ALL-RUSSIA OPEN ANNUAL CONFERENCES ON
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE
Principal physics, methods and techniques for monitoring the environment, potentially dangerous phenomena and objects
рус
Proceedings of the 16th Conference (November 12-16, 2018, Moscow, Russia)
Accuracy Estimation and Usage Experience of the Thermal Anomalies Detecting Algorithms Based on Himawari-8 Satellite Data
Ivan V. Balashov1, Mikhail A. Burtsev1, Alexey A. Mazurov1, Konstantin S. Senko1, Oleg V. Gutsalov2, Ilya S. Pustinskiy2, Alexey O. Chudin2, Vladislav D. Yan2
- Space Research Institute, Russian Academy of Sciences, Moscow, Russia
ivbalashov@d902.iki.rssi.ru
- Far Eastern Center of State Research Center "Planeta", Khabarovsk, Russia
pis@dvrcpod.ru
DOI 10.21046/rorse2018.155
Temperature anomalies detection using satellite data is one of the traditional tasks now. In addition to MODIS and VIIRS instruments products based on data from Aqua, Terra, Suomi NPP, JPSS NOAA-20 satellites widely used for fire monitoring, products obtained from the AHI instrument of the Japanese geostationary satellite Himawari-8 became available since October 2014. Himawari-8 satellite provides an unprecedented combination of the frequency of observations and the spatial resolution of the received data. This allowed new algorithms for detecting temperature anomalies based not only on the analysis of the temperature and spatial characteristics of fires, but also their temporal dynamics. Such an algorithm, in particular, was developed by the specialists of the Far Eastern Center of SRC "Planeta". This article is devoted to the analysis of the accuracy and efficiency of this algorithm.
Keywords: Himawari-8, satellite monitoring, fire monitoring, satellite data processing, AHI, MODIS, VIIRS
References: - [1] Pustynskiy I.S., J.A. Shamilova, E. I. Kholodov, V.V. Suhanova. The algorithm for detecting hot points from the data of the AHI device Himawari-8, Sovremennye Problemy Distantsionnogo Zondirovaniya Zemli iz Kosmosa, 2018, Vol. 15. No 5, pp. 33–43. (In Russian).
- [2] Loupian E.A., Ershov D.V., Bartalev S.A., Isaev A.S. Information System for Remote Monitoring of Forest Fires and Their Consequences: The Results of the Last Decade and Further Prospects, Aerospace Method and GIS-Technologies in Forestry and Forest Management: Proceedings of the V All-Russian Conference, Dedicated to the Memory of V.Iv. Sukhikh and G.N. Korovin. Moscow, Russia, April 22-24, 2013.- M. CEPL RAS, 2013. P. 40-43. (In Russian).
- [3] Flitman E.V., Balashov I.V., Bourtsev M.A., Galeev A.A., Egorov V.A., Kotelnikov R.V., Loupian E.A., Mazurov A.A., Matveev A.M., Proshin A.A. Organization of the MODIS Instrument Data Processing System for the Tasks of Monitoring Forest Fires and Their Aftereffects, Sovremennye Problemy Distantsionnogo Zondirovaniya Zemli iz Kosmosa, 2011, Vol. 8, No 1, pp. 127-138. (In Russian).
- [4] URL: https://modis.gsfc.nasa.gov/about/
- [5] URL: https://lpdaac.usgs.gov/sites/default/files/public/product_documentation/mod14_atbd.pdf
- [6] Stytsenko F.V., Loupian E.A., Bartalev S.A., Ershov D.V. Methods for estimating the area covered by forest fires based on satellite data of different spatial resolution, Sovremennye Problemy Distantsionnogo Zondirovaniya Zemli iz Kosmosa. Moscow, Russia, November 14-18 2016. T. С. 396. (In Russian).
- [7] URL: https://directreadout.sci.gsfc.nasa.gov/?id=dspcontent&cid=68
- [8] Bourtsev M.A., Milekhin O.E., Kramareva L.S., Antonov V.N., Balashov I.V., Kashnitskiy A.V., Loupian E.A., Matveev A.M., Proshin A.A., Uspensky S.A. Unified system of distributed work with the data of reception centers “SIC“ Planeta ”: current opportunities and development prospects, Sovremennye Problemy Distantsionnogo Zondirovaniya Zemli iz Kosmosa. Moscow, Russia, November 12-16 2018, pp. 4. DOI: 10.21046/2070-16DZZconf-2018a. (In Russian).
