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Fire regimes parameters varied across topographic gradients at landscape scales promoting fine grain forest structural patterns.
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The addition of fine grain information on forest structure (LiDAR) led to a better understanding of landscape use and a more accurate spatial representation of habitat suitability, even for a species with large spatial requirements as the brown bear, which will result in the development of more effective measures to assist endangered species conservation.
The difference between the maximum fine grained data subset generates a fine grain refining combination.
That's how you get very, very fine grain; very highly detailed enlargements.
Refine the fine grain.
The difference for Skyhigh is in the fine grain controls.
LandMod is a spatially explicit, stochastic model designed to simulate forest dynamics in the west-central Oregon Cascades over long time frames (500+ years) and large spatial extents (≥18,000 ha) at a relatively fine grain (0.04 1 ha).
Recrystallized zone or fine grain heat-affected zone (FGHAZ) 3.
Recrystallized zone or fine grain heat-affected zone (FGHAZ).
Microstructural observations clearly showed fine grain structure achieved after ECAP.
Generally, particles with coarse grain size move faster than those with fine grain size.
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