik rastitel’nosti pod vozdeystviem tyazhelykh metallov dlya razrabotki metoda distantsionnoy diagnostiki zagryazneniya. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 4(2), 175–182.
2. Kochubey S.M. (2003). Otsenka osnovnykh parametrov sel’skokhozyaystvennykh posevov po spektru otrazheniya rastitel’nosti v opticheskom diapazone. Kosmіchna nauka і tekhnologіya, 2003(9), 185–190. https://doi.org/10.15407/knit2003.05.185
3. Kyncheva R., Iliev I., Borisova D., Gorgiev G. (2011). Rannee obnaruzhenie fiziologicheskogo stressa rastitel’nosti po mnogospektral’nym dannym. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 8(4), 319–326.
4. Lial’ko V.I., Popov M.O. Bahatospektral’ni metody dystantsiynoho zonduvannia zemli v zadachakh pryrodokorystuvannia. Kyyiv: Naukova dumka, 360 p.
5. Semeniv O.V. (2015). Vegetation state estimation based on the Fourier analysis of remote sensing data. Astronomical School’s Report, 11(1), 56–60. https://doi.org/10.18372/2411-6602.11.1056
6. Yakunina I.V., Popov N.S (2009). . Metody i pribory kontrolya okruzhayuschey sredy. Ekologichesky monitoring. Tambov: Izd-vo Tamb. gos. tekhn. un-ta. 188 p.
7. Yatsenko V.O., Kochubey S.M., Khandriga P.A. i dr. (2007). Novyy metod distantsionnogo otsenivaniya soderzhaniya khlorofilla v rastitel’nosti i ego programmno-apparatnaya realizatsiya. Kosmіchna nauka і tekhnologіya, 2007(3(13)), 35–45.
8. Yatsenko V.O., Semeniv O.V. (2009). Dynamichnyy pidkhid do otsiniuvannia parametriv biokhimichnykh komponent v roslynnosti. Visnyk Kyyivs’koho universytetu. Ser.: Fizyko-matematychni nauky., 2009(1), 163–168.
9. Arnon D.I. (1949). Copper enzymes in isolated chloroplasts. Polyphenoloxidase in Beta vulgaris. Plant Physiol, 24, 1–15. https://doi.org/10.1104/pp.24.1.1
10. Comon P. (1994). Independent component analysis, A new concept? Signal processing, 36, 287–314. https://doi.org/10.1016/0165-1684(94)90029-9
11. Feret J.B., François C., Asner G.P., et at. (2008). PROSPECT-4 and 5: Advances in the leaf optical properties model separating photosynthetic pigments. Remote Sensing of Environment, 2008(112), 3030–3043. https://doi.org/10.1016/j.rse.2008.02.012
12. Hyvarinen A., Karhunen J., Oja E. (2001). Independent Component Analysis. New York: J. Wiley & Sons, Inc. 481 p. https://doi.org/10.1002/0471221317
13. Rosso P.H., Pushnik J.C., Mui Lay, Ustin S.L. (2005). Reflectance properties and physiological responses of Salicornia virginica to heavy metal and petroleum contamination. Environmental Pollution, 137, 241–252. https://doi.org/10.1016/j.envpol.2005.02.025
14. Smith K.L., Steven M.D., Colls J.J. (2004). Use of hyperspectral derivative ratios in the red-edge region to identify plant stress responses to gas leaks. Remote Sensing of Environment, 92, 207–217. https://doi.org/10.1016/j.rse.2004.06.002
15. Zarco-Tejada P.J., Berni J.A.J., Suárez L., et al. (2009). Imaging chlorophyll fluorescence with an airborne narrow-band multispectral camera for vegetation stress detection. Remote Sensing of Environment, 113, 1262–1275. https://doi.org/10.1016/j.rse.2009.02.016

Download PDF