ESC ING INDUSTRIA FOREST AGRO Y BIOENER
Centro
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Oregon State University
Corvallis, Estados UnidosPublicacións en colaboración con investigadores/as de Oregon State University (21)
2023
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Assessment of herbaceous vegetation classification using orthophotos produced from the image acquired with unmanned aerial systems
Notulae Botanicae Horti Agrobotanici Cluj-Napoca, Vol. 51, Núm. 3
2022
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Comparison of Model-Assisted Endogenous Poststratification Methods for Estimation of Above-Ground Biomass Change in Oregon, USA
Remote Sensing, Vol. 14, Núm. 23
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Global beta diversity patterns of microbial communities in the surface and deep ocean
Global Ecology and Biogeography, Vol. 31, Núm. 11, pp. 2323-2336
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Specifying geospatial data product characteristics for forest and fuel management applications
Environmental Research Letters, Vol. 17, Núm. 4
2021
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Comparison of two parameter recovery methods for the transformation of Pinus sylvestris yield tables into a diameter distribution model
Annals of Forest Science, Vol. 78, Núm. 1
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Regional modeling of forest fuels and structural attributes using airborne laser scanning data in Oregon
Remote Sensing, Vol. 13, Núm. 2, pp. 1-38
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Using Fay–Herriot Models and Variable Radius Plot Data to Develop a Stand-Level Inventory and Update a Prior Inventory in the Western Cascades, OR, United States
Frontiers in Forests and Global Change, Vol. 4
2020
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Estimating wildfire fuel consumption with multitemporal airborne laser scanning data and demonstrating linkage with MODIS-derived fire radiative energy
Remote Sensing of Environment, Vol. 251
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Model-based estimation of forest inventory attributes using lidar: A comparison of the area-based and semi-individual tree crown approaches
Remote Sensing, Vol. 12, Núm. 16
2019
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Analysis of Classification Methods for Identifying Stands for Commercial Thinning Using LiDAR
Canadian Journal of Remote Sensing, Vol. 45, Núm. 5, pp. 673-690
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Applications of ALS (Airborne Laser Scanning) data to Forest Inventory. Experiences with pine stands from mountainous environments in Spain
IOP Conference Series: Earth and Environmental Science
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Estimation of changes of forest structural attributes at three different spatial aggregation levels in Northern California using multitemporal LiDAR
Remote Sensing, Vol. 11, Núm. 8
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Prediction of diameter distributions and tree-lists in southwestern oregon using lidar and stand-level auxiliary information
Canadian Journal of Forest Research, Vol. 49, Núm. 7, pp. 775-787
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The visual landscape as a resource and its integration in forestry activities. Reflections for boreal forests
IOP Conference Series: Earth and Environmental Science
2017
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Analysis of area level and unit level models for small area estimation in forest inventories assisted with LiDAR auxiliary information
PLoS ONE, Vol. 12, Núm. 12
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Analysis of spatial correlation in predictive models of forest variables that use LiDAR auxiliary information
Canadian Journal of Forest Research, Vol. 47, Núm. 6, pp. 788-799
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Area-level analysis of forest inventory variables
European Journal of Forest Research, Vol. 136, Núm. 5-6, pp. 839-855
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Comparison of sampling methods for estimation of nearest-neighbor index values
Canadian Journal of Forest Research, Vol. 47, Núm. 6, pp. 703-715
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The challenge of estimating a residual spatial autocorrelation from forest inventory data
Canadian Journal of Forest Research, Vol. 47, Núm. 11, pp. 1557-1566
2014
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Bringing an ecological view of change to landsat-based remote sensing
Frontiers in Ecology and the Environment, Vol. 12, Núm. 6, pp. 339-346