Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2021, Vol. 18, No. 4, pp. 27-40
Development of methods of automatic recognition of sea ice cover based on visible and near-infrared satellite data for fishery monitoring system
A.Yu. Degay
1 , M.V. Andreev
1 , V.A. Egorov
1 , V.N. Pyrkov
1 , V.N. Chernyh
1 1 Space Research Institute RAS, Moscow, Russia
Accepted: 15.07.2021
DOI: 10.21046/2070-7401-2021-18-4-27-40
This research considers a fundamentally new technology of automatic determination of ice border and classification of ice cover based on satellite images in the visible and near-infrared ranges for its subsequent presentation in Fishery Monitoring System (FMS) mapping services. The paper describes the stages of methodology development for determining automatic classification based on the analysis of two-dimensional histograms. The presented histograms were based on normalized indices. Particular attention is paid to comparative seasonal analysis of histograms. Preliminary results of automatic classification are presented as part of the Service for the provision of classification of ice cover which is based on satellite data integrated in the FMS mapping interface. The paper proposes the ways of further development of automatic classification of ice cover and FMS services related to the presentation of ice conditions.
Keywords: classification of ice cover, remote sensing, satellite image processing (decoding, recognition)
Full textReferences:
- Andreev M. V., Egorov V. A., Uvarov I. A., Degai A. Yu., Pyrkov V. N., Chernykh V. N., Development of new methods for processing and presenting satellite data in the cartographic interface of the Fishery Monitoring System (FMS), 13-ya Vserossiiskaya otkrytaya konferentsiya “Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa” (13th All-Russia Open Conf. “Current Problems in Remote Sensing of the Earth from Space”), Book of abstr., Moscow, 16–20 Nov. 2015, Moscow: IKI RAN, 2015, p. 235 (in Russian).
- Degai A. Yu., Andreev M. V., Egorov V. A., Pyrkov V. N., Chernykh V. N., Prospects of the possibility of increasing the efficiency of satellite data processing methods for representing the ice situation in marine fishing areas, 14-ya Vserossiiskaya otkrytaya konferentsiya “Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa” (14th All-Russia Open Conf. “Current Problems in Remote Sensing of the Earth from Space”), Book of abstr., Moscow, 16–20 Nov. 2016, Moscow: IKI RAN, 2016, p. 235 (in Russian).
- Loupian E. A., Balashov I. V., Burtsev M. A., Efremov V. Yu., Kashnitskiy A. V., Kobets D. A., Krasheninnikova Yu. S., Mazurov A. A., Nazirov R. R., Proshin A. A., Sychugov I. G., Tolpin V. A., Uvarov I. A., Flitman E. V. (2015a), Development of information systems design technologies, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2015, Vol. 12, No. 5, pp. 53–75 (in Russian).
- Loupian E. A., Proshin A. A., Burtsev M. A., Balashov I. V., Bartalev S. A., Efremov V. Yu., Kashnitskii A. V., Mazurov A. A., Matveev A. M., Sudneva O. A., Sychugov I. G., Tolpin V. A., Uvarov I. A. (2015b), IKI center for collective use of satellite data archiving, processing and analysis systems aimed at solving the problems of environmental study and monitoring, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2015, Vol. 12, No. 5, pp. 263–284 (in Russian).
- Solodilov A. V., Pyrkov V. N., Integrated satellite monitoring of fishing fleet vessels, Aerokosmicheskii kur’er, 2011, No. 2(74), pp. 68–70 (in Russian).
- Breiman L., Random Forest, Machine Learning, 2001, Vol. 45, No. 1, pp. 5–32.
- Gao B. C., NDWI — A normalized difference water index for remote sensing of vegetation liquid water from space, Remote Sensing of Environment, 1996, Vol. 58, No. 3, pp. 257–266.
- Hall D. K., Riggs G. A., Salomonson V. V., Algorithm Theoretical Basis Document (ATBD) for the MODIS Snow and Sea Ice-Mapping Algorithms, 2001, available at: https://modis-snow-ice.gsfc.nasa.gov/?c=atbd.