Aerospace engineering

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Satellite

Geostationary orbit

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Environmental science

Remote sensing

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.

Accuracy Estimation and Usage Experience of the Thermal Anomalies Detecting Algorithms Based on Himawari-8 Satellite Data