Abstract
Results are presented from an analysis of multitemporal data obtained via satellite monitoring of the state of vegetation on the territory of Ivano–Arakhley Nature Park (Zabaikal’sky krai) after a 2015 natural fire. Radar and optical data are acquired from the Sentinel 1 and Sentinel 2 spacecraft, respectively. Spectral indices NDVI, NBR, MIRBI, and NDRE are used in combination with radar vegetation index RVI to determine the dynamics of the restoration of the vegetation cover affected by the fire. The positive dynamics in the state of the vegetation in postfire period 2016–2019 is shown by an increase in the values of the NDVI, NBR, NDRE, and RVI indices. The effect the atmosphere on the values of the vegetation index is shown.
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REFERENCES
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., and Moran, M.S., 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, Madison, Wis.: ASA-CSSA-SSSA, 2000.
Bartalev, S.A., Egorov, V.A., Krylovi, A.M., Stytsenko, F.V., and Khovratovich, T.S., Possibilities to assess the state of burnt forests with the help of multispectral satellite data, Sovrem. Probl. Distantsionnogo Zondirovaniya Zemli Kosmosa, 2010, no. 7, pp. 215–225.
Bondur, V.G. and Chimitdorzhiev, T.N., Remote sensing of vegetation by optical microwave methods, Izv. Vyssh. Uchebn. Zaved., Geod. Aerofotos’emka, 2008, no. 6, pp. 64–73.
Bondur, V.G., Tsidilina, M.N., and Cherepanova, E.V., Satellite monitoring of wildfire impacts on the conditions of various types of vegetation cover in the federal districts of the Russian Federation, Izv., Atmos. Ocean. Phys., 2019, vol. 55, no. 9, pp. 1238–1253.
Ceccato, P., Flasse, S., Tarantola, S., Jacquemond, S., and Gregoire, J., Detecting vegetation water content using reflectance in the optical domain, Remote Sens. Environ., 2001, pp. 22–33.
Charbonneau, F., Trudel, M., and Fernandes, R., Use of dual polarization and multi-incidence SAR for soil permeability mapping, in Advanced Synthetic Aperture Radar (ASAR), St. Hubert, Canada, 2005.
Gorbunov, I.V., Makarov, V.P., and Malykh, O.F., Postfire vegetation state in the Ivano-Arakhlei natural park (Zabaikalskii krai), Usp. Sovrem. Estestvozn., 2015, no. 7, pp. 54–59.
Huete, A., Didan, K., and Miura, T., Overview of the radiometric and biophysical performance of the MODIS vegetation indices, Remote Sens. Environ., 2002, vol. 83, no. 195, pp. 213–221.
Key, C.H. and Benson, N.C., Landscape assessment: Ground measure of severity, the Composite Burn Index; and remote sensing of severity, the Normalized Burn Ratio, in FIREMON: Fire Effects Monitoring and Inventory System, Lutes, D.C., Keane, R.E., Caratti, J.F., et al., Eds., Ogden, Utah: USDA Forest Service, Rocky Mountain Research Station, 2005, General Technical Report RMRS-GTR-164-CD.
Kim, Y. and van Zyl, J., Vegetation effects on soil moisture estimation, in Proc. Int. Conf. IEEE Geoscience and Remote Sensing Society (IGARSS), 2004, vol. 2, pp. 800–802.
Kim, Y. and van Zyl, J., A time-series approach to estimate soil moisture using polarimetric radar data, IEEE Trans. Geosci. Remote Sens., 2009, vol. 47, no. 8, pp. 2519–2527.
Korets, M.A., Ryzhkova, V.A., Danilova, I.V., Sukhinin, A.I., and Bartalev, S.A., Forest disturbance assessment using satellite data for moderate and low resolution, in Environment Change in Siberia: Earth Observation. Field Studies and Modeling, Balzter, H., Ed., Springer, 2010.
Rahman, Sh., Chang, H.-Ch., Magill, Ch., Tomkins, K., and Hehir, W., Spatio–temporal assessment of fire severity and vegetation recovery utilizing SENTINEL-2 imagery in New South Wales, Australia, in Proc. Int. Conf. IEEE Geoscience and Remote Sensing Society (IGA-RSS), 2019, pp. 9960–9963.
Rodionova, N.V., Evaluation of Sentinel 1 imagery for burned area detection in southern Siberia in spring and summer 2015, Sovrem. Probl. Distantsionnogo Zondirovaniya Zemli Kosmosa, 2016, vol. 13, no. 2, pp. 164–175.
Rouse, J.W., Haas, R.H., Schell, J.A., and Deering, D.W., Monitoring vegetation systems in the Great Plains with ERTS, in Third ERTS Symposium, NASA SP-351 I, 1973, pp. 309–317.
Shvetsov, E.G., Kukavskaya, E.A., Buryak, L.V., and Barrett, K., Assessment of post-fire vegetation recovery in Southern Siberia using remote sensing observations, Environ. Res. Lett., 2019, vol. 14, pp. 1–10. https://doi.org/10.1088/1748-9326/ab083d
Trigg, S. and Flasse, S., An evaluation of different bi-spectral spaces for discriminating burned shrub-savannah, Int. J. Remote Sens., 2001, vol. 22, no. 13, pp. 2641–2647.
Trudel, M., Charbonneau, F., and Leconte, R., Using RADARS-AT-2 polarimetric and ENVISAT-ASAR dual-polarization data for estimating soil moisture over agricultural fields, Can. J. Remote Sens., 2012, vol. 38, no. 4, pp. 514–527.
ACKNOWLEDGMENTS
The authors thank V.P. Makarov, Candidate of Biological Sciences and Senior Fellow at the Institute of Natural Resources, Ecology, and Cryology’s Laboratory of Geography and Regional Nature Management, for organizing our field work in the area of the Beklemishevskaya Depression.
Funding
The work was performed as part of State Task no. 0030-2019-0008 (“Space”).
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Translated by A. Ivanov
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Rodionova, N.V., Vakhnina, I.L. & Zhelibo, T.V. Determining the Post-Fire State of Vegetation on the Territory of Ivano–Arakhley Nature Park (Zabaikal’sky Krai) Using Radar Sentinel 1 and Optical Sentinel 2 Data. Izv. Atmos. Ocean. Phys. 56, 1482–1491 (2020). https://doi.org/10.1134/S0001433820120518
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DOI: https://doi.org/10.1134/S0001433820120518