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Works cited by this work

58 works

Work: Multi-platform LiDAR approach for detecting coarse woody debris in a landscape with varied ground cover

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  3. The Elements of Statistical Learning

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  4. Implementation of machine-learning classification in remote sensing: an applied review

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  5. Bringing forward the benefits of coarse woody debris in ecosystem recovery under different levels of grazing and vegetation density

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  6. Integrating research and restoration: the establishment of a long-term woodland experiment in south-eastern Australia

    Adrian D. Manning, J. T. Wood, R. B. Cunningham +4

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  7. Lidar Remote Sensing for Ecosystem Studies

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  8. Leveraging TLS as a Calibration and Validation Tool for MLS and ULS Mapping of Savanna Structure and Biomass at Landscape-Scales

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  9. A suite of global, cross-scale topographic variables for environmental and biodiversity modeling

    Giuseppe Amatulli, Sami Domisch, Mao‐Ning Tuanmu +4

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  10. raster: Geographic Data Analysis and Modeling

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  11. The conservation implications of bird reproduction in the agricultural “matrix”: a case study of the vulnerable superb parrot of south-eastern Australia

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  12. Combined Use of Terrestrial Laser Scanning and UAV Photogrammetry in Mapping Alpine Terrain

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  13. A comparison of pixel-based and object-based image analysis with selected machine learning algorithms for the classification of agricultural landscapes using SPOT-5 HRG imagery

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  14. Journal of Geophysical Research: Biogeosciences

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  15. A Review of LIDAR Radiometric Processing: From Ad Hoc Intensity Correction to Rigorous Radiometric Calibration

    Alireza Kashani, Michael J. Olsen, Christopher Parrish +1

    Review article20152 citations
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  16. System for Automated Geoscientific Analyses (SAGA) v. 2.1.4

    Olaf Conrad, Benjamin Bechtel, M. Bock +6

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