Jul 29, 2024 · Himawari-8, a geostationary satellite equipped with an advanced Himawari imager (AHI) sensor, can provide full-disk data every 10 min, thus ...
In this article, a wildfire detection method based on the spatiotemporal features of Himawari-8 data is proposed. First, a temporal convolutional network (TCN) ...
In this work, we propose a novel framework for near-real-time and early-stage wildfire detection using Himawari-8 satellite 10-min data.
Wildfire Detection Based on the Spatiotemporal and Spectral Features of Himawari-8 Data. Zezhong Zheng, Hao Hu, Weifeng Huang, Fangrong Zhou, Yi Ma, ...
The present study introduces a spatial feature-based (STF) method for forest fire detection, leveraging Himawari-8/9 imagery as the main data source.
Oct 18, 2023 · In this work, we propose a novel framework for near-real-time and early-stage wildfire detection using Himawari-8 satellite 10-min data.
... multispectral imagery, which is suitable for real-time wildfire monitoring in a large spatial and temporal scale. The potential of real-time wildfire ...
Missing: Spatiotemporal Features
May 9, 2023 · Himawari-8/AHI with six observation spots can monitor four regions in total, including the full disc (60∘ N–60∘ S, 80∘ E–160∘ W), Japan (scope ...
Dec 8, 2018 · Here, we present a novel spatiotemporal contextual model (STCM) that fully exploits the Himawari-8 satellite data's temporal and spatial ...
NASA/ADS · A Spatio-Temporal Contextual Model for Forest Fire Detection Using Himawari-8 Satellite Data.
Missing: Wildfire Spectral Features