Identifying vegetation indices as the rational spectral indicators of vegetation state under conditions of laboratory experiment
DOI:
https://doi.org/10.36023/ujrs.2021.8.2.193Keywords:
vegetation indices, durum spring wheat, spectrometric and gasometric measurements, satellite data, carbon cycle, climatic effects, sustainable developmentAbstract
For the vegetation classes, which cover the ground surface with a rather small area and studied by means of the ground-based remote sensors it’s necessary to select the suitable spectral indices, which cloud responded in a fast and effective way to dynamic environmental conditions induced by the different stress factors. The vegetation indices (VIs) can be such indicators calculated by the mathematical operations using reflectances in the different spectral ranges measured by the field remote sensors, i.e. spectroradiometers. Application of VIs allows identifying these changes of vegetation state, which aren’t visible at the visual observation. In order to select these VIs we have conducted the laboratory experiment with the cultivation of durum spring wheat variety “Diana” at the different higher seeding rates to provide by this way, first, the fast 100% plant cover, and, second, establish the stressed conditions for the plants. During this experiment the gasometric and spectrometric observation of the constantly growing phytomass carried out, when the measurements of intensity of СО2 absorption and release by the plants in process of photosynthesis/respiration and spectrometric ones have been performed practically simultaneously that allowed further calculation of VIs.
Three vegetation indices such as MTCI, Clrededge and Clgreen were identified as the most sensitive to the changes of vegetation state and, thus, they can serve as the proper spectral indicators of vegetation condition, which are extremely necessary to develop the technique of estimating the variables of carbon cycle in the different ecosystems using satellite data and field measurements, improve of assessment for the climatic effects at the regional and local levels and estimating the IAEG-SDGs indicators of sustainable development.
References
Bardysh B., Burshtynska Kh. (2014). Application of the vegetation indices for identification of the objects of the earth’s surface. Modern achievements in geodesic science and production. Iss. II (28), p. 82-88 (in Ukrainian).
Dugin S., Sybirtseva O., Golubov S., Dorofey Ye. (2019) Verification of multispectral data processing for the Sentinel-2A bands, field ASD FieldSpec®3FR and UAV with the DJI STS-VIS. Ukrajinsjkyj zhurnal dystancijnogho zonduvannja Zemli. 21, p. 29-39. DOI: https://doi.org/10.36023/ujrs.2019.21.147 (in Ukrainian).
Zholobak G., Sybirtseva O., Vakolyuk M., Zakharchuk Yu. (2017) Remote monitoring of the state of winter wheat during the spring-summer vegetation of 2016 year, by using vegetation indices of Sentinel-2A satellite (case study of forest steppe area of Ukraine). Ukrajinsjkyj zhurnal dystancijnogho zonduvannja Zemli. 15, p. 23-30. URL: http://ujrs.org.ua/ujrs/issue/viewIssue/15/pdf_19 (in Ukrainian).
Zholobak G., Dugin S., Sybirtseva O., Kazantsev N., Romanchuk I. (2020) Determination of nitrogen and chlorophyll content in two varieties of winter wheat plants means of ground and airborne spectrometry. Ukrajinsjkyj zhurnal dystancijnogho zonduvannja Zemli. 26, p. 4-13 DOI: https://doi.org/10.36023/ujrs.2020.26.178 (in Ukrainian).
Lykhochvor V., Petrychenko V. (2006). Horticulture. Modern intensive technologies for the cultivation of the main field crops. Lviv: NVF ”Ukrainski teknolohii”. – 730 p. (in Ukrainian).
Kravchenko V.S. (2016) Optimization for the technology elements of spring wheat cultivation in the south of the Right-Bank Forest Steppe Ukraine. Thesis for a Candidate Degree in Agricultural Science, Uman, - 188 ps. (in Ukrainian).
Barnes, E.M., Clarke, T.R., Richards, S.E., Colaizzi, P.D., Haberland, J., Kostrzewski, M., Waller, P., Choi, C., Riley, E., Thompson, T., Lascano, R.J., Li, H., Moran, M.S. (2000). Coincident detection of crop water stress, nitrogen status and canopy density using ground-based multispectral data. 5th International Conference on Precision Agriculture, Bloomington, 16-19 July 2000, 1-15. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.463.8007&rep=rep1&type=pdf
Dash J., Curran P.J. (2004) The MERIS terrestrial chlorophyll index. Int. Journal of Remote Sensing. 2004. 25. P. 5403-5413
Dotzler S., Hill J., Buddenbaum H., Stoffe J. The Potential of EnMAP and Sentinel2 Data for Detecting Drought Stress Phenomena in Deciduous Forest Communities. Remote Sens.2015. Vol. 7. P. 14227–14258. doi:10.3390/rs71014227.
