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

Forest inventory and management requirements are changing rapidly in the context of an
increasingly complex set of economic, environmental, and social policy objectives …

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 …

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 …

Automated individual tree crown detection and delineation (ITCD) using remotely sensed
data plays an increasingly significant role in efficiently, accurately, and completely …

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 …

In this study, we automate tree species classification and map** using field-based training
data, high spatial resolution airborne hyperspectral imagery, and a convolutional neural …

Abstract The first International Conference on Urban Tree Diversity hosted in June 2014 by
the Swedish University of Agricultural Science in Alnarp, Sweden highlighted the need for a …

Generalization to novel domains is a fundamental challenge for computer vision. Near-
perfect accuracy on benchmarks is common, but these models do not work as expected …