[dataset]Integrated GF-4 Super-Resolution Reconstruction for High-Intensity Forest-Fire Monitoring: Smoke-Plume Mapping and Thermal-Field Retrieval

Name: [dataset]Integrated GF-4 Super-Resolution Reconstruction for High-Intensity Forest-Fire Monitoring: Smoke-Plume Mapping and Thermal-Field Retrieval
Creator: haizhou xu
Published: 2026-11-09T14:41:12.378Z
Keywords: Forest Fire Meteorology

xu, haizhou

doi:10.17632/wntr37d4v5.1

[dataset]Integrated GF-4 Super-Resolution Reconstruction for High-Intensity Forest-Fire Monitoring: Smoke-Plume Mapping and Thermal-Field Retrieval

Published: 9 November 2026| Version 1 | DOI: 10.17632/wntr37d4v5.1

Contributor:

haizhou xu

Description

The study examined forest-fire events that occurred within the study area between 2017 and 2024. A forest -fire intensity discrimination model developed in our previous study (doi:10.1109/jstars.2025.3624339) was used to identify 57 events as HIFF case studies. Due to the large volume of data, only one case out of 57 was uploaded (595 MB).

[dataset]Integrated GF-4 Super-Resolution Reconstruction for High-Intensity Forest-Fire Monitoring: Smoke-Plume Mapping and Thermal-Field Retrieval

Description

Files

Categories

Licence