Spatially explicit information on tree species composition of managed and natural forests,
plantations and urban vegetation provides valuable information for nature conservationists …

A knowledge of the characteristics of urban green spaces (UGSs) such as their abundance,
spatial distribution and species composition, has an important role in a range of fields such …

As a list of remotely sensed data sources is available, how to efficiently exploit useful
information from multisource data for better Earth observation becomes an interesting but …

Tree species diversity is a key parameter to describe forest ecosystems. It is, for example,
important for issues such as wildlife habitat modeling and close-to-nature forest …

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 …

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 …

Green space is increasingly recognized as an important component of the urban
environment. Adequate management and planning of urban green space is crucial to …

Urban forest tree species mapping has benefitted from advances in remote sensing
techniques. In this study, we explored the potential of the newly developed high resolution …

Detection and classification of tree species from remote sensing data were performed using
mainly multispectral and hyperspectral images and Light Detection And Ranging (LiDAR) …

This paper proposes a novel framework for the fusion of hyperspectral and light detection
and ranging-derived rasterized data using extinction profiles (EPs) and deep learning. In …