This paper presents the first study to assess the capability of Himawari-8 data in estimating near real-time FSR. To that end, a novel method is presented based�...
To that end, we propose a novel method (named H8-FSR) for near real-time FSR extraction based on the Himawari-8 data. The method first defines the centroid of�...
A Spatiotemporal Contextual Model for Forest Fire Detection Using Himawari-8 Satellite Data � Environmental Science, Computer Science. Remote. Sens. � 2018.
These results demonstrated that the Himawari-8 data are valuable for near real-time FSR extraction, and also suggested that the proposed method could be�...
Oct 13, 2018 � These results demonstrated that the Himawari-8 data are valuable for near real-time FSR extraction, and also suggested that the proposed method�...
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Liu, X, He, B, Quan, X et al 2018, 'Near real-time extracting Wildfire spread rate from Himawari-8 satellite data', Remote Sensing, vol. 10, no. 10, pp. 15pp.
Dive into the research topics of 'Near real-time extracting Wildfire spread rate from Himawari-8 satellite data'. Together they form a unique fingerprint. Sort�...
Near Real-Time Extracting Wildfire Spread Rate from Himawari-8 Satellite Data. Remote Sens. 2018, 10, 1654. https://doi.org/10.3390/rs10101654. AMA Style. Liu�...
This study proposed a wildfire detection algorithm combined with an improved spatial contextual algorithm and machine learning method in southwest China. First,�...
May 9, 2023 � Z., and Zhang, H.: Near real-time extracting wildfire spread rate from Himawari-8 satellite data, Remote Sens., 10, 1654, https://doi.org�...