Near real-time extracting wildfire spread rate from Himawari-8 satellite data

X Liu, B He, X Quan, M Yebra, S Qiu, C Yin, Z Liao… - Remote Sensing, 2018 - mdpi.com
… that the Himawari-8, a next generation geostationary satellite … have the potential for near
real-time FSR extraction. To that … for near real-time FSR extraction based on the Himawari-8 data

A spatiotemporal contextual model for forest fire detection using Himawari-8 satellite data

Z Xie, W Song, R Ba, X Li, L Xia - Remote Sensing, 2018 - mdpi.com
… has the advantage of wide coverage, timeliness, and low cost, it … The following inequalities
are the criteria for extracting fire … assist in tasks that are related to real-time wildfire monitoring. …

Near-Real-Time Wildfire Detection Approach with Himawari-8/9 Geostationary Satellite Data Integrating Multi-Scale Spatial-Temporal Feature

L Zhang, Q Zhang, Q Yang, L Yue, J He, X Jin… - Available at SSRN … - papers.ssrn.com
… 1) We propose a deep learning framework for near-real-time wildfire detection with 8
Himawari-8/9 geostationary satellite data by … Near real-time 9 extracting wildfire spread rate from …

Detection and monitoring of forest fires using Himawari-8 geostationary satellite data in South Korea

E Jang, Y Kang, J Im, DW Lee, J Yoon, SK Kim - Remote Sensing, 2019 - mdpi.com
… the real-time detection of such small forest fires (<8 ha) using … randomly extracted from the
forested areas from the imagesspread rate calculation can be combined with active fire data

Forest fire monitoring and positioning improvement at subpixel level: application to himawari-8 fire products

H Xu, G Zhang, Z Zhou, X Zhou, C Zhou - Remote Sensing, 2022 - mdpi.com
… -PSA method can extract forest-fire locations at subpixel level, … forest coverage rate in Hunan
Province, China, forest fires are … makes it possible to detect forest fires in almost real time. …

Wildfire detection through deep learning based on Himawari-8 satellites platform

C Ding, X Zhang, J Chen, S Ma, Y Lu… - International Journal of …, 2022 - Taylor & Francis
… for the near real-time (NRT) monitoring of wildfires. Points … identifying wildfires and predicting
their spread by extracting fire-… In addition, the learning rate was set to 10 −4 in conjunction …

Landslide detection with himawari-8 geostationary satellite data: A case study of a torrential rain event in Kyushu, Japan

T Miura, S Nagai - Remote Sensing, 2020 - mdpi.com
… for the near real-time monitoring of both the spread rate and direction of wildfire in Australia
[… Thus, we extracted smoothed trends from AHI NDVI by adapting and applying a combination …

A weighted contextual active fire detection algorithm based on Himawari-8 data

H Zhang, L Sun, C Zheng, S Ge, J Chen… - International Journal of …, 2023 - Taylor & Francis
… The use of satellite remote sensing means to monitor wildfirescost, and high spatial
continuity and can provide real-time … is used as the cloud mask extraction condition for this study …

Himawari-8 satellite based dynamic monitoring of grassland fire in China-Mongolia border regions

L Na, J Zhang, Y Bao, Y Bao, R Na, S Tong, A Si - Sensors, 2018 - mdpi.com
Forest-fire prevention intelligence of the Hinggan league in … , as such near real-time
satellite monitoring systems will … the fire product data, the burnt area extracted from the higher …

Determination of sample fire points by combined medium and high-resolution datasets and its implementation in Himawari-8 to detect fire: Deep learning algorithm

C Zheng, L Sun, H Huang, H Zhang… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
… -quality sampled datasets for extracting Himawari-8 AHI fire point … An algorithm is proposed
to enhance the Himawari-8 wildfire … of Himawari-8 are fully utilized, allowing near-real-time