Adaptiveness of RGB-image derived algorithms in the measurement of fractional vegetation coverage.

ABSTRACT:

Background

Fractional vegetation coverage (FVC) is a crucial parameter in determining vegetation structure. Automatic measurement of FVC using digital images captured by mobile smart devices is a potential direction for future research on field survey methods in plant ecology, and this algorithm is crucial for accurate FVC measurement. However, there is a lack of insight into the influence of illumination on the accuracy of FVC measurements. Therefore, the main objective of this research is to assess the adaptiveness and performance of different algorithms under varying light conditions for FVC measurements and to deepen our understanding of the influence of illumination on FVC measurement.

Methods and results

Based on a literature survey, we selected four algorithms that ha

SUBMITTER: Song C 

PROVIDER: S-EPMC9429463 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature