ArticleFrontiers in plant science2023
Correction of UAV LiDAR-derived grassland canopy height based on scan angle.
Article in Frontiers in plant science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Assessing the performance of remotely sensed functional traits and spectral metrics for estimating multidimensional plant diversity in wetlands using UAV data.Plant diversity · 2026Article
- Declining grassland canopy height in China under asymmetric biomass allocation.Nature communications · 2026Article
- Plant height measurement using UAV-based aerial RGB and LiDAR images in soybean.Frontiers in plant science · 2025Article
- UAV and Satellite Synergies for Mapping Grassland Aboveground Biomass in Hulunbuir Meadow Steppe.Plants (Basel, Switzerland) · 2024Article
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11 authors.
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Abstract
Grassland canopy height is a crucial trait for indicating functional diversity or monitoring species diversity. Compared with traditional field sampling, light detection and ranging (LiDAR) provides new technology for mapping the regional grassland canopy height in a time-saving and cost-effective way. However, the grassland canopy height based on unmanned aerial vehicle (UAV) LiDAR is usually underestimated with height information loss due to the complex structure of grassland and the relatively small size of individual plants. We developed canopy height correction methods based on scan angle to improve the accuracy of height estimation by compensating the loss of grassland height. Our method established the relationships between scan angle and two height loss indicators (height loss and height loss ratio) using the ground-measured canopy height of sample plots with 1×1m and LiDAR-derived heigh. We found that the height loss ratio considering the plant own height had a better performance (R
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