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Assessment of Multispectral Vegetation Features for Digital Terrain Modeling in Forested Regions
ArticleAbstract: Bare-earth extraction in forested regions has been considered challenging because of the lack of groPalabras claves:Conditional random field (CRF), Digital terrain model, multispectral, vegetation indicesAutores:Cheein F.A.A., Fuentes A., Javier Guevara, Juan Villacrés, Menendez O., Robert Guamán Rivera, Tito Arevalo-RamirezFuentes:scopusConstruction of 3D maps of vegetation indices retrieved from UAV multispectral imagery in forested areas
ArticleAbstract: The construction of fuel moisture content (FMC) maps, as well as temperature, terrain topography, anPalabras claves:Canopy segmentation, Fuel moisture content, Multispectral images, Vegetation indices estimationAutores:Cheein F.A.A., Juan VillacrésFuentes:scopusFruit detection in an apple orchard using a mobile terrestrial laser scanner
ArticleAbstract: The development of reliable fruit detection and localization systems provides an opportunity to imprPalabras claves:agricultural robotics, Fruit detection, Lidar, Mobile terrestrial laser scanningAutores:Cheein F.A.A., Escolà A., Gené-Mola J., Gregorio E., Javier Guevara, Llorens J., Morros J.R., Rosell-Polo J.R., Ruiz-Hidalgo J., Sanz-Cortiella R., Vilaplana V.Fuentes:scopusFoliar moisture content from the spectral signature for wildfire risk assessments in Valparaíso-Chile
ArticleAbstract: Fuel moisture content (FMC) proved to be one of the most relevant parameters for controlling fire bePalabras claves:Fuel moisture content, Leaves spectral signature, Wildland urban interfaceAutores:Cheein F.A.A., Fuentes A., Juan Villacrés, Reszka P., Tito Arevalo-RamirezFuentes:scopusLFuji-air dataset: Annotated 3D LiDAR point clouds of Fuji apple trees for fruit detection scanned under different forced air flow conditions
OtherAbstract: This article presents the LFuji-air dataset, which contains LiDAR based point clouds of 11 Fuji applPalabras claves:Forced air flow, Fruit detection, Fruit location, Fruit reflectance, Lidar, MTLS, Yield pbkp_redictionAutores:Cheein F.A.A., Escolà A., Gené-Mola J., Gregorio E., Javier Guevara, Llorens J., Rosell-Polo J.R., Sanz-Cortiella R.Fuentes:scopusRetrieval of vegetation indices related to leaf water content from a single index: A case study of eucalyptus globulus (labill.) and pinus radiata (d. don.)
ArticleAbstract: The vegetation indices derived from spectral reflectance have served as an indicator of vegetation’sPalabras claves:EUCALYPTUS GLOBULUS, Fuel moisture content, PINUS RADIATA, Spectral reflectance, vegetation indicesAutores:Cheein F.A.A., Fuentes A., Juan Villacrés, Reszka P.Fuentes:scopusMechatronic terrestrial LiDAR for canopy porosity and crown surface estimation
ArticleAbstract: The geometric characterization of tree crops is a necessary task to obtain simple though valuable vaPalabras claves:Canopy estimation, Crown porosity, Mechatronic LiDAR, Terrestrial LiDARAutores:Cheein F.A.A., Javier Guevara, Pfeiffer S., Sanz-Cortiella R.Fuentes:scopusMoisture content estimation of Pinus radiata and Eucalyptus globulus from reconstructed leaf reflectance in the SWIR region
ArticleAbstract: Valparaíso, a central-southern region in Chile, has one of the highest rates of wildfire occurrencePalabras claves:Equivalent water thickness, Fuel moisture content, Machine learning, spectral indices, SWIR reconstructionAutores:Cheein F.A.A., Fuentes A., Juan Villacrés, Reszka P., Tito Arevalo-RamirezFuentes:scopusPredicting the Elevation of Canopy Occluded Ground Points in Dense Forest Regions
ArticleAbstract: Forest regions are still considered as complex environments for measuring terrain information by aerPalabras claves:Crown diameter (CD), digital terrain model (DTM), Mean shift, Point cloud, tree segmentationAutores:Cheein F.A.A., Tito Arevalo-RamirezFuentes:scopusSingle bands leaf reflectance prediction based on fuel moisture content for forestry applications
ArticleAbstract: Vegetation indices can be used to perform quantitative and qualitative assessment of vegetation covePalabras claves:Leaf water index, Machine learning, remote sensing, Wildfire, Wildland fuelsAutores:Cabello P.S.R., Castillo A.H.F., Cheein F.A.A., Tito Arevalo-RamirezFuentes:scopus