RORSE
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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



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Information Technologies in Remote Sensing of the Earth - RORSE 2018

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

  1. Space Research Institute, Russian Academy of Sciences, Moscow, Russia
    ivbalashov@d902.iki.rssi.ru
  2. 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:

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Section 3. Evaluation of accuracy and verification of the algorithms for remote sensing data processing

155-163