Applications of Remote Sensing Data in Mapping of Forest Growing Stock and Biomass

This Special Issue (SI), entitled "Applications of Remote Sensing Data in Mapping of Forest Growing Stock and Biomass”, resulted from 13 peer-reviewed papers dedicated to Forestry and Biomass mapping, characterization and accounting. The papers' authors presented improvements in Remote Sen...

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Detalles Bibliográficos
Otros Autores:	Aranha, José (Editor)
Formato:	Libro electrónico
Idioma:	Inglés
Publicado:	Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Materias:	Research & information: general Geography AGB estimation and mapping mangroves UAV LiDAR WorldView-2 terrestrial laser scanning above-ground biomass nondestructive method DBH bark roughness Landsat dataset forest AGC estimation random forest spatiotemporal evolution aboveground biomass variable selection forest type machine learning subtropical forests Landsat 8 OLI seasonal images stepwise regression map quality subtropical forest urban vegetation biomass estimation Sentinel-2A Xuzhou forest biomass estimation forest inventory data multisource remote sensing biomass density ecosystem services trade-off synergy multiple ES interactions valley basin norway spruce LiDAR allometric equation individual tree detection tree height diameter at breast height GEOMON ALOS-2 L band SAR Sentinel-1 C band SAR Sentinel-2 MSI ALOS DSM stand volume support vector machine for regression ordinary kriging forest succession leaf area index plant area index machine learning algorithms forest growing stock volume SPOT6 imagery Pinus massoniana plantations sentinel 2 landsat remote sensing GIS shrubs biomass bioenergy vegetation indices
Ver en Biblioteca Universitat Ramon Llull:	https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009654478006719