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Conditional Random Field Features and Structure Assessment for Digital Terrain Modeling
ArticleAbstract: The conditional random field is a suitable framework for contextual classification of two-dimensionaPalabras claves:Conditional random field, graph structure, ground filtering, Machine learningAutores:Cheein F.A.A., Tito Arevalo-RamirezFuentes: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:scopusSingle bands leaf reflectance pbkp_rediction 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