Precision mapping of snail habitat in lake and marshland areas: Integrating environmental and textural indicators using Random Forest modeling.

ABSTRACT: Schistosomiasis japonica continues to pose a significant public health challenge in China, primarily due to the widespread distribution of Oncomelania hupensis, the sole intermediate host of Schistosoma. This study aims to address the constraints of existing remote sensing analyses for identifying snail habitats, which frequently neglect spatial scale and seasonal variations. To this end, we adopt a multi-source data-driven Random Forest approach that integrates bottomland and ground-surface texture data with traditional environmental variables, enhancing the accuracy of snail habitat assessments. We developed four distinct models for the lake and marshland areas of Guichi, China: a baseline model incorporating ground-surface texture, bottomland variables, and environmental v

SUBMITTER: Zhang X 

PROVIDER: S-EPMC11388569 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature