Grassland Monitoring Based on Geobotanical, Ground, Spectrometric, and Satellite Data
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Published:2023-12
Issue:9
Volume:59
Page:1150-1159
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ISSN:0001-4338
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Container-title:Izvestiya, Atmospheric and Oceanic Physics
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language:en
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Short-container-title:Izv. Atmos. Ocean. Phys.
Author:
Botvich I. Yu.,Kononova N. A.,Emelyanov D. V.,Pisman T. I.
Publisher
Pleiades Publishing Ltd
Reference18 articles.
1. Barnes, E.M., Clarke, T.R., Richards, S.E., Colaizzi, P.D., Haberland, J., Kostrzewski, M., and Lascano, R.J., Coincident detection of crop water stress, nitrogen status and canopy density using ground based multispectral data, in Proceedings of the Fifth International Conference on Precision Agriculture, Bloomington, Minn., 2000, vol. 1619. 2. Bayat, B., Tol, C., and Verhoef, W., Remote sensing of grass response to drought stress using spectroscopic techniques and canopy reflectance model inversion, Remote Sens., 2016, vol. 8, p. 557. https://doi.org/10.3390/rs8070557 3. Botvich, I.Yu., Pis’man, T.I., Kononova, N.A., and Shevyrnogov, A.P., Seasonal dynamics of vegetation on fallow lands in Krasnoyarsk forest steppe according to terrain and satellite data, Izv., Atmos. Ocean. Phys., 2019, vol. 55, no. 9, pp. 1353–1361. 4. Bretas, I.L., Valente, D.S.M., Silva, F.F., Chizzotti, M.L., Paulino, M.F., D’Aurea, A.P., Paciullo, D.S.C., Pedreira, B.C., Fernanda, H.M., and Chizzotti, F.H.M., Prediction of aboveground biomass and dry-matter content in Brachiaria pastures by combining meteorological data and satellite imagery, Grass Forage Sci., 2020. https://doi.org/10.1111/gfs.12517 5. Eroshenko, F.V., Bartalev, S.A., Lapenko, N.G., Samofal, E.V., and Storchak, I.G., Capabilities of remote assessment of the state and extent of degradation of natural forage lands, Sovrem. Probl. Distantsionnogo Zondirovaniya Zemli Kosmosa, 2018, vol. 15, no. 7, pp. 53–66.
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