Habitat suitability analysis of rice sheath blight based on multisource data

Linsheng Huang; Juncheng Shang; Wenjiang Huang; Jinsong Li

doi:10.1117/12.3035671

10 July 2024 Habitat suitability analysis of rice sheath blight based on multisource data

Linsheng Huang, Juncheng Shang, Wenjiang Huang, Jinsong Li

Proceedings Volume 13223, Fifth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2024); 132232M (2024) https://doi.org/10.1117/12.3035671
Event: 2024 5th International Conference on Geology, Mapping and Remote Sensing (ICGMRS 2024), 2024, Wuhan, China

Abstract

Rice sheath blight is one of the main diseases of rice, seriously affecting the safety of rice production. This study integrates multisource data such as meteorological, spectral, and microwave data, and combines various species distribution models (SDMs) to establish a habitat suitability analysis model for rice sheath blight, thus evaluating the suitability of habitats for sheath blight. The results indicate that integrating multiple Species Distribution Models (SDMs) into an aggregative model yielded AUC values of 0.959 and 0.963 for the years 2019 and 2020 respectively. The True Skill Statistics (TSS) were 0.817 and 0.831 respectively. The overall habitat suitability for rice sheath blight in 2019 was slightly higher than that in 2020. This research provides a method for evaluating the habitat suitability of rice sheath blight, thereby offering support for the scientific prevention and control of crop diseases.

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

Citation Download Citation

Linsheng Huang, Juncheng Shang, Wenjiang Huang, and Jinsong Li "Habitat suitability analysis of rice sheath blight based on multisource data", Proc. SPIE 13223, Fifth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2024), 132232M (10 July 2024); https://doi.org/10.1117/12.3035671

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