Remote sensing image segmentation advances: A meta-analysis
The advances in remote sensing sensors during the last two decades have led to the
production of very high spatial resolution multispectral images. In order to adapt to this rapid …
production of very high spatial resolution multispectral images. In order to adapt to this rapid …
Review of studies on tree species classification from remotely sensed data
Spatially explicit information on tree species composition of managed and natural forests,
plantations and urban vegetation provides valuable information for nature conservationists …
plantations and urban vegetation provides valuable information for nature conservationists …
Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects
Plant phenomics is a new avenue for linking plant genomics and environmental studies,
thereby improving plant breeding and management. Remote sensing techniques have …
thereby improving plant breeding and management. Remote sensing techniques have …
[HTML][HTML] Automated parameterisation for multi-scale image segmentation on multiple layers
We introduce a new automated approach to parameterising multi-scale image segmentation
of multiple layers, and we implemented it as a generic tool for the eCognition® software …
of multiple layers, and we implemented it as a generic tool for the eCognition® software …
Identification of citrus trees from unmanned aerial vehicle imagery using convolutional neural networks
Remote sensing is important to precision agriculture and the spatial resolution provided by
Unmanned Aerial Vehicles (UAVs) is revolutionizing precision agriculture workflows for …
Unmanned Aerial Vehicles (UAVs) is revolutionizing precision agriculture workflows for …
A convolutional neural network approach for counting and geolocating citrus-trees in UAV multispectral imagery
Visual inspection has been a common practice to determine the number of plants in
orchards, which is a labor-intensive and time-consuming task. Deep learning algorithms …
orchards, which is a labor-intensive and time-consuming task. Deep learning algorithms …
Urban tree species classification using a WorldView-2/3 and LiDAR data fusion approach and deep learning
Urban areas feature complex and heterogeneous land covers which create challenging
issues for tree species classification. The increased availability of high spatial resolution …
issues for tree species classification. The increased availability of high spatial resolution …
Lidar boosts 3D ecological observations and modelings: A review and perspective
The advent of lidar has revolutionized the way we observe and measure vegetation structure
from the ground and from above and represents a major advance toward the quantification …
from the ground and from above and represents a major advance toward the quantification …
[HTML][HTML] Map** the urban forest in detail: From LiDAR point clouds to 3D tree models
M Münzinger, N Prechtel, M Behnisch - Urban Forestry & Urban Greening, 2022 - Elsevier
Trees are an integral component of the urban environment and important for human well-
being, adaption measures to climate change and sustainable urban transformation …
being, adaption measures to climate change and sustainable urban transformation …
Individual mangrove tree measurement using UAV-based LiDAR data: Possibilities and challenges
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 …
protection of this unique ecosystem, but to measure them using remote sensing (RS) is still a …