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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 …
Fast semantic segmentation of 3D point clouds with strongly varying density
We describe an effective and efficient method for point-wise semantic classification of 3D
point clouds. The method can handle unstructured and inhomogeneous point clouds such …
point clouds. The method can handle unstructured and inhomogeneous point clouds such …
Monitoring forest structure to guide adaptive management of forest restoration: a review of remote sensing approaches
With the demand for, and scale of, ecological restoration increasing globally, effectiveness
monitoring remains a significant challenge. For forest restoration, structural complexity is a …
monitoring remains a significant challenge. For forest restoration, structural complexity is a …
Urban tree species map** 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 …
Tree species classification in the Southern Alps based on the fusion of very high geometrical resolution multispectral/hyperspectral images and LiDAR data
The identification of tree species is an important issue in forest management. In recent years,
many studies have explored this topic using hyperspectral, multispectral, and LiDAR data. In …
many studies have explored this topic using hyperspectral, multispectral, and LiDAR data. In …
Tree species classification in boreal forests with hyperspectral data
Tree species map** in forest areas is an important topic in forest inventory. In recent
years, several studies have been carried out using different types of hyperspectral sensors …
years, several studies have been carried out using different types of hyperspectral sensors …
See the forest and the trees: Effective machine and deep learning algorithms for wood filtering and tree species classification from terrestrial laser scanning
Determining tree species composition in natural forests is essential for effective forest
management. Species classification at the individual tree level requires fine-scale traits …
management. Species classification at the individual tree level requires fine-scale traits …