Background: Improved maps of species distributions are important for effective management of wildlife under increasing anthropogenic pressures. Recent advances in lidar and radar remote sensing have shown considerable potential for mapping forest structure and habitat characteristics across landscapes. However, their relative efficacies and integrated use in habitat mapping remain largely...
A topic of recurring interest in ecological research is the degree to which
vegetation structure influences the distribution and abundance of species. Here we test the
applicability of remote sensing, particularly novel use of waveform lidar measurements, for
quantifying the habitat heterogeneity of a contiguous northern hardwoods forest in the...
Ecological domains seeking to understand the environment and the behavior of species have received little attention in machine learning (ML), despite the fact that environmental changes have a significant impact on humans as well as ecosystems. Some ecological problems can be formulated similarly to other common ML applications, but there...