In recent years, technological advances have led to the increasing use of unmanned aerial
vehicles (UAVs) for forestry applications. One emerging field for drone application is forest …

Unmanned aerial vehicles (UAVs) are platforms that have been increasingly used over the
last decade to collect data for forest insect pest and disease (FIPD) monitoring. These …

Detecting disease-or insect-infested forests as early as possible is a classic application of
remote sensing. Under conditions of climate change and global warming, outbreaks of the …

When it comes to forest management and protection, knowledge is key. Therefore, forest
mapping is crucial to obtain the required knowledge towards profitable resource exploitation …

Individual tree segmentation from airborne laser scanning data is a longstanding and
important challenge in forest remote sensing. Tree segmentation algorithms are widely …

Bark beetle outbreaks can have serious consequences on forest ecosystem processes,
biodiversity, forest structure and function, and economies. Thus, accurate and timely …

Multispectral technology has a wide range of applications in agriculture. By obtaining
spectral information during crop production, key information such as growth, pests and …

Environmental quality and the citizens' well-being largely depend on the urban forests. But
managing this natural capital is challenging for its biological complexity and interactions with …

Climate change is increasing pest insects' ability to reproduce as temperatures rise,
resulting in vast tree mortality globally. Early information on pest infestation is urgently …

This study aimed to examine the potential of convolutional neural networks (CNNs) for the
detection of individual trees infested by bark beetles in a multispectral high-resolution …