Voxel Volumes and Biomass: Estimating Vegetation Volume and Litter Accumulation of Exotic Annual Grasses Using Automated Ultra‐High‐Resolution SfM and Advanced Classification Techniques

Ecology and Evolution, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 1, 2025

ABSTRACT In much of the northern Great Basin western United States, rangelands, and semi‐arid ecosystems invaded by exotic annual grasses such as cheatgrass ( Bromus tectorum ) medusahead Taeniatherum caput‐medusae are experiencing an increasingly short fire cycle, which is compounding persistent. Improving expanding ground‐based field methods for measuring above‐ground biomass (AGB) may enable more sample collections across a landscape over succession regimes better harmonize with other remote sensing techniques. Developments increased adoption unoccupied aerial systems (UAS) instrumentation vegetation monitoring greater understanding in many ecosystems. Research to understand relationship traditional measurements remotely sensed data rangeland environments growing rapidly, there increasing interest use platforms quantify AGB fine‐fuel load at pasture scales. Our study uses relatively inexpensive handheld photography custom quadrat sampling frames collect automatically reconstruct 3D models within 0.2 m 2 quadrats n = 288). Next, we examine between volumetric estimates biomass. We found that volumes calculated 0.5 cm voxel sizes (0.125 3 most closely represented range weights. further develop classify ground points, finding 2% reduction predictive ability compared validation surface reconstructions. This significant given our site characterized dense litter layer covering surface, making reconstruction challenging. Overall, best workflow had R 0.42, emphasizing importance high‐resolution imagery Ultimately, conclude work needed extents (such from UAS) constrain uncertainties estimations high amounts invasive litter.

Language: Английский

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Comparative Analysis of Lidar-Uav and Dap-Uav for Surface Modeling of a Dry Dock Structure

Published: Jan. 1, 2025

Language: Английский

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Fire severity shows limited dependence on fuel structure under adverse fire weather conditions: a case study of two extreme wildfire events

Fire Ecology, Journal Year: 2025, Volume and Issue: 21(1)

Published: May 7, 2025

Language: Английский

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