Data processing for forestry applications is challenged by the increasing availability of multi-
source and multi-temporal data. The advancements of Deep Learning (DL) algorithms have …

The estimation of forest attributes representing aspects of structural biodiversity from vast
areas is difficult not only because of the lack of agreement on what constitutes a structurally …

Urban flooding is a global metropolitan problem; therefore, establishing reliable streamflow
forecasting models is critical for flood control and planning in urban areas. Furthermore …

Accurate tree density and location are important information for optimizing the management
and production of forest. Combination of remote sensing techniques and local maximum …

Terrestrial laser scanning (TLS) is a highly effective and noninvasive technology for
retrieving the structural and biophysical attributes of trees using 3-D high-accuracy and high …

Casuarina equisetifolia L. plays a significant role in sandy, coastal regions for sand
stabilization and windbreaks. However, C. equisetifolia forests are susceptible to plant …

The installation of research or permanent plots is a very common task in growth and forest
yield research. At young ages, tree height is the most commonly measured variable, so the …

Detecting individual Populus euphratica (P. euphratica) trees in desert forest areas is crucial
for monitoring their ecophysiological characteristics and ecological conservation. However …

Sustainable forest management requires accurate fine-scale description of wood resources.
Stem size distribution (SSD) by species is used by foresters worldwide as a representative …

Resilient cities incorporate a social, ecological, and technological systems perspective
through their trees, both in urban and peri-urban forests and linear street trees, and help …