Mapping of urban vegetation with high-resolution remote sensing: A review

R Neyns, F Canters - Remote sensing, 2022 - mdpi.com
Green space is increasingly recognized as an important component of the urban
environment. Adequate management and planning of urban green space is crucial to …

[HTML][HTML] Mapping tree species using advanced remote sensing technologies: A state-of-the-art review and perspective

R Pu - Journal of remote sensing, 2021 - spj.science.org
Timely and accurate information on tree species (TS) is crucial for developing strategies for
sustainable management and conservation of artificial and natural forests. Over the last four …

Individual tree segmentation and tree species classification in subtropical broadleaf forests using UAV-based LiDAR, hyperspectral, and ultrahigh-resolution RGB data

H Qin, W Zhou, Y Yao, W Wang - Remote Sensing of Environment, 2022 - Elsevier
Accurate classification of individual tree species is essential for inventorying, managing, and
protecting forest resources. Individual tree species classification in subtropical forests …

Individual tree detection from unmanned aerial vehicle (UAV) derived canopy height model in an open canopy mixed conifer forest

M Mohan, CA Silva, C Klauberg, P Jat, G Catts… - Forests, 2017 - mdpi.com
Advances in Unmanned Aerial Vehicle (UAV) technology and data processing capabilities
have made it feasible to obtain high-resolution imagery and three dimensional (3D) data …

Object-based mangrove species classification using unmanned aerial vehicle hyperspectral images and digital surface models

J Cao, W Leng, K Liu, L Liu, Z He, Y Zhu - Remote Sensing, 2018 - mdpi.com
Mangroves are one of the most important coastal wetland ecosystems, and the compositions
and distributions of mangrove species are essential for conservation and restoration efforts …

Mapping urban tree species using integrated airborne hyperspectral and LiDAR remote sensing data

L Liu, NC Coops, NW Aven, Y Pang - Remote Sensing of Environment, 2017 - Elsevier
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 …

Identifying species from the air: UAVs and the very high resolution challenge for plant conservation

S Baena, J Moat, O Whaley, DS Boyd - PloS one, 2017 - journals.plos.org
The Pacific Equatorial dry forest of Northern Peru is recognised for its unique endemic
biodiversity. Although highly threatened the forest provides livelihoods and ecosystem …

Tree species classification using plant functional traits from LiDAR and hyperspectral data

Y Shi, AK Skidmore, T Wang, S Holzwarth… - International Journal of …, 2018 - Elsevier
Plant functional traits have been extensively used to describe, rank and discriminate species
according to their variability between species in classical plant taxonomy. However, the …

[HTML][HTML] The current and future uses of machine learning in ecosystem service research

M Scowen, IN Athanasiadis, JM Bullock… - Science of the Total …, 2021 - Elsevier
Abstract Machine learning (ML) expands traditional data analysis and presents a range of
opportunities in ecosystem service (ES) research, offering rapid processing of 'big data'and …

A review: Individual tree species classification using integrated airborne LiDAR and optical imagery with a focus on the urban environment

K Wang, T Wang, X Liu - Forests, 2018 - mdpi.com
With the significant progress of urbanization, cities and towns are suffering from air pollution,
heat island effects, and other environmental problems. Urban vegetation, especially trees …