Application of remote sensing in retrieving combustible fuel load in Guizhou region

Sihang Zhang; Zhi Yang; Kuanjun Zhu; Bin Liu; Lixian Zhou; Junke Han; Chang Liu

doi:10.1117/12.3033626

13 June 2024 Application of remote sensing in retrieving combustible fuel load in Guizhou region

Sihang Zhang, Zhi Yang, Kuanjun Zhu, Bin Liu, Lixian Zhou, Junke Han, Chang Liu

Proceedings Volume 13180, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024); 1318077 (2024) https://doi.org/10.1117/12.3033626
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), 2024, Guangzhou, China

Abstract

Guizhou Province, situated in the southwest of China, boasts diverse and complex geographical environments and abundant forest resources. However, it faces threats from natural disasters like forest fires. Accurate estimation of combustible fuel load in Guizhou is crucial for assessing fire risks and implementing effective fire management strategies. This paper employs remote sensing technology, utilizing various remote sensing datasets including satellite imagery and ground observation data, combined with geostatistical methods to retrieve combustible fuel load in Guizhou. Furthermore, the application value of the retrieval results in fire prevention management and forest resource protection is discussed.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Sihang Zhang, Zhi Yang, Kuanjun Zhu, Bin Liu, Lixian Zhou, Junke Han, and Chang Liu "Application of remote sensing in retrieving combustible fuel load in Guizhou region", Proc. SPIE 13180, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), 1318077 (13 June 2024); https://doi.org/10.1117/12.3033626

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