Abstract—The results of satellite monitoring of vegetation on unused agricultural lands during the growing season of 2018 are presented. Sod fields of different ages (2, 7, and 20 years) and bare fallows on the land used by the Krasnoyarsk Research Institute of Agriculture were the objects of the study. Satellite data with high spatial resolution (Sentinel-2 Earth remote sensing satellites) at the pre-processing Level-1C (https://earthexplorer.usgs.gov/) were used for the interpretation of sod field and fallow images. These data were used to calculate the Normalized Difference Vegetation Index (NDVI) and the Normalized Difference Soil Index (NDSI). Algorithms and software for the processing of Sentinel-2 satellite data were developed. The possibility of using NDVI dynamics for assessment and monitoring of the condition of sod fields and bare fallows has been demonstrated. The applicability of the NDSI soil index for assessment of the status of arable land has been demonstrated.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
REFERENCES
B. A. Bykov, Geobotanical Disctionary (Nauka, Moscow, 1973) [in Russian].
A. A. Rode, Explanatory Dictionary of Soil Science (Naukas, Moscow, 1975) [in Russian].
A. A. Shpedt and Yu. N. Trubnikov, Dostizheniya Nauki Tech. Agroprom. Kompl. 31 (4), 5 (2017).
J. Stefanski, T. Kuemmerle, O. Chaskovskyy, et al., Remote Sensing 6 (6), 5279 (2014). https://doi.org/10.3390/rs6065279
A. M. Berzin and V. A. Polosina, Vestn. KrasGAU, 3, 39 (2018).
C. S. A. Wallace, P. Thenkabail, J. R. Rodriguez, et al., GIScience Remote Sens. 54 (2), 258 (2017). https://doi.org/10.1080/15481603.2017.1290913
E. A. Terekhin, Geogr. Vestn. 2 (41), 118 (2017).
N. Kolecka, C. Ginzler, R. Pazur, et al., Remote Sensing 10 (8), 1221 (2018). https://doi.org/10.3390/rs10081221
U. Kanjir, N. Duric, and T. Veljanovski, Int. J. Geo-Inf. 7, 405 (2018). https://doi.org/10.3390/ijgi7100405
A. P. Shevyrnogov, T. I. Pisman, N. A Kononova, et al., Issled. Zemli Kosm. 6, 39 (2018).
M. I. Stepanov, A. I. Syso, A. S. Chumbaev, et al., Methodological Guidelines for Determining the Timing of Fallow Periods for Agricultural Lands of Novosibirsk Oblast (Nauka, Novosibirsk, 2017) [in Russian].
O. G. Bembeeva and R. R. Dzhapova, Izv. Samarsk. Nauch. Tsentra Ross. Akad. Nauk 14 (1), 1195 (2012).
E. A. Terekhin, Sovrem. Probl. Distants. Zondirovaniya Zemli iz Kosmosa 12 (1), 9 (2015).
S. A. Bartalev, V. A. Egorov, E. A. Lupyan, et al., Komp’yut. Optika 35 (1), 103 (2011).
Funding
The study was carried out within the framework of the Interdisciplinary Integration Studies Integrated Program of Fundamental Research of SB RAS for 2018–2020 (project number 74) and a State Assignment (state registration number: AAAA-A17-117013050027-1).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
The authors declare that they have no conflict of interest. This article does not contain any studies involving animals or human participants performed by any of the authors.
Additional information
Translated by S. Semenova
Abbreviations: NDVI, Normalized Difference Vegetation Index; NDSI, Normalized Difference Soil Index.
Rights and permissions
About this article
Cite this article
Pisman, T.I., Shevyrnogov, A.P., Larko, A.A. et al. The Information Content of Spectral Vegetation Indices in the Interpretation of Satellite Images of Cultivated Fields. BIOPHYSICS 64, 588–592 (2019). https://doi.org/10.1134/S0006350919040158
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1134/S0006350919040158