Du S., Du S. Land cover classification using remote sensing images and LiDAR data // IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan, 2019, pp. 2479-2482, doi: 10.1109/IGARSS.2019.8899840
Frampton, W. J., Dash, J., Watmough, G., Milton, E. J. (2013).Evaluating the capabilities of Sentinel2 for quantitative estimation of biophysical variables in vegetation. ISPRS J. Photogram. Remote Sens. 82, 83–92.
Gitelson, A. A., Kaufman, Y. J., Merzlyak, M. N. (1996) Use of a green channel in remote sensing of global vegetation from EOS-MODIS. Remote Sensing of Environment. – 1996. – V. 58, № 3. – P. 289-298.
Gitelson, A. A., Keydan, G. P., Merzlyak, M. N. (2006)Three-band model for noninvasive estimation of chlorophyll, carotenoids, and anthocyanin contents in higher plant leaves. Geophysical Research.– 2006.–Letters 33, L11402.
Gitelson, A., Merzlyak, M.N. (1994) Spectral reflectance changes associated with autumn senescence of Aesculus hippocastanum L. and Acer platanoides L. leaves. Spectral features and relation to chlorophyll estimation. Journal of Plant Physiology 143, 286–292.
Huete A. R. (1988) A soil-adjusted vegetation index (SAVI). Remote Sensing of Environment. – 1988.– V.25, N 3.– P.295-309.
Jiang, Z., Huete, A.R., Didan, K., Miura, T.(2008) Development of a two band enhanced vegetation index without a blue band. Remote Sens. Environ.2008. V. 112. P. 3833–3845
Lang, W.; Chen, X.; Liang, L.; Ren, S.; Qian, S. Geographic and Climatic Attributions of Autumn Land Surface Phenology Spatial Patterns in the Temperate Deciduous Broadleaf Forest of China. Remote Sens. 2019, 11, 1546. https://doi.org/10.3390/rs11131546
Merzlyak, M.N., Gitelson, A.A., Chivkunova, O.B., Rakitin, V.Y. (1999) Non-destructive optical detection of pigment changes during leaf senescence and fruit ripening, Physiol. Plant. 106 (1) : 135-141 http://dx.doi.org/10.1034/j.1399-3054.1999.106119.x
Rouse J.W., Jr., Haas R.H., Schell J.A., Deering D.W. (1973) Monitoring the vernal advancement and retrogradation (green wave effect) of natural vegetation // Prog. Rep. RSC 1978-1. – 1973. – 93 p.
Zarco-Tejada P. J., Miller J. R., Noland T. L., Mohammed G. H., Sampson P. H. Scaling-up and model inversion methods with narrowband optical indices for chlorophyll content estimation in closed forest canopies with hyperspectral data // IEEE Transactions on Geoscience and Remote Sensing, 2001. Vol. 39, No. 7. P. 1491−1507.
Zhang X., Long T., He G., Guo Y., Yin R., Zhang Zh., Xiao H., Li M., Cheng B. Rapid generation of global forest cover map using Landsat based on the forest ecological zones // J. of Applied Remote Sensing, 14(2), 022211 (2020). https://doi.org/10.1117/1.JRS.14.022211
Zhu L., Suomalainen J., Liu J., Hyyppä J., Kaartinen H., Haggren H. A Review: Remote Sensing Sensors // Multi-purposeful Application of Geospatial Data : IntechOpen, 2018.– DOI: 10.5772/intechopen.71049
Downloads
Published
Issue
Section
License
Licensing conditions: the authors retain their copyrights and grant the journal the right of first publication of a work, simultaneously licensed in accordance with the Creative Commons Attribution License International CC-BY, which allows you to share the work with proof of authorship of the work and initial publication in this journal.
The authors, directing the manuscript to the editorial office of the Ukrainian Journal of Remote Sensing of the Earth, agree that the editorial board transfers the rights to protection and use of the manuscript (material submitted to the journal editorial board, including such protected copyright objects as photographs of the author, drawings, charts, tables, etc.), including reproduction in print and on the Internet; for distribution; to translate the manuscript into any languages; export and import of copies of the journal with the article of the authors for the purpose of distribution, informing the public. The above rights are transferred by the authors to the editors, without limitation of their validity, and in the territory of all countries of the world without limitation, including in Ukraine.
The authors guarantee that they have exclusive rights to use the submitted material. The editors are not liable to third parties for breach of data by the authors of the guarantees. The authors retain the right to use the published material, its fragments and parts for personal, including scientific and educational purposes. The rights to the manuscript are considered to be transferred by the authors of the editorial board from the moment of the publication of the issue of the journal in which it is published. Reprinting of materials published in the journal by other individuals and legal entities is possible only with the consent of the publisher, with the obligatory indication of the issue of the journal in which the material was published.