Review of studies on tree species classification from remotely sensed data
Spatially explicit information on tree species composition of managed and natural forests,
plantations and urban vegetation provides valuable information for nature conservationists …
plantations and urban vegetation provides valuable information for nature conservationists …
Remote sensing technologies for enhancing forest inventories: A review
Forest inventory and management requirements are changing rapidly in the context of an
increasingly complex set of economic, environmental, and social policy objectives …
increasingly complex set of economic, environmental, and social policy objectives …
Individual tree segmentation and tree species classification in subtropical broadleaf forests using UAV-based LiDAR, hyperspectral, and ultrahigh-resolution RGB data
Accurate classification of individual tree species is essential for inventorying, managing, and
protecting forest resources. Individual tree species classification in subtropical forests …
protecting forest resources. Individual tree species classification in subtropical forests …
Urban tree species mapping using hyperspectral and lidar data fusion
In this study we fused high-spatial resolution (3.7 m) hyperspectral imagery with 22 pulse/m
2 lidar data at the individual crown object scale to map 29 common tree species in Santa …
2 lidar data at the individual crown object scale to map 29 common tree species in Santa …
A review of tree species classification based on airborne LiDAR data and applied classifiers
M Michałowska, J Rapiński - Remote Sensing, 2021 - mdpi.com
Remote sensing techniques, developed over the past four decades, have enabled large-
scale forest inventory. Light Detection and Ranging (LiDAR), as an active remote sensing …
scale forest inventory. Light Detection and Ranging (LiDAR), as an active remote sensing …
Mapping urban tree species using integrated airborne hyperspectral and LiDAR remote sensing data
Mapping tree species within urban areas is essential for sustainable urban planning as well
as to improve our understanding of the role of urban vegetation as an ecological service …
as to improve our understanding of the role of urban vegetation as an ecological service …
Status and future of laser scanning, synthetic aperture radar and hyperspectral remote sensing data for forest biomass assessment
B Koch - ISPRS Journal of Photogrammetry and Remote …, 2010 - Elsevier
This is a review of the latest developments in different fields of remote sensing for forest
biomass mapping. The main fields of research within the last decade have focused on the …
biomass mapping. The main fields of research within the last decade have focused on the …
Urban tree species classification using UAV-based multi-sensor data fusion and machine learning
S Hartling, V Sagan, M Maimaitijiang - GIScience & Remote …, 2021 - Taylor & Francis
Urban tree species classification is a challenging task due to spectral and spatial diversity
within an urban environment. Unmanned aerial vehicle (UAV) platforms and small-sensor …
within an urban environment. Unmanned aerial vehicle (UAV) platforms and small-sensor …
[PDF][PDF] Tree species classification using airborne LiDAR–effects of stand and tree parameters, downsizing of training set, intensity normalization, and sensor type
Tree species identification constitutes a bottleneck in remote sensing-based forest inventory.
In passive images the differentiating features overlap and bidirectional reflectance hampers …
In passive images the differentiating features overlap and bidirectional reflectance hampers …
Fusion of LiDAR and imagery for estimating forest canopy fuels
TL Erdody, LM Moskal - Remote Sensing of Environment, 2010 - Elsevier
Due to increased fuel loading as a result of fire suppression, land managers in the American
west are in need of precise information about the fuels they manage, including canopy fuels …
west are in need of precise information about the fuels they manage, including canopy fuels …