Tree-crown and height are primary tree measurements in forest inventory. Convolutional
neural networks (CNNs) are a class of neural networks, which can be used in forest …

Forest management inventories (FMIs) provide critical information, usually at the stand level,
for forest management planning. A typical FMI includes (i) the delineation of the inventory …

Old-growth forests (OGF) provide valuable ecosystem services such as habitat provision,
carbon sequestration or recreation maintaining biodiversity, carbon storage, or human well …

Boreal forests constitute a large portion of the global forest area, yet they are undersampled
through field surveys, and only a few remotely sensed data sources provide structural …

Accurate estimation of forest terrain and canopy height is crucial for timely understanding of
forest growth. Gao Fen-7 (GF-7) Satellite is China's first sub-meter-level three-dimensional …

Point cloud data derived from stereo satellite imagery has the potential to provide large-
scale forest inventory assessment but these methods are known to include higher error than …

Stereoscopic images are getting attentions in the forest remote sensing. It is essential to
clarify environmental effects on detecting forest spatial structures using stereoscopic images …

Accurate, cost-effective monitoring and management of young forests is important for future
stand quality. There is a critical need for a rapid assessment tool for forest monitoring and …

Monitoring vegetation recovery typically requires ground measurements of vegetation
height, which is labor-intensive and time-consuming. Recently, unmanned aerial vehicles …

The optimal configurations for very high-resolution (VHR,< 2 m) spaceborne imagery
collection to support stereogrammetry over complex forested terrain remain uncertain. We …