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"Trees, Forests and People publishes peer-reviewed papers across this full domain of tree- and forest-related science and practice"--Description, viewed July 22, 2021. "Trees and forests are at the heart of many of the most important issues of the 21st century, ranging from the survival of long-lived trees to the livelihoods of people who depend on sustained use of forest resources. The domain of Trees, Forests and People encompasses studies that examine important details about specialized topics, and broader efforts that integrate these topics to address issues of complex social-ecological systems. The Journal's focus includes trees and forests in any setting, from trees found within urban landscapes or agroforestry fields to those found in forest plantations and landscapes. The present and future state of forests is intimately tied to human factors: people strongly influence most of the world's forests today, and these forests provide for the needs of people around the globe"--Introduction, viewed July 22, 2021.

carbon budgets and fluxes --- biomass and bioenergy --- forest ecology --- silviculture --- forest economics --- forestry --- Arboriculture --- Forests and forestry --- Trees --- Dendrology --- Nursery stock --- Woody plants --- Timber --- Forest land --- Forest lands --- Forest planting --- Forest production --- Forest sciences --- Forestation --- Forested lands --- Forestland --- Forestlands --- Forestry --- Forestry industry --- Forestry sciences --- Land, Forest --- Lands, Forest --- Silviculture --- Sylviculture --- Woodlands --- Woods (Forests) --- Agriculture --- Natural resources --- Afforestation --- Logging --- Tree crops --- Horticulture --- Ornamental horticulture --- Shrubs --- Fruit-culture

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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 Sensing processing techniques on satellite images, drone-acquired images and LiDAR images, both aerial and terrestrial. Regarding the images’ classification models, all authors presented supervised methods, such as Random Forest, complemented by GIS routines and biophysical variables measured on the field, which were properly georeferenced. The achieved results enable the statement that remote imagery could be successfully used as a data source for regression analysis and formulation and, in this way, used in forestry actions such as canopy structure analysis and mapping, or to estimate biomass. This collection of papers, presented in the form of a book, brings together 13 articles covering various forest issues and issues in forest biomass calculation, constituting an important work manual for those who use mixed GIS and RS techniques.

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