scholarly article | Q13442814 |
P8978 | DBLP publication ID | journals/remotesensing/DandoisOE15 |
P356 | DOI | 10.3390/RS71013895 |
P50 | author | Erle C. Ellis | Q47451371 |
P2093 | author name string | Marc Olano | |
Jonathan Dandois | |||
P2860 | cites work | A performance evaluation of local descriptors | Q27461536 |
Influence of vegetation structure on lidar-derived canopy height and fractional cover in forested riparian buffers during leaf-off and leaf-on conditions | Q28485869 | ||
Evidence for a recent increase in forest growth | Q33529573 | ||
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Quantifying plant colour and colour difference as perceived by humans using digital images | Q34973780 | ||
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Shadow attenuation with high dynamic range images. Creating RGB images that allow feature classification in areas otherwise obscured by shadow or oversaturation. | Q53388917 | ||
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Simulated impact of sample plot size and co-registration error on the accuracy and uncertainty of LiDAR-derived estimates of forest stand biomass | Q58253092 | ||
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Importance of biomass in the global carbon cycle | Q58261847 | ||
Reflections in Bumpy Terrain: Implications of Canopy Surface Variations for the Radiation Balance of Vegetation | Q58404303 | ||
The canopy surface and stand development: assessing forest canopy structure and complexity with near-surface altimetry | Q58404318 | ||
A Comparison of Two Open Source LiDAR Surface Classification Algorithms | Q58841742 | ||
Acquisition of NIR-Green-Blue Digital Photographs from Unmanned Aircraft for Crop Monitoring | Q59304729 | ||
Visualizing and Quantifying Vineyard Canopy LAI Using an Unmanned Aerial Vehicle (UAV) Collected High Density Structure from Motion Point Cloud | Q59309771 | ||
P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
P6216 | copyright status | copyrighted | Q50423863 |
P433 | issue | 10 | |
P921 | main subject | computer vision | Q844240 |
forest structure | Q130280417 | ||
P304 | page(s) | 13895-13920 | |
P577 | publication date | 2015-10-23 | |
P1433 | published in | Remote Sensing | Q16800644 |
P1476 | title | Optimal Altitude, Overlap, and Weather Conditions for Computer Vision UAV Estimates of Forest Structure | |
P478 | volume | 7 |
Q57424721 | Individual Tree Detection from Unmanned Aerial Vehicle (UAV) Derived Canopy Height Model in an Open Canopy Mixed Conifer Forest |
Q33454082 | Investigating Surface and Near-Surface Bushfire Fuel Attributes: A Comparison between Visual Assessments and Image-Based Point Clouds |
Q60558208 | Learning to fly: integrating spatial ecology with unmanned aerial vehicle surveys |
Q59282878 | Multi-Temporal Analysis of Forestry and Coastal Environments Using UASs |
Q92220450 | Structure from motion photogrammetry in ecology: Does the choice of software matter? |
Q57809337 | Use of Multi-Temporal UAV-Derived Imagery for Estimating Individual Tree Growth in Pinus pinea Stands |
Q57142803 | What is the Point? Evaluating the Structure, Color, and Semantic Traits of Computer Vision Point Clouds of Vegetation |
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