- [9] URL: https://firms.modaps.eosdis.nasa.gov/
- [10] URL: https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/viirs/
- [11] URL: https://www.data.jma.go.jp/mscweb/en/himawari89/space_segment/spsg_ahi.html
- [12] Loupian E.A., Bartalev S.A., Ershov D.V., Kotelnikov R.V., Balashov I.V., Bourtsev M.A., Egorov V.A., Efremov V. Yu., Zharko V.O., Kovganenko K.A., Kolbudaev P.A., Krasheninnikova Yu. S., Proshin A.A., Mazurov A.A., Uvarov I.A., Stytsenko F.V., Sychugov I.G., Flitman E.V., Khvostikov S.A., Shulyak P.P. Satellite data processing management in Forest Fires Remote Monitoring Information System (ISDM-Rosleskhoz) of the Federal Agency for Forestry, Sovremennye Problemy Distantsionnogo Zondirovaniya Zemli iz Kosmosa, 2015, Vol.12, No 5. pp. 222-250. (In Russian).
- [13] Loupian E.A., Bartalev S.A., Ershov D.V. Satellite Data Aplication Management in the ISDM-Rosleshoz System // Aerospace Methods and GIS-Technologies in Forestry, Forest Management and Ecology: Proceedings of the VI All-Russian Conference, Moscow, Russia, April 20-22, 2016. - M. CEPF RAS, 2016. P. 39-42. (In Russian).
- [14] Kashnitskiy A.V., Bartalev S.S., Efremov V. Yu., Stytsenko F.V. Burned Area Mapping within Remote Wildfire Monitoring Information Systems Based on High Resolution Satellite Data, Aerospace Methods and GIS-Technologies in Forestry, Forest Management and Ecology: Proceedings of the VI All-Russian Conference, Moscow, Russia, April 20-22, 2016. - M. CEPF RAS, 2016. P. 177-181. (In Russian).
- [15] Stytsenko F.V., Bartalev S.A., Ivanova A.A., Loupian E.A., Sychugov I.G. Forest burnt area assessment possibilities in regions of Russia based on active fires detection by satellites, Sovremennye Problemy Distantsionnogo Zondirovaniya Zemli iz Kosmosa, 2016, Vol. 13, No. 6, pp. 189-298. DOI: 10.21046/2070-7401-2016-13-6-289-298. (In Russian).
- [16] Kashnitskiy A.V., Efremov V.Yu., Loupian E.A., Bartalev S.S. Organization of a mapping system for areas traversed by natural fires using automatic classification procedures, Sovremennye Problemy Distantsionnogo Zondirovaniya Zemli iz Kosmosa. 2015, November 16-20. Abstracts С. 403. (In Russian).
- [17] E.A. Loupian, A.A. Proshin, M.A. Burtsev, I.V. Balashov, S.A. Bartalev, V.Yu. Efremov, A.V. Kashnitskiy, A.A. Mazurov, A.M. Matveev, O.A. Sudneva, I.G. Sychugov, V.A. Tolpin, I.A. Uvarov. 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).
- [18] Bartalev S.A., Ershov D.V., Loupian E.A., Tolpin V.A., Vozmozhnosti ispol’zovaniya sputnikovogo servisa VEGA dlya resheniya razlichnykh zadach monitoringa nazemnykh ekosistem (Possibilities of
- Satellite Service VEGA Using for Different Tasks of Land Ecosystems Monitoring ), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2012, Vol. 9, No. 1, pp. 49–56. (In Russian).
- [19] URL: http://sozvezdie-vega.ru
- [20] Loupian E.A., Bartalev S.A., Balashov I.V., Bartalev S.S., Bourtsev M.A., Egorov V.A., Efremov V. Yu., Zharko V.O., Kashnitskiy A.V., Kolbudaev P.A., Kramareva L.S., Mazurov A.A., Oksyukevich A.Y., Plotnikov D.E., Proshin A.A., Senko K.S., Uvarov I.A., Khvostikov S.A., Кhovratovich T.S. Vega-Primorie: complex remote forest monitoring information system, Sovremennye Problemy Distantsionnogo Zondirovaniya Zemli iz kosmosa, 2016, Vol. 13, No. 5, pp. 11-28. DOI: 10.21046/2070-7401-2016-13-5-11-28. (In Russian).
Download pdf
Section 3. Evaluation of accuracy and verification of the algorithms for remote sensing data processing
155-163