Automated individual tree crown detection and delineation (ITCD) using remotely sensed
data plays an increasingly significant role in efficiently, accurately, and completely …

Individual mangrove tree parameters are necessary for the efficient management and
protection of this unique ecosystem, but to measure them using remote sensing (RS) is still a …

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 …

For both the positive economic benefit and the negative ecological impact of the rapid
expansion of oil palm plantations in tropical developing countries, it is significant to achieve …

Oil palm trees are important economic crops in Malaysia and other tropical areas. The
number of oil palm trees in a plantation area is important information for predicting the yield …

Canopy height models (CHMs) derived from lidar data have been applied to extract forest
inventory parameters. However, variations in modeled height cause data pits, which form a …

Topographic Laser Ranging and Scanning, Second Edition, provides a comprehensive
discussion of topographic LiDAR principles, systems, data acquisition, and data processing …

Mangrove forests are vulnerable ecosystems that require broad-scale monitoring. Various
solutions based on satellite imagery have emerged for this purpose but still suffer from the …

Efficient forest management demands detailed, timely information. As high spatial resolution
remotely sensed imagery becomes more available, there is a great potential for conducting …

This study presents a new method of detecting individual treetops from lidar data and
applies marker-controlled watershed segmentation into isolating individual trees in savanna …