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 …

Timely and accurate information on tree species (TS) is crucial for develo** strategies for
sustainable management and conservation of artificial and natural forests. Over the last four …

This study proposes and evaluates five deep fully convolutional networks (FCNs) for the
semantic segmentation of a single tree species: SegNet, U-Net, FC-DenseNet, and two …

Brain-inspired algorithms have become a new trend in next-generation artificial intelligence.
Through research on brain science, the intelligence of remote sensing algorithms can be …

Rapid and accurate identification of tree species via remote sensing technology has become
one of the important means for forest inventory. This paper is to develop an accurate tree …

Urban forests are becoming increasingly important for human well-being as they provide
ecosystem services that contribute to improving well-being of city dwellers and to addressing …

Estimation of terrestrial carbon balance is one of the key tasks in the understanding and
prognosis of climate change impacts and the development of tools and policies according to …

The positive impact of urban forests and trees on the well-being of urban residents
worldwide is well known. Resistance to pests, diseases, and extreme weather events are …