Karst vegetation coverage detection using UAV multispectral vegetation indices and machine learning algorithm.

ABSTRACT:

Background

Karst vegetation is of great significance for ecological restoration in karst areas. Vegetation Indices (VIs) are mainly related to plant yield which is helpful to understand the status of ecological restoration in karst areas. Recently, karst vegetation surveys have gradually shifted from field surveys to remote sensing-based methods. Coupled with the machine learning methods, the Unmanned Aerial Vehicle (UAV) multispectral remote sensing data can effectively improve the detection accuracy of vegetation and extract the important spectrum features.

Results

In this study, UAV multispectral image data at flight altitudes of 100 m, 200 m, and 400 m were collected to be applied for vegetation detection in a karst area. The resulting ground resolutions of the 100 m, 20

SUBMITTER: Pan W 

PROVIDER: S-EPMC9869541 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature